A design pattern for a Smarter City: Online Peer-to-Peer and Regional Marketplaces

(Photo of Moseley Farmers’ Market in Birmingham by Bongo Vongo)

(In “Do we need a Pattern Language for Smarter Cities” I suggested that “design patterns“, a tool for capturing re-usable experience invented by the town-planner Christopher Alexander, might offer a useful way to organise our knowledge of successful approaches to “Smarter Cities”. I’m now writing a set of design patterns to describe ideas that I’ve seen work more than once. The collection is described and indexed in “Design Patterns for Smarter Cities” which can be found from the link in the navigation bar of this blog).  

Design Pattern: Online Peer-to-Peer and Regional Marketplaces

Summary of the pattern:

A society is defined by the transactions that take place within it, whether their characteristics are social or economic, and whether they consist of material goods or communication. Many of those transactions take place in some form of marketplace.

As traditional business has globalised and integrated over the last few decades, many of the systems that support us – food production and distribution, energy generation, manufacturing and resource extraction, for example – have optimised their operations globally and consolidated ownership to exploit economies of scale and maximise profits. Those operations have come to dominate the marketplaces for the goods and services they consume and process; they defend themselves from competition through the expense and complexity of the business processes and infrastructures that support their operations; through their brand awareness and sales channels to customers; and through their expert knowledge of the availability and price of the resources and components they need.

However, in recent years dramatic improvements in information and communication technology – especially social mediamobile devicese-commerce and analytics – have made it dramatically easier for people and organisations with the potential to transact with each other to make contact and interact. Information about supply and demand has become more freely available; and it is increasingly easy to reach consumers through online channels – this blog, for instance, costs me nothing to write other than my own time, and now has readers in over 140 countries.

In response, online peer-to-peer marketplaces have emerged to compete with traditional models of business in many industries – Apple’s iTunes famously changed the music industry in this way; YouTube has transformed the market for video content and Prosper and Zopa have created markets for peer-to-peer lending. And as technologies such as 3D printing and small-scale energy generation improve, these ideas will spread to other industries as it becomes possible to carry out activities that previously required expensive, large-scale infrastructure at a smaller scale, and so much more widely.

(A Pescheria in Bari, Puglia photographed by Vito Palmi)

Whilst many of those marketplaces are operated by commercial organisations which exist to generate profit, the relevance of online marketplaces for Smarter Cities arises from their ability to deliver non-financial outcomes: i.e. to contribute to the social, economic or environmental objectives of a city, region or community.

The e-Bay marketplace in second hand goods, for example, has extended the life of over $100 billion of goods since it began operating by offering a dramatically easier way for buyers and sellers to identify each other and conduct business than had ever existed before. This spreads the environmental cost of manufacture and disposal of goods over the creation of greater total value from them, contributing to the sustainability agenda in every country in which e-Bay operates.

Local food marketplaces such as Big Barn and Sustaination in the UK, m-farm in Kenya and the fish-market pricing information service operated by the University of Bari in Puglia, Italy, make it easier for consumers to buy locally produced food, and for producers to sell it; reducing the carbon footprint of the food that is consumed within a region, and assisting the success of local businesses.

The opportunity for cities and regions is to encourage the formation and success of online marketplaces in a way that contributes to local priorities and objectives. Such regional focus might be achieved by creating marketplaces with restricted access – for example, only allowing individuals and organisations from within a particular area to participate – or by practicality: free recycling networks tend to operate regionally simply because the expense of long journeys outweighs the benefit of acquiring a secondhand resource for free. The cost of transportation means that in general many markets which support the exchange of physical goods and services in small-scale, peer-to-peer transactions will be relatively localised.

City systems, communities and infrastructures affected:

(This description is based on the elements of Smarter City ecosystems presented in ”The new Architecture of Smart Cities“).

  • Goals: all
  • People: employees, business people, customers, citizens
  • Ecosystem: private sector, public sector, 3rd sector, community
  • Soft infrastructures: innovation forums; networks and community forums
  • Hard infrastructures: information and communication technology, transport and utilities network

Commercial operating model:

The basic commercial premise of an online marketplace is to invest in the provision of online marketplace infrastructure in order to create returns from revenue streams within it. Various revenue streams can be created: for example, e-Bay apply fees to transactions conducted through their marketplace, as does the crowdfunding scheme Spacehive; whereas Linked-In charges a premium subscription fee to businesses such as recruitment agencies in return for the right to make unsolicited approaches to members.

More complex revenue models are created by allowing value-add service providers to operate in the marketplace – such as the payment service PayPal, which operated in e-Bay long before it was acquired; or the start-up Addiply, who add hyperlocal advertising to online transactions. The marketplace operator can also provide fee-based “white-label” or anonymised access to marketplace services to allow third parties to operate their own niche marketplaces – Amazon WebStore, for example, allows traders to build their own, branded online retail presence using Amazon’s services.

(Photo by Mark Vauxhall of public Peugeot Ions on Rue des Ponchettes, Nice, France)

Online marketplaces are operated by a variety of entities: entrepreneurial technology companies such as Shutl, for example, who offer services for delivering goods bought online through a marketplace provding access to independent delivery agents and couriers; or traditional commercial businesses seeking to “servitise” their business models, create “disruptive business platforms” or create new revenue streams from data.

(Apple’s iTunes was a disruptive business platform in the music industry when it launched – it used a new technology-enabled marketplace to completely change flows of money within the industry; and streaming media services such as Spotify have servitised the music business by allowing us to pay for the right to listen to any music we like for a certain period of time, rather than paying for copies of specific musical works as “products” which we own outright. Car manufacturers such as Peugeot are collaborating with car clubs to offer similar “pay-as-you-go” models for car use, particularly as an alternative to ownership for electric cars. Some public sector organisations are also exploring these innovations, especially those that possess large volumes of data.)

Marketplaces can create social, economic and environmental outcomes where they are operated by commercial, profit-seeking organisations which seek to build brand value and customer loyalty through positive environmental and societal impact. Many private enterprises are increasingly conscious of the need to contribute to the communities in which they operate. Often this results from the desire of business leaders to promote responsible and sustainable approaches, combined with the consumer brand-value that is created by a sincere approach. UniLever are perhaps the most high profile commercial organisation pursuing this strategy at present; and Tesco have described similar initiatives recently, such as the newly-launched Tesco Buying Club which helps suppliers secure discounts through collective purchasing. There is a clearly an opportunity for local communities and local government organisations to engage with such initiatives from private enterprise to explore the potential for online marketplaces to create mutual benefit.

In other cases, marketplaces are operated by not-for-profit organisations or social enterprises for whom creating social or economic outcomes in a financially and environmentally sustainable way is the first priority. The social enterprise approach is important if cities everywhere are to benefit from information marketplaces: most commercially operated marketplaces with a geographic focus operate in large, capital cities: these provide the largest customer base and minimise the risk associated with the investment in creating the market. If towns, cities and regions elsewhere wish to benefit from online marketplaces, they may need to encourage alternative models such as social enterprise to deliver them.

Finally, Some schemes are operated entirely on free basis, for example the Freecycle recycling network; or as charitable or donor-sponsored initiatives, for example the Kiva crowdfunding platform for charitable initiatives.

Soft infrastructures, hard infrastructures and assets required:

(The SMS for Life project uses the cheap and widely used SMS infrastructure to create a dynamic, collaborative supply chain for medicines between pharmacies in Africa. Photo by Novartis AG)

The technology infrastructures required to implement online marketplaces include those associated with e-commerce technology and social media: catalogues of goods and services; pricing mechansims; support for marketing campaigns; networks of individuals and organisations and the ability to make connections between them; payments services and multi-channel support.

Many e-commerce platforms offer support for online payments integrated with traditional banking systems; or mobile payments schemes such as the M-Pesa scheme in Kenya can be used. Alternatively, the widespread growth in local currencies and alternative trading systems might offer innovative solutions that are particularly relevant for marketplaces with a regional focus.

In order to be successful, marketplaces need to create an environment of trust in which transactions can be undertaken safely and reliably. As the internet has developed over the past two decades, technologies such as certificate-based identity assurance, consumer reviews and reputation schemes have emerged to create trust in online transactions and relationships. However, many online marketplaces provide robust real-world governance models in addition to tools to create online trust: the peer-to-peer lender Zopa created “Zopa Safeguard“, for example, an independent, not-for-profit entity with funds to re-imburse investors whose debtors are unable to repay them.

Marketplaces which involve the transaction of goods and services with some physical component – whether in the form of manufactured goods, resources such as water and energy or services such as in-home care – will also require transport services; and the cost and convenience of those services will need to be appropriate to the value of exchanges in the marketplace. Shutl’s transportation marketplace is in itself an innovation in delivering more convenient, lower cost delivery services to online retail marketplaces. By contrast, community energy schemes, which attempt to create local energy markets that reduce energy usage and maximise consumption of power generated by local, renewable resources, either need some form of smart grid infrastructure, or a commercial vehicle, such as a shared energy performance contract.

Driving forces:

  • The desire of regional authorities and business communities to form supply chains, market ecosystems and trading networks that maximise the creation and retention of economic value within a region; and that improve economic growth and social mobility.
  • The need to improve efficiency in the use of assets and resources; and to minimise externalities such as the excessive transport of goods and services.
  • The increasing availability and reducing cost of enabling technologies providing opportunities for new entrants in existing marketplaces and supply chains.

Benefits:

  • Maximisation of regional integration in supply networks.
  • Retention of value in the local economy.
  • Increased efficiency of resource usage by sharing and reusing goods and services.
  • Enablement of new models of collaborative asset ownership, management and use.
  • The creation of new business models to provide value-add products and services.

Implications and risks:

(West Midlands police patrolling Birmingham’s busy Frankfurt Market in Christmas, 2012. Photo by West Midlands Police)

Marketplaces must be carefully designed to attract a critical mass of participants with an interest in collaborating. It is unlikely, for example, that a group of large food retailers would collaborate in a single marketplace in which to sell their products to citizens of a particular region. The objective of such organisations is to maximise shareholder value by maximising their share of customers’ weekly household budgets. They would have no interest in sharing information about their products alongside their competitors and thus making it easier for customers to pick and choose suppliers for individual products.

Small, specialist food retailers have a stronger incentive to join such marketplaces: by adding to the diversity of produce available in a marketplace of specialist suppliers, they increase the likelihood of shoppers visiting the marketplace rather than a supermarket; and by sharing the cost of marketplace infrastructure – such as payments and delivery services – each benefits from access to a more sophisticated infrastructure than they could afford individually.

Those marketplaces that require transportation or other physical infrastructures will only be viable if they create transactions of high enough value to account for the cost of that infrastructure. Such a challenge can even apply to purely information-based marketplaces: producing high quality, reliable information requires a certain level of technology infrastructure, and marketplaces that are intended to create value through exchanging information must pay for the cost of that infrastructure. This is one of the challenges facing the open data movement.

If the marketplace does not provide sufficient security infrastructure and governance processes to create trust between participants – or if those participants do not believe that the infrastructure and governance are adequate – then transactions will not be carried out.

Some level of competition is inevitable between participants in a marketplace. If that competition is balanced by the benefits of better access to trading partners and supporting services, then the marketplace will succeed; but if competitive pressures outweigh the benefits, it will fail.

Alternatives and variations:

  • Local currencies and alternative trading systems are in many ways similar to online marketplace; and are often a supporting component
  • Some marketplaces are built on similar principles, and certainly achieve “Smart” outcomes, but do not use any technology. The Dhaka Waste Concern waste recycling scheme in Bangladesh, for example, turns waste into a market resource, creating jobs in the process.

Examples and stories:

Sources of information:

I’ve written about digital marketplaces several times on this blog, including the following articles:

Industry experts and consultancies have published work on this topic that is well worth considering:

Seven steps to a Smarter City; and the imperative for taking them (updated 8th September 2013)

(Interior of the new Library of Birmingham, opened in September 2013. Photo by Andy Mabbett)

(Interior of the new Library of Birmingham, opened in September 2013. Photo by Andy Mabbett licensed under Creative Commons via Wikimedia Commons)

(This article originally appeared in September 2012 as “Five steps to a Smarter City: and the philosophical imperative for taking them“. Because it contains an overall framework for approaching Smart City transformations, I keep it updated to reflect the latest content on this blog; and ongoing developments in the industry. It can also be accessed through the page link “Seven steps to a Smarter City” in the navigation bar above).

As I’ve worked with cities over the past two years developing their “Smarter City” strategies and programmes  to deliver them, I’ve frequently written articles on this blog exploring the main challenges they’ve faced: establishing a cross-city consensus to act; securing funding; and finding the common ground between the institutional and organic natures of city ecosystems.

We’ve moved beyond exploration now. There are enough examples of cities making progress on the “Smart” agenda for us to identify  the common traits that lead to success. I first wrote “Five steps to a Smarter City: and the philosophical imperative for taking them” in September 2012 to capture what at the time seemed to be emerging practises with promising potential, and have updated it twice since then. A year later, it’s time for a third and more confident revision.

In the past few months it’s also become clear that an additional step is required to recognise the need for new policy frameworks to enable the emergence of Smarter City characteristics, to complement the direct actions and initiatives that can be taken by city institutions, businesses and communities.

The revised seven steps involved in creating and achieving a Smarter City vision are:

  1. Define what a “Smarter City” means to you (Updated)
  2. Convene a stakeholder group to co-create a specific Smarter City vision; and establish governance and a credible decision-making process (Updated)
  3. Structure your approach to a Smart City by drawing on the available resources and expertise (Updated)
  4. Establish the policy framework (New)
  5. Populate a roadmap that can deliver the vision (Updated)
  6. Put the financing in place (Updated)
  7. Enable communities and engage with informality: how to make “Smarter” a self-sustaining process (Updated)

I’ll close the article with a commentary on a new form of leadership that can be observed at the heart of many of the individual initiatives and city-wide programmes that are making the most progress. Described by Andrew Zolli in “Resilience: why things bounce back” as “translational leadership“, it is characterised by an ability to build unusually broad collaborative networks across the institutions and communities – both formal and informal – of a city.

But I’ll begin with what used to be the ending to this article: why Smarter Cities matter. Unless we’re agreed on the need for them, it’s unlikely we’ll take the steps required to achieve them.

The Smarter City imperative

(Why Smarter Cities matter: "Lives on the Line" by James Cheshire at UCL's Centre for Advanced Spatial Analysis, showing the variation in life expectancy and correlation to child poverty in London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

(Why Smarter Cities matter: “Lives on the Line” by James Cheshire at UCL’s Centre for Advanced Spatial Analysis, showing the variation in life expectancy across London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

I think it’s vitally important to take a pro-active approach to Smarter Cities.

According to the United Nations Department of Economic and Social Affairs’ 2011 revision to their “World Urbanisation Prospects” report, between now and 2050 the world’s population will rise by 2-3 billion. The greatest part of that rise will be accounted for by the growth of Asian, African and South American “megacities” with populations of between 1 and 35 million people.

As a crude generalisation, this unprecedented growth offers four challenges to cities in different circumstances:

  • For rapidly growing cities: we have never before engineered urban infrastructures to support such growth. Whenever we’ve tried to accommodate rapid urban growth before, we’ve failed to provide adequate infrastructure, resulting in slums. One theme within Smarter Cities is therefore the attempt to use technology to respond more successfully to this rapid urbanisation.
  • For cities in developed economies with slower growth: urbanisation in rapidly growing economies is creating an enormous rise in the size of the world’s middle-class, magnifying global growth in demand for resources such as energy, water, food and materials; and creating new competition for economic activity. So a second theme of Smarter Cities that applies in mature economies is to remain vibrant economically and socially in this context, and to improve the distribution of wealth and opportunity, against a background of modest economic growth, ageing populations with increasing service needs, legacy infrastructure and a complex model of governance and operation of city services.
  • For cities in countries that are still developing slowly: increasing levels of wealth and economic growth elsewhere  create an even tougher hurdle than before in creating opportunity and prosperity for the populations of those countries not yet on the path to growth. At the same time that economists and international development organisations attempt to ensure that these nations benefit from their natural resources as they are sought by growing economies elsewhere, a third strand of Smarter Cities is concerned with supporting wider growth in their economies despite a generally low level of infrastructure, including technology infrastructure.
(Photo of Masshouse Circus, Birmingham, a concrete urban expressway that strangled the citycentre before its redevelopment in 2003, by Birmingham City Council)

(Photo of Masshouse Circus, Birmingham, a concrete urban expressway that strangled the citycentre before its redevelopment in 2003, by Birmingham City Council)

We have only been partly successful in meeting these challenges in the past. As public and private sector institutions in Europe and the United States evolved through the previous period of urbanisation driven by the Industrial Revolution they achieved mixed results: standards of living rose dramatically; but so unequally that life expectancy between the richest and poorest areas of a single UK city often varies by 10 to 20 years.

In the sense that city services and businesses will always seek to exploit the technologies available to them, our cities will become smarter eventually as an inevitable consequence of the evolution of technology and growing competition for resources and economic activity.

But if those forces are allowed to drive the evolution of our cities, rather than supporting a direction of evolution that is proactively chosen by city stakeholders, then we will not solve many of the challenges that we care about most: improving the distribution of wealth and opportunity, and creating a better, sustainable quality of life for everyone. As I argued in “Smarter City myths and misconceptions“, “business as usual” will not deliver what we want and need – we need new approaches.

I do not pretend that it will be straightforward to apply our newest tool – digital technology – to achieve those objectives. In “Death, Life and Place in Great Digital Cities“, I explored the potential for unintended consequences when applying technology in cities, and compared them to the ongoing challenge of balancing the impacts and benefits of the previous generations of technology that shaped the cities we live in today – elevators, concrete and the internal combustion engine. Those technologies enabled the last century of growth; but in some cases have created brutal and inhumane urban environments which limit the quality of life that is possible within them.

But there are nevertheless many ways for cities in every circumstance imaginable to benefit from Smarter City ideas, as I described in my presentation earlier this year to the United Nations Commission on Science and Technology for Development, “Science, technology and innovation for sustainable cities and peri-urban communities“.

The first step in doing so is for each city and community to decide what “Smarter Cities “means to them.

Singapore Traffic Prediction

(A prediction of traffic speed and volume 30 minutes into the future in Singapore. In a city with a growing economy and a shortage of space, the use of technology to enable an efficient transportation system has long been a priority)

1. Define what a “Smarter City” means to you

Many urbanists and cities have grappled with how to define what a “Smart City”, a “Smarter City” or a “Future City” might be. It’s important for cities to agree to use an appropriate definition because it sets the scope and focus for what will be a complex collective journey of transformation.

In his article “The Top 10 Smart Cities On The Planet“, Boyd Cohen of Fast Company defined a Smart City as follows:

“Smart cities use information and communication technologies (ICT) to be more intelligent and efficient in the use of resources, resulting in cost and energy savings, improved service delivery and quality of life, and reduced environmental footprint–all supporting innovation and the low-carbon economy.”

IBM describes a Smarter City in similar terms, more specifically stating that the role of technology is to create systems that are “instrumented, interconnected and intelligent.”

Those definitions are useful; but they don’t reflect the different situations of cities everywhere, which are only very crudely described by the four contexts I identified above. We should not be critical of any of the general definitions of Smarter Cities; they are useful in identifying the nature and scope of powerful ideas that could have widespread benefits. But a broad definition will never provide a credible direction for any individual city given the complexities of its challenges, opportunities, context and capabilities.

Additionally, definitions of “Smarter Cities” that are based on relatively advanced technology concepts don’t reflect the origins of the term “Smart” as recognised by the social scientists I met with in July at a workshop at the University of Durham.  The “Smart” idea is more than a decade old, and emerged from the innovative use of relatively basic digital technologies to stimulate economic growth, community vitality and urban renewal.

As I unifying approach, I’ve therefore come recently to conceive of a Smarter City as follows:

A Smarter City systematically creates and encourages innovations in city systems that are enabled by technology; that change the relationships between the creation of economic and social value and the consumption of resources; and that contribute in a coordinated way to achieving a vision and clear objectives that are supported by a consensus amongst city stakeholders.

In co-creating a consensual approach to “Smarter Cities” in any particular place, it’s important to embrace the richness and variety of the field. Many people are very sceptical of the idea of Smarter Cities; often I find that their scepticism arises from the perception that proponents of Smarter Cities are intent on applying the same ideas everywhere, regardless of their suitability, as I described in Smarter City myths and misconceptions” in July.

For example, highly intelligent, multi-modal transport infrastructures are vital in cities such as Singapore, where a rapidly growing economy has created an increased demand for transport; but where there is no space to build new road capacity. But they are much less relevant – at least in the short term – for cities such as Sunderland where the priority is to provide better access to digital technology to encourage the formation and growth of new businesses in high-value sectors of the economy. Every city, individual or organisation that I know of that is successfully pursuing a Smarter City initiative or strategy recognises and engages with that diversity,

Creating a specific Smarter City vision is therefore a task for each city to undertake for itself, taking into account its unique character, strengths and priorities. This process usually entails a collaborative act of creativity by city stakeholders – I’ll explore how that takes place in the next section.

To conclude, it’s likely that the following generic objectives should be considered and adapted in that process:

  • A Smarter City is in a position to make a success of the present: for example, it is economically active in high-value industry sectors and able to provide the workforce and infrastructure that companies in those sectors need.
  • A Smarter City is on course for a successful future: with an education system that provides the skills that will be needed by future industries as technology evolves.
  • A Smarter City creates sustainable, equitably distributed growth: where education and employment opportunities are widely available to all citizens and communities, and with a focus on delivering social and environmental outcomes as well as economic growth.
  • A Smarter City operates as efficiently & intelligently as possible: so that resources such as energy, transportation systems and water are used optimally, providing a low-cost, low-carbon basis for economic and social growth, and an attractive, healthy environment in which to live and work.
  • A Smarter City enables citizens, communities, entrepreneurs & businesses to do their best; because making infrastructures Smarter is an engineering challenge; but making cities Smarter is a societal challenge; and those best placed to understand how societies can change are those who can innovate within them.
  • A Smarter City harnesses technology effectively and makes it accessible; because technology continues to define the new infrastructures that are required to achieve efficiencies in operation; and to enable economic and social growth.

2. Convene a stakeholder group to co-create a specific Smarter City vision

For a city to agree a shared “Smarter City” vision involves bringing an unusual set of stakeholders together in a single forum: political leaders, community leaders, major employers, transport and utility providers, entrepreneurs and SMEs, universities and faith groups, for example. The task for these stakeholders is to agree a vision that is compelling, inclusive; and specific enough to drive the creation of a roadmap of individual projects and initiatives to move the city forward.

It’s crucial that this vision is co-created by a group of stakeholders; as a city leader commented to me last year: “One party can’t bring the vision to the table and expect everyone else to buy into it”.

This is a process that I’m proud to be taking part in in Birmingham through the City’s Smart City Commission, whose vision for the city was published in December. I discussed how such processes can work, and some of the challenges and activities involved, in July 2012 in an article entitled “How Smarter Cities Get Started“.

To be sufficiently creative, empowered and inclusive, the group of stakeholders needs to encompass not only the leaders of key city institutions and representatives of its breadth of communities; it needs to contain original thinkers; social entrepreneurs and agents of change. As someone commented to me recently following a successful meeting of such a group: “this isn’t a ‘usual’ group of people”. In a similar meeting this week, a colleague likened the process of assembling such a group to that of building the Board of a new company.

To attract the various forms of investment that are required to support a programme of “Smart” initiatives, these stakeholder groups need to be decision-making entities, such as Manchester’s “New Economy” Commission, not discussion forums.  They need to take investment decisions together in the interest of shared objectives; and they need a mature understanding and agreement of how risk is shared and managed across those investments.

Whatever specific form a local partnership takes, it needs to demonstrate transparency and consistency in its decision-making and risk management, in order that its initiatives and proposals are attractive to investors. These characteristics are straightforward in themselves; but take time to establish amongst a new group of stakeholders taking a new, collaborative approach to the management of a programme of transformation.

Finally, to create and execute a vision that can succeed, the group needs to tell stories. A Smarter City encompasses all of a city’s systems, communities and businesses; the leaders in that ecosystem can only act with the support of their shareholders, voters, citizens, employees and neighbours. We will only appeal to such a broad constituency by telling simple stories that everyone can understand. I discussed some of the reasons that lead to this in “Better stories for Smarter Cities: three trends in urbanism that will reshape our world” in January and “Little/big; producer/consumer; and the story of the Smarter City” in March. Both articles cover similar ground; and were written as I prepared for my TEDxWarwick presentation, “Better Stories for Smarter Cities”, also in March.

The article “Smart ideas for everyday cities” from December 2012 discusses all of these challenges, and examples of groups that have addressed them, in more detail.

3. Structure your approach to a Smart City by drawing on the available resources and expertise

Any holistic approach to a Smarter City needs to recognise the immensely complex context that a city represents: a rich “system of systems” comprising the physical environment, economy, transport and utility systems, communities, education and many other services, systems and human activities.

(The components of a Smart City architecture I described in “The new architecture of Smart Cities“)

In “The new architecture of Smart Cities” in September 2012 I laid out a framework  for thinking about that context; in particular highlighting the need to focus on the “soft infrastructure” of conversations, trust, relationships and engagement between people, communities, enterprises and institutions that is fundamental to establishing a consensual view of the future of a city.

In that article  I also asserted that whilst in Smarter Cities we are often concerned with the application of technology to city systems, the context in which we do so – i.e. our understanding of the city as a whole – is the same context as that in which other urban professionals operate: architects, town planners and policy-makers, for example. An implication is that when looking for expertise to inform an approach to “Smarter Cities”, we should look broadly across the field of urbanism, and not restrict ourselves to that material which pertains specifically to the application of technology to cities.

Formal sources include:

  • UN-HABITAT, the United Nations agency for human settlements, which recently published its “State of the World’s Cities 2012/2013” report. UNHABITAT promote socially and environmentally sustainable towns and cities, and their reports and statistics on urbanisation are frequently cited as authoritative. Their 2012/2013 report includes extensive consultation with cities around the world, and proposes a number of new mechanisms intended to assist decision-makers.
  • The Academy of Urbanism, a UK-based not-for-profit association of several hundred urbanists including policy-makers, architects, planners and academics, publishes the “Friebrug Charter for Sustainable Urbanism” in collaboration with the city of Frieburg, Germany. Frieburg won the Academy’s European City of the Year award in 2010 but its history of recognition as a sustainable city goes back further. The charter contains a number of useful principles and ideas for achieving consensual sustainability that can be applied to Smarter Cities.
  • The UK Technology Strategy Board’s “Future Cities” programme (link requires registration) and the ongoing EU investments in Smart Cities are both investing in initiatives that transfer Smarter City ideas and technology from research into practise, and disseminating the knowledge created in doing so.

(Photo by lecercle of a girl in Mumbai doing her homework on whatever flat surface she could find. Her use of a stationary tool usually employed for physical mobility to enhance her own social mobility is an example of the very basic capacity we all have to use the resources available to us in innovative ways)

It is also important to consider how change is achieved in systems as complex as cities. In “Do we need a Pattern Language for Smarter Cities” I noted some of the challenges involve in driving top-down programmes of change; and contrasted them to what can happen when an environment is created that encourages innovation and attempts to influence it to achieve desired outcomes, rather than to adopt particular approaches to doing so. And in “Zen and the art of messy urbanism” I explored the importance of unplanned, informal and highly creative “grass-roots” activity in creating growth in cities, particularly where resources and finances are constrained.

Some very interesting such approaches have emerged from thinking in policy, economics, planning and architecture: the Collective Research Initiatives Trust‘s study of Mumbai, “Being Nicely Messy“; Colin Rowe and Fred Koetter’s “Collage City“; Manu Fernandez’s “Human Scale Cities” project; and the “Massive / Small” concept and associated “Urban Operating System” from Kelvin Campbell and Urban Initiatives, for example have all suggested an approach that involves a “toolkit” of ideas for individuals and organisations to apply in their local context.

The “tools” in such toolkits are similar to the “design patterns“ invented by the town planner Christopher Alexander in the 1970s as a tool for capturing re-usable experience in town planning, and later adopted by the Software industry. I believe they offer a useful way to organise our knowledge of successful approaches to “Smarter Cities”, and am slowly creating a catalogue of them, including the “City information partnership” and “City-centre enterprise incubation“.

A good balance between the top-down and bottom-up approaches can be found in the large number of “Smart Cities” and “Future Cities” communities on the web, such as UBM’s “Future Cities” site; Next City; the Sustainable Cities Collective; the World Cities Network; and Linked-In discussion Groups including “Smart Cities and City 2.0“, “Smarter Cities” and “Smart Urbanism“.

Finally, I published an extensive article on this blog in December 2012 which provided a framework for identifying the technology components required to support Smart City initiatives of different kinds – “Pens, paper and conversations. And the other technologies that will make cities smarter“.

4. Establish the policy framework

The influential urbanist Jane Jacobs wrote in her seminal 1961 work ”The Death and Life of Great American Cities“:

“Private investment shapes cities, but social ideas (and laws) shape private investment. First comes the image of what we want, then the machinery is adapted to turn out that image. The financial machinery has been adjusted to create anti-city images because, and only because, we as a society thought this would be good for us. If and when we think that lively, diversified city, capable of continual, close- grained improvement and change, is desirable, then we will adjust the financial machinery to get that.”

Jacobs’ was concerned with redressing the focus of urban design away from vehicle traffic and back to meeting the daily requirements of human lives; but today, it is similarly true that our planning and procurement practises do not recognise the value of the Smart City vision, and therefore are not shaping the financial instruments to deliver it. This is not because those practises are at fault; it is because technologists, urbanists, architects, procurement officers, policy-makers and planners need to work together to evolve those practises to take account of the new possibilities available to cities through technology.

It’s vitally important that we do this. As I described in November 2012 in “No-one is going to pay cities to become Smarter“, the sources of research and innovation funding that are supprting the first examples of Smarter City initiatives will not finance the widespread transformation of cities everywhere. But there’s no need for them to: the British Property Federation, for example, estimate that £14 billion is invested in the development of new space in the UK each year – that’s 500 times the annual value of the UK Government’s Urban Broadband Fund. If planning regulations and other policies can be adapted to promote investment in the technology infrastructures that support Smarter Cities, the effect could be enormous.

I ran a workshop titled “Can digital technology help us build better cities?” to explore these themes in May at the annual Congress of the Academy of Urbanism in Bradford; and have been exploring them with a number of city Councils and institutions such as the British Standards Institute throughout the year. In June I summarised the ideas that emerged from that work in the article “How to build a Smarter City: 23 design principles for digital urbanism“.

Two of the key issues to address are open data and digital privacy.

As I explored in “Open urbanism:  why the information economy will lead to sustainable cities” in December 2012, open data is a vital resource for creating successful, sustainable, equitable cities. But there are thousands of datasets relevant to any individual city; owned by a variety of public and private sector institutions; and held in an enormous number of fragmented IT systems of varying ages and designs. Creating high quality, consistent, reliable data in this context is a “Brownfield regeneration challenge for the information age”, as I described in October 2012. Planning and procurement regulations that require city information to be made openly available will be an important tool in creating the investment required to overcome that challenge.

(The image on the right was re-created from an MRI scan of the brain activity of a subject watching the film shown in the image on the left. By Shinji Nishimoto, Alex G. Huth, An Vu and Jack L. Gallant, UC Berkley, 2011)

(The image on the right was re-created from an MRI scan of the brain activity of a subject watching the film shown in the image on the left. By Shinji Nishimoto, Alex G. Huth, An Vu and Jack L. Gallant, UC Berkley, 2011)

Digital privacy matters to Smarter Cities in part because technology is becoming ever more fundamental to our lives as more and more of our business is transacted online through e-commerce and online banking. Additionally, the boundary between technology, information and the physical world is increasingly disappearing – as shown recently by the scientists who demonstrated that one person’s thoughts could control another’s actions, using technology, not magic or extrasensory phenomena. That means that our physical safety and digital privacy are increasingly linked – the emergence this year of working guns 3D-printed from digital designs is one of the most striking examples. 

Jane Jacobs defined cities by their ability to provide privacy and safety amongst their citizens; and her thinking is still regarded by many urbanists as the basis of our understanding of cities. As digital technology becomes more pervasive in city systems, it is vital that we evolve the policies that govern digital privacy to ensure that those systems continue to support our lives, communities and businesses successfully.

5. Populate a roadmap that can deliver the vision

In order to fulfill a vision for a Smarter City, a roadmap of specific projects and initiatives is needed, including both early “quick wins” and longer term strategic programmes.

Those projects and initiatives take many forms; and it can be worthwhile to concentrate initial effort on those that are simplest to execute because they are within the remit of a single organisation; or because they build on cross-organisational initiatives within cities that are already underway.

In my August 2012 article “Five roads to a Smarter City” I gave some ideas of what those initiatives might be, and the factors affecting their viability and timing, including:

  1. Top-down, strategic transformations across city systems;
  2. Optimisation of individual infrastructures such as energy, water and transportation;
  3. Applying “Smarter” approaches to “micro-city” environments such as industrial parks, transport hubs, university campuses or leisure complexes;
  4. Exploiting the technology platforms emerging from the cost-driven transformation to shared services in public sector;
  5. Supporting the “Open Data” movement.

In “Pens, paper and conversations. And the other technologies that will make cities smarter” in December 2012, I described a framework for identifying the technology components required to support Smart City initiatives of different kinds, such as:

  1. Re-engineering the physical components of city systems (to improve their efficiency)
  2. Using information  to optimise the operation of city systems
  3. Co-ordinating the behaviour of multiple systems to contribute to city-wide outcomes
  4. Creating new marketplaces to encourage sustainable choices, and attract investment

The Smarter City design patterns I described in the previous section also provide potential ideas, including City information partnerships and City-centre enterprise incubation; I’m hoping shortly to add new patterns such as Community Energy Initiatives, Social Enterprises, Local Currencies and Information-Enabled Resource Marketplaces.

It is also worthwhile to engage with service and technology providers in the Smart City space; they have knowledge of projects and initiatives with which they have been involved elsewhere. Many are also seeking suitable locations in which to invest in pilot schemes to develop or prove new offerings which, if successful, can generate follow-on sales elsewhere. The “First of a Kind” programme in IBM’s Research division is one example or a formal programme that is operated for this purpose.

A roadmap consisting of several such individual activities within the context of a set of cross-city goals, and co-ordinated by a forum of cross-city stakeholders, can form a powerful programme for making cities Smarter.

(Photo of the Brixton Pound by Charlie Waterhouse)

6. Put the financing in place

A crucial factor in assessing the viability of those activities, and then executing them, is putting in place the required financing. In many cases, that will involve cities approaching investors or funding agencies. In “Smart ideas for everyday cities” in December 2012 I described some of the organisations from whom funds could be secured; and some of the characteristics they are looking for when considering which cities and initiatives to invest in.

But for cities to seek direct funding for Smarter Cities is only one approach; I compared it to four other approaches in “Gain and responsibility: five business models for sustainable cities” in August:

  1. Cross-city Collaborations
  2. Scaling-up Social Enterprise
  3. Creativity in finance
  4. Making traditional business sustainable
  5. Encouraging entrepreneurs everywhere

The role of traditional business is of particular importance. Billions of us depend for our basic needs – not to mention our entertainment and leisure – on global supply chains operated on astounding scales by private sector businesses. Staples such as food, cosmetics and cleaning products consume a vast proportion of the world’s fresh water and agricultural capacity; and a surprisingly small number of organisations are responsible for a surprisingly large proportion of that consumption as they produce the products and services that many of us use. We will only achieve smarter, sustainable cities, and a smarter, sustainable world, in collaboration with them. The CEOs of  Unilever and Tesco have made statements of intent along these lines recently, and IBM and Hilton Hotels are two businesses that have described the progress they have already made.

There are very many individual ways in which funds can be secured for Smart City initiatives, of course; I described some more in “No-one is going to pay cities to become Smarter” in November 2012, and several others in two articles in September 2012:

In “Ten ways to pay for a Smarter City (part one)“:

And in “Ten ways to pay for a Smarter City (part two):

I’m a technologist, not a financier or economist; so those articles are not intended to be exhaustive or definitive. But they do suggest a number of practical options that can be explored.

(The discussion group at #SmartHack in Birmingham, described in “Tea, trust and hacking – how Birmingham is getting Smarter“, photographed by Sebastian Lenton)

 

7. Think beyond the future and engage with informality: how to make “Smarter” a self-sustaining process

Once a city has become “Smart”, is that the end of the story?

I don’t think so. The really Smart city is one that has put in place soft and hard infrastructures that can be used in a continuous process of reinvention and creativity.

In the same way that a well designed urban highway should connect rather than divide the city communities it passes through, the new technology platforms put in place to support Smarter City initiatives should be made open to communities and entrepreneurs to constantly innovate in their own local context. As I explored in “Smarter city myths and misconceptions” this idea should really be at the heart of our understanding of Smarter Cities.

I’ve explored those themes frequently in articles on this blog; including the two articles that led to my TEDxWarwick presentation, “Better stories for Smarter Cities: three trends in urbanism that will reshape our world” and “Little/big; producer/consumer; and the story of the Smarter City“. Both of them explored the importance of large city institutions engaging with and empowering the small-scale hyperlocal innovation that occurs in cities and communities everywhere; and that is often the most efficient way of creating social and economic value.

I described that process along with some examples of it in “The amazing heart of a Smarter City: the innovation boundary” in August 2012. In October 2012, I described some of the ways in which Birmingham’s communities are exploring that boundary in “Tea, trust and hacking: how Birmingham is getting smarter“; and in November I emphasised in “Zen and the art of messy urbanism” the importance of recognising the organic, informal nature of some of the innovation and activity within cities that creates value.

The Physicist Geoffrey West is one of many scientists who has explored the roles of technology and population growth in speeding up city systems; as our world changes more and more quickly, our cities will need to become more agile and adaptable – technologists, town planners and economists all seem to agree on this point. In “Refactoring, nucleation and incubation: three tools for digital urban adaptability” I explored how ideas from all of those professions can help them to do so.

Smarter, agile cities will enable the ongoing creation of new products, services or even marketplaces that enable city residents and visitors to make choices every day that reinforce local values and synergies. I described some of the ways in which technology could enable those markets to be designed to encourage transactions that support local outcomes in “Open urbanism: why the information economy will lead to sustainable cities” in October 2012 and “From Christmas lights to bio-energy: how technology will change our sense of place” in August 2012. The money-flows within those markets can be used as the basis of financing their infrastructure, as I discussed in “Digital Platforms for Smarter City Market-Making” in June 2012 and in several other articles described in “5. Put the financing in place” above.

Commentary: a new form of leadership

Andrew Zolli’s book “Resilience: why things bounce back” contains many examples of “smart” initiatives that have transformed systems such as emergency response, agriculture, fishing, finance and gang culture, most, but not all, of which are enabled by technology.

A common theme from all of them is productive co-operation and co-creation between large formal organisations (such as businesses and public sector institutions) and informal community groups or individuals (examples in Resilience include subsistence farmers, civic activitists and pacific island fishermen). Jared Diamond made similar observations about successful examples of socially and environmentally sustainable resource extraction businesses, such as Chevron’s sustainable operations in the Kutubu oilfield in Papua New Guinea, in his book “Collapse“.

Zolli identified a particular style of individual behaviour that was crucial in bringing about these collaborations that he called “translational leadership“: the ability to build new bridges; to bring together the resources of local communities and national and international institutions; to harness technology at appropriate cost for collective benefit; to step in and out of institutional and community behaviour and adapt to different cultures, conversations and approaches to business; and to create business models that balance financial health and sustainability with social and environmental outcomes.

That’s precisely the behaviour and leadership that I see in successful Smarter Cities initiatives. It’s sometimes shown by the leaders of public authorities, Universities or private businesses; but it’s equally often shown by community activists or entrepreneurs.

For me, this is one of the most exciting and optimistic insights about Smarter Cities: the leaders who catalyse their emergence can come from anywhere. And any one of us can choose to take a first step in the city where we live.

How to build a Smarter City: 23 design principles for digital urbanism

(Bradford’s City Park, winner of the Academy of Urbanism’s “Great Place” award for 2013. The park is a public space that has been reclaimed for city life from traffic, and which evolves from a daytime public square into an evening water-feature. The fountains and lighting can adapt to and follow individual or crowd movements. Photo by Chloe Blanchfield. )

At the same time that cities everywhere are seeking funds for Smarter City initiatives, and often relying on central government or research grants to do so, I know of literally billions of Pounds, Euros, and Dollars that are being spent on relatively conventional development and infrastructure projects that aren’t particularly “smart”.

Why is that?

One reason is that we have yet to turn our experience to date into prescriptive, re-usable guidance. Many examples of “Smarter City” projects have demonstrated that in principle technologies such as social media, information marketplaces and the “internet of things” can support city-level objectives such as wellbeing, social mobility, economic growth and infrastructure resilience. But these individual results do not yet constitute a normalised evidence base to indicate which approaches apply in which situations, and to predict in quantitative terms what the outcomes will be.

And whilst a handful of cities such as Portland and Dublin have implemented information platforms on which sophisticated research can be carried out to predict the effect that technology and other interventions will have on a specific city, elsewhere we are in the early stages of considering the strategic role that technology should play in the overall design, planning and governance of cities.

We have been in this position before. In her seminal 1961 work “The Death and Life of Great American Cities“, Jane Jacobs wrote of the extant planning regime that in her opinion was impeding, or even destroying, the growth of healthy, urban cities in favour of a misguided faith in the suburban “Garden City” vision and its derivatives:

“Private investment shapes cities, but social ideas (and laws) shape private investment. First comes the image of what we want, then the machinery is adapted to turn out that image. The financial machinery has been adjusted to create anti-city images because, and only because, we as a society thought this would be good for us. If and when we think that lively, diversified city, capable of continual, close- grained improvement and change, is desirable, then we will adjust the financial machinery to get that.”

(The White Horse Tavern in Greenwich Village, New York. The rich urban life of the area was described by one of the Taverns’ many famous patrons, the urbanist Jane Jacobs. Photo by Steve Minor).

Similarly, today’s planning and procurement practises do not explicitly recognise the value of the Smart City vision, and therefore are not shaping the financial instruments to deliver it.

This is not because those practises are at fault; it is because technologists, urbanists, architects, procurement officers, policy-makers and planners need to work together to evolve those practises to take account of the new possibilities available to cities through technology.

I was recently asked by a city that I work closely with to contribute suggestions for how their next planning strategy could reflect the impact of the technology agenda. Drawing on experiences and conversations with cities, Universities, government bodies and professional organisations over the last year, including the “Digital Urbanism” workshop help at the Academy of Urbanism Congress 2013 in Bradford, UK on 16th May, I put together a set of intentionally provocative candidate “design principles” for them to consider.

I’ve reproduced those principles in this article. They will not be universally accepted, and it is not possible yet to provide a mature body of evidence to support them. Whilst some will seem obvious, some may be controversial – or simply naive. Many will change or be discarded in time; some will be found to be misguided or unworkable. Because the outcomes we are seeking are often qualitative – “vibrant communities”, for example – and because research into city systems and the work of standards bodies is still ongoing, many of them are aspirational and subjective. But by presenting active principles rather than passive observations, my hope is to stimulate a useful debate.

A final caveat: my profession is technology, not the architecture of buildings and structures, urban design or town-planning. I therefore lack the depth of background in urban thinking that will be shared by many of those who I hope to engage in this debate; and as a consequence, some of this material may duplicate well-established thinking; be unsophisticated in content or expression; or just plain wrong. I hope that you will forgive and accept the attempts of a passionate newcomer to contribute thinking from a new domain into one that is well established; and help me to improve on this first attempt.

Candidate Design Principles for Digital Urbanism

(Tina Saaby, Copenhagen's City Architect, addressing the Academy of Urbanism Congress in Bradford)

(Tina Saaby, Copenhagen’s City Architect, addressing the Academy of Urbanism Congress in Bradford)

The importance of “place” in town planning and urban design has come to encapsulate experience from a variety of domains about what makes urban environments successful from the perspective of the people, businesses and communities who use them. It was summarised by Copenhagen’s City Architect, Tina Saaby, in her address to the Academy of Urbanism Congress 2013 as “Consider urban life before urban space; consider urban space before buildings”.

In identifying “urban life” as the starting point, I think Tina was reminding us to begin always by considering the needs and behaviour of individual people, and then their interactions with each other. This was the basis of Jane Jacobs’ understanding of cities and systems such as their economies and governments; and more recently it has been used by Professor Geoffrey West of the Sante Fe Institute to perform detailed, quantitative analyses of the performance of city systems.

It’s equally important to use urban life and “place” as our starting points when guiding the application of technology in city systems, and so by analogy, a candidate principle for the digital agenda in cities could be:

Principle 1: Consider urban life before urban place; consider urban place before technology.

Recent scientific work has shown that the rate of change is increasing in modern society – and specifically in cities as they grow. For example, Geoffrey West’s work shows that larger cities create more wealth, more efficiently, than smaller cities. In doing so, they attract residents, grow bigger still, and accelerate wealth creation further. This self-reinforcing process results in an ever-increasing demand for resources. It powered the growth of cities in the developed world through the Industrial Revolution; it is powering the growth of cities in emerging markets today; and it is driving the overall growth in global population. Professor Ian Robertson of Trinity College Dublin has even shown that as cities get bigger, people in them walk faster.

So in the many cities which are growing both organically and by continuing to attract immigration, two further candidate principles could be:

Principle 2: Demonstrate sustainability, scalability and resilience over an extended timeframe.

Principle 3: Demonstrate flexibility over an extended timeframe.

Physical Infrastructures and Construction

A difficulty in most existing buildings is to adapt them to support new technology infrastructures – to update wiring, or to add cabling for new network technologies, for example. Any specific prediction concerning our needs for such infrastructures in the future will likely be wrong; but it is certain that those needs will be different from today; and so:

Principle 4: New or renovated buildings should be built to contain sufficient space for current and anticipated future needs for technology infrastructure such as broadband cables; and of materials and structures that do not impede wireless networks. Spaces for the support of fixed cabling and other infrastructures should be easily accessible in order to facilitate future changes in use.

Furthermore, broader trends that are influenced by technology – such as mobile working, collaborative working spaces, pop-up shops and the demise of some traditional retail enterprises – are evidence that the rate of change in the uses to which we want to put buildings and urban spaces is increasing. This leads to another candidate principle:

Principle 5: New or renovated buildings should be constructed so as to be as functionally flexible as possible, especially in respect to their access, infrastructure and the configuration of interior space; in order to facilitate future changes in use.

Connectivity and Information Accessibility

Sources as respected as McKinsey and Imperial College have asserted that we are entering an age in which economic value will be created through the use of the digital information that is increasingly ubiquitous not just in our online activities but in the systems that operate physical services such as transport, utilities and buildings.

A fundamental requirement to participate in the information economy is to be connected to digital networks, leading to candidate design principle six:

Principle 6: Any development should ensure wired and wireless connectivity is available throughout it, to the highest standards of current bandwidth, and with the capacity to expand to any foreseeable growth in that standard.

(An analysis based on GPS data from mobile phones of end-to-end journeys undertaken by users of Abidjan’s bus services. By comparing existing bus routes to end-to-end journey requirements, the analysis identified four new bus routes and led to changes in many others. As a result, 22 routes now show increased ridership, and city-wide journey times have decreased by 10%.)

Organisations of all types and sizes are competing for the new markets and opportunities that digital information creates – that is simply the natural consequence of the emergence of a new resource in a competitive economy. Much of that information results from data created by the actions and activities of all of us as individuals; so we are the ultimate stakeholders in the information economy, and should seek to establish an equitable consensus for how our data is used.

However, in most cases converting the data that is created by our actions into useful information with a business value requires either a computing infrastructure to process the data or human expertise to assess it. Both of those have a cost associated with them that must be borne by some individual or organisation.

Those forces of the information economy may only ever be resolved in specific contexts rather than in universal principle. But any new development or supporting technology system that adds to the cost of allowing data associated with it to be openly exploited in principle adds a potential impediment to future economic and social productivity. So, even if the means to bear the costs associated with providing useful information are not agreed initially:

Principle 7: Any new development should demonstrate that all reasonable steps have been taken to ensure that information from its technology systems can be made openly available without additional expenditure. Whether or not information is actually available will be dependent on commercial and legal agreement, but it should not be additionally subject to unreasonable expenditure. And where there is no compelling commercial or legal reason to keep data closed, it should actually be made open.

A central tenet of the Smarter Cities movement is to create value by integrating systems. The integration of technology systems is made simpler and less expensive when those systems conform to standards for the format, meaning, encoding and interchange of data. However, standards for interoperability for Smarter City systems are in the early stages of development, including contributions from initiatives such as the British Standards Institute’s Smarter Cities Strategy, the City Protocol Society, and IBM’s SCRIBE Research project into city information models. Candidate principle eight therefore states that:

Principle 8: The information systems of any new development should conform to the best available current standards for interoperability between IT systems in general; and for interoperability in the built environment, physical infrastructures and Smarter Cities specifically.

There is much debate as to whether, beyond basic network connectivity, higher-level digital services should form part of a national or civic infrastructure to support businesses and communities in creating growth through digital technologies. The EU “Future Internet” project FI-WARE and Imperial College’s “Digital Cities Exchange” research programme are both investigating the specific digital services that could be provided as enabling infrastructure to support this growth; and the British Standards Institute is exploring related standards to encourage growth amongst SMEs.

A further candidate principle expresses the potential importance of this research to the economic competitiveness of cities in the information economy:

Principle 9: New developments should demonstrate that they have considered the commercial viability of providing the digital civic infrastructure services recommended by credible research sources.

Sustainable Consumerism

(Graphic of energy use in Amsterdam from "Smart City Amsterdam" by Daan Velthauzs)

(Graphic of energy use in Amsterdam from “Smart City Amsterdam” by Daan Velthauzs)

The price of energy is expected to rise in the long term until new energy sources are scalably commercialised; and the UK specifically is expected to experience power shortfalls by 2015. Many urban areas are already short of power, limited simply by the capacity of existing delivery subsystems.

Overall it is clear that it is economically and environmentally sensible to reduce our use of energy. One way to do so is to make better use of the information from city systems and buildings that describe energy usage. Property developers in Amsterdam used such information to lower the cost of energy infrastructure for new developments by collaborating to create an investment case for smart grid infrastructure.

Candidate principle ten is therefore:

Principle 10: Any data concerning a new development that could be used to reduce energy consumption within that development, or in related areas of a city, should be made open.

As consumer awareness of energy costs and sustainability has increased, developers of residential communities that have provided state-of-the-art technologies for sustainable living have reported strong demand, leading to a further candidate principle:

Principle 11: Property development proposals should indicate how they will attract business and residential tenants through providing up-to-date sustainable infrastructures for heat and power such as CHP, smart metering, local energy grids and solar energy.

Urban Communities

Developments carried out according to plans developed in collaboration with existing residents have provided some of the most interesting examples of successful placemaking. Social media, virtual reality and other digital technologies offer the opportunity to enable richer, more widespread consultations and explorations of planned developments by the communities that they will effect. Candidate principles twelve and thirteen express the possibility for these technologies to contribute to placemaking and successful urban developments:

Principle 12: Consultations on plans for new developments should fully exploit the capabilities of social media, virtual worlds and other technologies to ensure that communities affected by them are given the widest, most immersive opportunity possible to contribute to their design.

Principle 13: Management companies, local authorities and developers should have a genuinely engaging presence in social media so that they are approachable informally.

(Photograph by Meshed Media of Birmingham’s Social Media Cafe, where individuals from every part of the city who have connected online meet face-to-face to discuss their shared interest in social media.)

City communities are not passive observers to the Smarter City phenomenon. They may be crowd-sourcing mapping information for OpenStreetMap; running or participating in hacking events such as the Government Open Hackday in Birmingham last year; or they may be creating new social enterprises or regional technology startups, such as the many city currencies and trading schemes that are appearing.

But access to and familiarity with social media is far from ubiquitous; the potential for new communities to adopt and benefit from such technology is enormous, and need not be expensive. Informal programmes to spread awareness and provide education, such as the social media surgeries started by Podnosh in Birmingham, can have a powerful effect helping communities to exploit social technology to uncover hidden synergies and connections.

Principle 14: Local authorities should support awareness and enablement programmes for social media and related technologies, particularly “grass roots” initiatives within local communities.

Local food initiatives – in which local food processing is more important than local food growing in cities with limited open space but plentiful manufacturing space – have the potential to strengthen community ties; provide employment opportunities; promote healthier diets; and reduce the carbon impact of food supply systems. They can be supported by measures such as the provision of generous gardens, allotments or public space in the physical environment; and by the use of technology to enable online food markets or related distribution systems.

Such initiatives are generally operated by private sector organisations – often small-scale entrepreneurial or social enterprises; but their formation may be facilitated by local authorities or developers during the course of development or regeneration programmes. Candidate principle fifteen is therefore:

Principle 15: Urban development and regeneration programmes should support the formation, activity and success of local food initiatives by cooperating with local community and business support programmes to support the infrastructures they need to succeed and grow.

Demographic and economic trends indicate that we are living longer and needing to support ourselves later in life. A variety of technologies can provide or contribute to that support:

Principle 16: Residential accommodation should incorporate space for environmental monitoring, interactive portals, and connectivity to enable remote support, telehealth systems and homeworking.

Economic Development and Vitality

(The Custard Factory in Birmingham, at the heart of the city’s creative media sector)

In his address to the Academy of Urbanism Congress, economist Michael Ward, Chair of the Centre for Local Economic Strategies, asserted that:

“The key task facing civic leaders in the 21st Century is this: how, in a period of profound and continuing economic changes, will our citizens earn a living and prosper?”

For cities to provide jobs, they need successful businesses; and technology will have a dramatic effect on what it means to be a successful business in the 21st Century.

Over the last two decades, the internet, mobile phone and social media have redefined the boundaries of the communications, technology, media, publishing and technology industries. The companies that thrived through those changes were those who best understood how to use technology to merge capabilities from across those industries into new business models. In the coming decade as digitisation extends to industries such as manufacturing through technologies such as 3D printing and smart materials, more and more industry sectors will be redefined by similar levels of disruption and convergence.

So how are the economies of our cities placed to be successful in that world of change?

Many have the mix of technology, creative and industrial capabilities to be successful in future economies in principle; but in practise those capabilities are in separate geographical locations, between which it is difficult for serendipitous interactions to create new innovations – I discussed these issues in the context of Birmingham, my home city, in an article a few weeks ago.

Spatial modelling techniques can predict the impact of planned developments on these characteristics of the cities surrounding them – i.e. whether they will improve or worsen connectivity between value-creating districts in different economic sectors. Candidate principles seventeen and eighteen express how these techniques could be used:

Principle 17: New developments should demonstrate through the use of the latest urban modelling techniques that they will increase connectivity – particularly by walking and cycling – between important value-creating districts and economic priority zones that are adjacent or near to them.

Principle 18: Developments should offer the opportunity of serendipitous interaction and innovation between stakeholders from different occupations.

The nature of work, business and employment in many industries is changing, driven by technology. Whilst these changes may not take place at the same speed in all businesses, in all industries, in all places; it will become increasingly important over time that cities and districts provide the facilities that future enterprises will require:

Principle 19: Developments should provide, or should be adaptable to provide, facilities to enable the location and success of future ways of working including remote and mobile working, “fab labs” (3d printing facilities), “pop-up”  establishments and collaborative working spaces.

Governance

Most urban spaces and developments do not succeed immediately; time is required for them to attract and adapt to the uses that they will eventually successfully support. That condition of success will be more rapidly achieved or new developments, and will be sustained for longer, if it is possible to easily adapt them. Such adaptability is particularly important given the speed of change and innovation that digital technology can enable, leading to candidate principle twenty:

Principle 20: Planning, usage and other policies governing the use of urban space and structures should facilitate innovation and changes of use, including temporary changes of use.

Privacy and Public Safety

Privacy and security are perhaps the greatest current challenges of the digital age; but that is simply a reflection of their importance in all aspects of our lives. Jane Jacobs’ description of urban systems in terms of human and community behaviour was based on those concepts, and is still regarded as the basis of our understanding of cities.

But new technologies are changing the relationship between physical and digital environments with the consequence that a failure in privacy or security digital systems could affect community vitality or public safety in cities. So candidate principle twenty-one is:

Principle 21: Any information system in a city development should provide a clear policy for the use of personal information. Any use of that information should be with the consent of the individual.

Transport

(Packages from Amazon delivered to Google’s San Francisco office. Photo by moppet65535)

There is a truth about social media, information marketplaces and related “Smarter City” technologies that is far too rarely explored, but that has serious implications. It is that rather than removing the need to travel and transport things, these technologies can dramatically increase our requirements to do so. Candidate principle twenty-two expresses the need for transport plans to take account of this potential:

Principle 22: Transport plans supporting new developments should demonstrate that they have not only provided for traditional transport demand, but also that which might be created by online business models and other social technologies.

Extensions

This article is an early attempt to express candidate design principles for Smarter Cities; and I have not attempted to systematically address all of the potential domains of city systems where technology may have a role to play. Such an exercise would undoubtably yield further candidate principles. In addition, many other efforts are underway to encode emerging knowledge about the successful use of technology in city systems through organisations such as the City Protocol Society and the British Standards Institute or research programmes such as Imperial College’s Digital Cities Exchange. And so a final candidate principle encourages continuous awareness of the progress of such initiatives:

Principle 23: New developments should demonstrate that their design takes account of the latest best and emerging practises and patterns from Smarter Cities, smart urbanism, digital urbanism and placemaking.

Conclusion

When I first began to extract candidate design principles from my workshop and meeting notes, I doubted whether I would identify more than a handful; I was certainly not expecting to identify more than twenty. I think that it is encouraging to observe that there is so much that can be stated positively about the potential of technology to create value in cities.

My sense, though, is that an overarching set of five to ten principles would be much more useful in defining an approach to Smarter Cities that could be broadly adopted. In order to identify what those principles should be, I will need to more clearly define their audience and purpose. Such an exercise will probably form the basis of a subsequent article for this blog.

But in the meantime, I hope that I have offered food for thought; and I look forward to hearing your views.

My thanks to those who have commented on the principles I shared on twitter ahead of posting this: Leo HollisTony SmithWe Make GoodIan OwenOsvaldoFred Bartels and Frederico Muñoz.

An address to the United Nations: science, technology and innovation for sustainable cities and peri-urban communities

I was honoured this week to be asked to address the 16th session of the United Nations’ Commission on Science and Technology for Development in Geneva on the topic of Smarter Cities. I was invited to speak following the Commission’s interest in my article “Open urbanism: why the information economy will lead to sustainable cities“, which was referenced in their report “Science, technology and innovation for sustainable cities and peri-urban communities“. I’ll write an article soon to describe what I learned from the other speakers and discussions at the Commission; but in the meantime, this is a reasonable representation of my spoken remarks.

(Photo of a street market in Dhaka, Bangladesh by Joisey Showa)

In the Industrial Revolution European cities were built upwards around lifts powered by the steam engine invented by James Watt and commercialised by Matthew Boulton in Birmingham. Over the last century we have expanded them outwards around private automobiles and roads.

We believed we could afford to base our cities and their economies on that model because its social and environmental costs were not included in its price. As our cities have become polluted and congested; as the world’s urban population grows dramatically; and as energy costs rise; that illusion is failing.

Professors Geoffrey West and Louis Bettencourt of Los Alamos Laboratory and the Sante Fe Institute said in their 2010 paper in the peer-reviewed scientific journal Nature that “At the start of the twenty-first century, cities emerged as the source of the greatest challenges that the planet has faced since humans became social.”

Technology offers powerful opportunities to address those challenges, and to support the lives of populations inside and around cities in new and more efficient ways, in both developed and developing markets. But technology will only deliver those benefits if we adapt governance and financial models to achieve broader social, economic and environmental outcomes; and if we use technology in a way that serves the genuine needs of local people, communities and businesses. A city that succeeds in transforming itself in this way is one that we call a Smarter City.

Those technologies are developing at an incredible rate. Two years ago, IBM’s “Watson”computer competed successfully against human beings in the television quiz show “Jeopardy”. Scientists at the University of California at Berkley have used a Magnetic Resonance Imaging facility to capture images from the thoughts of a person watching a film. And anything from prosthetic limbs to artificial food can be “printed” from digital designs.

The boundary between information systems, the physical world, and human minds, bodies and understanding is disappearing, and the world will be utterly transformed as a result.

But for who?

As digital and related technologies develop ever more rapidly, they will continue to change the way that value is created in local and global economies. Existing challenges in the acquisition of skills, digital exclusion and social mobility mean that life expectancy varies by 20 years or more even between areas within single cities in developed economies, let alone between the developed and developing world.

The challenge of digital exclusion is well known, of course; but the rapidity of these developments and the profound nature of their potential impact on city systems and economies imply a new sense of urgency in addressing it.

When my son was two years old I showed him a cartoon on an internet video site using the touchscreen tablet I’d just bought. When it finished, he instinctively reached out to touch the thumbnail image of the cartoon he wanted to watch next. The children of my son’s generation who grow up with that innate expectation that information across the world is literally at their fingertips will have an enormous advantage.

One of the things that we are exploring through Smarter City initiatives is how to make some of the power of these technologies more widely available to cities and communities.

(The multi-agency control centre in Rio de Janeiro built by Mayor Eduardo Paes to enable the city's agencies to manage the city effectively during the 2014 World Cup and 2016 Olympic Games)

(The multi-agency control centre in Rio de Janeiro built by Mayor Eduardo Paes to enable the city’s agencies to manage the city effectively during the 2014 World Cup and 2016 Olympic Games)

The city of Rio de Janeiro offers one example of what is possible when we successfully apply technology in cities. Under the leadership of Mayor Eduardo Paes a single operations centre for the city now coordinates the actions of 30 City services to manage the city safely and efficiently. Information feeds from the city’s road systems, CCTV cameras, public safety services and from an advanced weather forecasting solution that can predict the likelihood of life-threatening landslides are delivered to the centre in realtime, and used to trigger multi-agency responses, as well as alerts to the civilian population through channels such as social media .

But Rio is a large city in a rapidly growing Country; and it is preparing for a Football World Cup and Olympic Games within 2 years of each other. How can cities who are not in this position emulate Rio’s approach? And how can the power of this technology be made more broadly available to city communities as well as the agencies and institutions that serve them?

In Dublin, Ireland, the “Dublinked” information sharing partnership between the City and surrounding County Councils, the National University of Ireland, businesses and entrepreneurs is now sharing three thousand city datasets; using increasingly sophisticated, realtime tools to draw value from them; identifying new ways for the city’s transport, energy and water systems to work; and enabling the formation of new,  information-based businesses. It is putting the power of technology and of city information not only at the disposal of the city authority and its agencies, but also into the hands of communities and innovators.

But Dublin is the capital city of a developed country, with an internationally-recognised university, and which hosts large development and research facilities for multi-national technology companies such as IBM. How can cities without those advantages emulate Dublin’s successes?

One way is to re-use the results of research and “first-of-a-kind” projects whose cost has been borne in the developed world or in rapidly growing economies to pilot solutions in the developing world.

For example, my colleagues recently used knowledge gained through research in Dublin to suggest improvements to public transport in Abidjan, Cote d’Ivoire.

The project analysed anonymised movement data from the GPS sensors in the mobile telephones of bus passengers in order to identify clusters of start, end and intermediate points in their end-to-end journeys. By comparing existing bus routes to those points, the project identified four new bus routes and led to changes in many others.

As a result, 22 routes now show increased ridership. And by providing bus routes that better match the journeys that people really want to undertake, the need for them to travel to and from bus stops – often using unregulated and relatively unsafe “informal” travel services – is reduced to the extent that citywide travel time has decreased by 10%.

But we are not just seeking to replicate what works in a handful of high-profile cities as if the same solutions apply everywhere. It’s not always the case that they do, especially without local adaptation. And it’s vital to also enable new initiatives that arise from specific local contexts in cities everywhere, whatever their resources.

Consequently, in Sunderland, we were asked by the City Council: how do you make Hendon Smarter?

Sunderland is typical of the many post-industrial cities in Europe that are rebuilding economies following the decline of industries such as coalmining, bulk manufacturing and shipbuilding in the late 20th Century. Hendon in Sunderland’s East End is one of the areas that suffered most from that decline, and it still has low levels of employment, skills and social mobility.

What we have learned in Sunderland and elsewhere is that it is often private sector entrepreneurs and community innovators who have the widest set of ideas about how technology can be used cleverly to achieve the outcomes that are important to their cities, particularly in an environment with limited access to finance, skills and technology resources.

The large institutions of a city can assist those innovators by acting as an aggregator for their common needs for such resources, making them easier to acquire and use. They can also introduce external partners with research and development capability to those aggregate needs, which for them can represent a new market opportunity worthy of investment.

It’s rare that these connections work directly: government bodies and their large-scale suppliers have very different business models and cultures to small-scale innovators; and often there is little history of interaction, cooperation and trust. The role of “bridging organisations” and networks between individuals is extremely important.

(The SES "Container City" incubation facility for social enterprise in Sunderland)

(The “Container City” incubation facility for social enterprises operated by Sustainable Enterprise Strategies in Sunderland)

In Sunderland, Sustainable Enterprise Strategies, who provide business support to small businesses and social enterprises in Hendon, provided the bridge between the City Council and IBM; and community innovators, such as Lydia’s House who train vulnerable adults in skills such as furniture-making, and Play Fitness, who engage children from deprived backgrounds in physical exercise and education by using digital technology to connect exercise equipment to computer games. Sunderland Software City, the city’s technology business incubator, plays a similar role within the local community of entrepreneurial technology businesses.

This approach is not specific to Sunderland, the UK or the developed world. Our work in Sunderland was inspired by a previous project in Wuxi, China; and in turn it has informed our approaches in cities as far afield as the United States, the Middle East, Africa and Asia.

In many countries in many geographies, new organisational models are emerging from these co-operative ecosystems. For example:

  • Community Interest Companies for managing shared assets such as land, natural resources, or locally-produced food or energy, such as the Eco-Island initiative on the Isle of Wight; or similar models internationally such as Waste Concern in Bangladesh.
  • Social Enterprises such as Lydia’s House and Play Fitness, which develop financially sustainable business models, but which are optimised to deliver social, environmental or long-term economic benefits, rather than the maximum short-term financial return.
  • New partnerships between public sector agencies; educational institutions; service and technology providers; communities; and individuals – such as the Dubuque 2.0 sustainability partnership in where the city authority, residents and utility providers have agreed to share in the cost of fixing leaks in water supply identified by smart meters.

Often such organisations create innovative business models in the form of marketplaces in industries in which money-flows already exist. The changes to those money-flows created by smarter systems form the basis of the potential for returns upon which a business case for investment can be made.

(The SMS for Life project uses the cheap and widely used SMS infrastructure to create a dynamic, collaborative supply chain for medicines between pharmacies in Africa. Photo by Novartis AG)

Arguably, the widespread use of mobile phone technology in the developing world, and in particular the ubiquity of mobile payments systems in Africa, is more advanced in its ability to create such marketplaces using very low cost infrastructure than in communities in the developed world . Both financial services institutions and technology entrepreneurs in the West are watching these innovations closely and learning from them.

Examples include SMS for Life, which uses a text messaging system to implement a dynamic, distributed supply chain for medicines between collaborating pharmacies in several African countries. And Kilimo Salama provides affordable insurance for small-scale farmers by using remote weather monitoring to trigger payouts via mobile phones, rather than undertaking expensive site visits to assess claims. This is a good example of a private-sector aggregator – in this case an insurer – investing in a technology – remote weather monitoring – to serve a large number of end-users – the farmers – who can’t afford it directly.

In cities, we are starting to see these ideas applied to the creation of food distribution schemes; sustainable transport systems that share the use of resources such as cars and vans and perform dynamic matching between networks of independent consumers and providers of transport services; and many other systems that reinforce local trading opportunities and create social and economic growth.

(A smartphone alert sent to a commuter in a San Francisco pilot project by IBM Research and Caltrans that provides personalised daily predictions of commuting journey times – and suggestions for alternative routes.)

But the role of technology in these markets is not just to introduce consumers and providers of services to each other; but to do so in a way that informs consumers about the impact of the choices they are about to make.

In Singapore, algorithms are used by the city’s traffic managers to predict traffic flow and congestion in the city up to one hour ahead with 85% accuracy. This allows them to take measures to prevent the predicted congestion occurring.

In a later project in California, those predictions made by those algorithms were provided to individual commuters in San Francisco’s Bay Area. Each commuter was told, in advance, the likely duration of their journey to the city each day, including the impact of any congestion that would develop whilst their journey was underway. This allowed them to make new choices: to travel at a different time; by a different route or mode of transport; or not to travel at all.

And we can appeal not only to individual motivations, but to our sense of community and place. In a smart water meter project in Dubuque, households were given information that told them whether their domestic appliances were being used efficiently, and alerted to any leaks in their supply of water. To a certain extent, households acted on this information to improve the efficiency of their water usage.

However a control group were also given a “green points” score telling them how their water conservation compared to that of their near neighbours. The households given that information were twice as likely to take action to improve their efficiency.

Maslow’s hierarchy of needs tells us that once the immediate physical needs and safety of ourselves and our family are secured, that our motivations are next dictated by our relationships with the people around us – our families, communities and peers. Our ability to relate information to community contexts allows information-based services to appeal to those values.

(The Dubuque water and energy portal, showing an individual household insight into it's conservation performance; but also a ranking comparing their performance to their near neighbours)

(The Dubuque water and energy portal, showing an individual household insight into it’s conservation performance; but also a ranking comparing their performance to their near neighbours)

A new style of personal leadership can be found in many of the situations in which these ideas are successfully applied: people from a variety of backgrounds who have the ability to build new bridges; to bring together the resources of local communities and national and international institutions; to harness technology at appropriate cost for collective benefit; to step in and out of institutional and community behaviour and adapt to different cultures, conversations and approaches to business; and to create business models that balance financial health and sustainability with social and environmental outcomes.

The more that national and local governments can collaborate with the private sector, bridging organisations and communities to encourage this style of leadership and support and reward these new models of business, the more successfully we’ll put the power of technology into the hands of the people, businesses and communities most able to design, use and operate the new services that will make their cities better.

Large organisations have resources; small organisations have the ability to create valuable innovations in true sympathy with the detail of their local context. Private sector has the expertise to invest in assets that create future value; public sector has the responsibility to govern for the good of all. It is only by working together across all of these boundaries at once that we will really succeed in making cities Smarter in a way that is sustainable and equitably distributed. And that must be the only definition of “Smarter” that makes sense.

Death, life and place in great digital cities

("Lives on the Line" by James Cheshire at UCL's Centre for Advanced Spatial Analysis, showing the variation in life expectancy and correlation to child poverty in London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

(“Lives on the Line” by James Cheshire at UCL’s Centre for Advanced Spatial Analysis, showing the variation in life expectancy and correlation to child poverty in London. From Cheshire, J. 2012. Lives on the Line: Mapping Life Expectancy Along the London Tube Network. Environment and Planning A. 44 (7). Doi: 10.1068/a45341)

At the recent Base Birmingham Conference, Scott Cain of the UK Technology Strategy Board (TSB) explained some of the reasons why Glasgow was awarded the TSB’s £24m Future Cities Demonstrator project this year.

Among them all, including the arrival of the Commonwealth Games in 2014 and the strength of the proposed delivery partnership, one stood out for me: the challenge of addressing the difference in life expectancy of 28 years between the wealthiest and poorest areas of the city.

That’s a deeply serious problem, and it’s inarguably worth supporting the city’s attempts to tackle it. Glasgow’s demonstrator project includes a variety of proposals to tackle life expectancy and other issues correlated with it – such as fuel poverty, public safety and health – using technology- and information-enabled approaches.

But whilst Glasgow has the widest variation in life expectancy in the UK, it is far from alone in having a significant one. The variation in life expectancy in London is about 20 years, and has been mapped against its tube network. Life expectancy in Birmingham ranges from 75 to 84 and has similarly been mapped against the local rail network; and in Plymouth it varies by 12.6 years across the city. Life expectancy in many cities varies by as much as 10 years, and is widely viewed as an unacceptable inequality between the opportunities for life offered to children born in different places.

Glasgow, Plymouth, London and Birmingham are just a few examples of cities with active strategies to address this inequality; but all of them are crafting and executing those strategies in an incredibly tough environment.

Many nations in the developed world are facing times of budget cuts and austerity as they tackle high levels of public, commercial and domestic debt built up in the decades leading to the 2008 financial crisis. At the same time, growth in the population, economies and middle classes of the emerging world are creating new wealth, and new demand for resources, across the world. So the cities of the developed world are seeking to rebalance inequalities in their own communities at a time when the resources available to them to do so are shrinking as a consequence of a rebalancing of inequalities that is, to an extent, taking place on a global scale (and quite rightly).

(Photo of Geoffery West describing the scaling laws that determine animal characteristics by Steve Jurvetson. Note that whilst the chart focusses on mammals, the scaling laws are more broadly applicable.)

The physicist Geoffrey West has analysed in detail the performance of city systems, and one interpretation of his work is that it demonstrates that this challenge is inevitable. He showed that larger cities create more wealth, more efficiently, than smaller cities. In doing so, they attract residents, grow bigger still, and accelerate wealth creation further. This self-reinforcing process results in an ever-increasing demand for resources. It powered the growth of cities in the developed world through the Industrial Revolution; and it is powering the growth of cities in emerging markets today.

In an interview with the New York Times, West described two possible ends to this process: a catastrophe caused by a failure in the supply of resources; or an intervention to alter the relationship between value creation and resource consumption.

Many would argue that we are already experiencing failures in supply – for example, the frightening effects of recent grain shortages caused by droughts that are probably attributable to climate change; or predictions that the UK will face regular blackouts by about 2015 due to a shortfall in power generation.

At the heart of the Smarter Cities movement is the belief that the use of engineering and IT technologies, including social media and information marketplaces, can create more efficient and resilient city systems. Might that idea offer a way to address the challenges of supporting wealth creation in cities at a sustainable rate of resource usage; and of providing city services to enable wellbeing, social mobility and economic growth at a reduced level of cost?

Many examples demonstrate that – in principle – Smarter Cities concepts can do that. Analytics technologies have been used to speed up convergence and innovation across sectors in city economies; individuals, communities and utility providers have engaged in the collective, sustainable use of energy and water resources, as has happened in Dubuque; local trading and currency systems are being used to encourage the growth of economic activity with local social and environmental benefits; information technology enables more efficient transportation systems such as California’s Smarter Traveller scheme or the local transport marketplaces created by Shutl and Carbon Voyage; and business-to-business and business-to-consumer marketplaces such as Big Barn and Sustaination are supporting local food initiatives.

But there are two problems with broadly applying these approaches to improve cities everywhere.

(The Dubuque water and energy portal, showing an individual household insight into it's conservation performance; but also a ranking comparing their performance to their near neighbours)

(The Dubuque water and energy portal, showing an individual household insight into it’s conservation performance; but also a ranking comparing their performance to their near neighbours)

Firstly, they do not always translate in a straightforward way from one place and system to another. For example, a neighbourhood in Dubuque achieved an overall reduction in water and energy usage when each household was given information comparing their own resource consumption to an anonymised average for those around them. Households with higher-than-average resource use were motivated to become better neighbours.

But a recycling scheme in London that adopted a similar approach found instead that it lowered recycling rates across the community: households who learned that they were putting more effort into recycling than their neighbours asked themselves “if my neighbours aren’t contributing to this initiative, then why should I?”

These are good examples of “Smarter City” initiatives that are enabled by technology; but that are more importantly dependent on changes in the behaviour of individuals and communities. The reasons that those changes take place cannot always be copied from one context to another. They are a crucial part of a design process that should be carried out within individual communities in order to co-create useful solutions for them.

Secondly, there is a truth about social media, information marketplaces and related “Smarter City” technologies that is far too rarely explored, but that has serious implications. It is that:

Rather than removing the need to travel and transport things, these technologies can dramatically increase our requirements to do so.

For example, since I began writing this blog about 18 months ago, I have added several hundred connections to my social media network. That’s hundreds of new people who I now know it’s worth my while to travel to meet in person. And sure enough, as my network has grown in social media, so have the demands of my traveling schedule.

Similarly, e-Bay CEO John Donahoe recently described the environmental benefits created by the online second-hand marketplace extending the life of over $100 billion of goods since it began, representing a significant reduction in the impact of manufacturing and disposing of goods. But such benefits of online marketplaces are offset by the carbon impact of the need to transport goods between the buyers and sellers who use them; and by the social and economic impact in cities that are too often dominated by road traffic rather than human life.

Increasing the demand for transport in cities could be very damaging. Some urbanists such as the architect and town planner Tim Stonor and Enrique Peñalosa, former mayor of Bogotá, assert that the single biggest cause of poorly functioning city environments today is the technology around which most of them have been built for the last century: the automobile. And whilst recent trends have started to address those challenges – “human scale” approaches to town planning and architecture; the cycling and walkability movements; and, in some cases, improvements in public transport – most cities still have congested transport systems that make cities more dangerous and unpleasant than we would like.

(Photo of pedestrian barriers in Hackney, London by mpromber, showing how they impede the movement of people engaging in local transactions at the expense of road traffic passing through the area)

We are opening Pandora’s box. These tremendously powerful technologies could indeed create more efficient, resilient city systems. But unless they are applied with real care, they could exacerbate our challenges. If they act simply to speed up transactions and the consumption of resources in city systems, then they will add to the damage that has already been done to urban environments, and that is one of the causes of the social inequality and differences in life expectancy that cities are seeking to address.

And as serious as these issues are today, they will be even more important in the future:

At this week’s Academy of Urbanism Congress in Bradford, economist Michael Ward, Chair of the Centre for Local Economic Strategies, expressed most succinctly a point that many speakers touched on:

“The key task facing civic leaders in the 21st Century is this: how, in a period of profound and continuing economic changes, will our citizens earn a living and prosper?”

For cities to provide jobs, they need successful businesses; and technology will have a dramatic effect on what it means to be a successful business in the 21st Century.

Over the last two decades, the internet, mobile phone and social media have redefined the boundaries of the communications, technology, media, publishing and technology industries. The companies that thrived through those changes were those who best understood how to use technology to merge capabilities from across those industries into new business models. In the coming decade as digitisation extends to industries such as manufacturing through technologies such as 3D printing and smart materials, more and more industry sectors will be redefined by similar levels of disruption and convergence.

So how are the economies of our cities placed to be successful in that world of change?

My home city Birmingham has many of the economic capabilities required to exploit those imminent changes successfully. It has a manufacturing base that includes advanced digital capability; it has a growing technology industry and a strong creative sector. Professional services companies offer financial and legal support, and local Universities have world-class research capability in disciplines such as healthcare and medical technology.

But as in many cities, those capabilities are concentrated in separate areas of the city. The collage of photographs below depicts some of Birmingham’s value-creating districts, placed in relation to some of the spatial characteristics of the city that divide them.

(A collage of photographs of some of Birmingham's value-creating districts, placed in relation to some of the spatial characteristics of the city that divide them).

(A collage of photographs of some of Birmingham’s value-creating districts, placed in relation to some of the spatial characteristics of the city that divide them. See the end of this article for attributions).

In the top left of the collage, the Jewellery Quarter, a centre of advanced manufacturing to the North of the City Centre, is separated from the digital technology incubation capability of Innovation Birmingham on the Aston University Campus, and from financial and legal expertise in the Colmore Row business district, by the four-lane Great Charles Street Queensway, part of the city-centre ringroad.

The Aston Campus is separated from the Eastside learning quarter, home to Millennium Point and Birmingham City University, by the Jennens Road dual carriageway. Eastside itself is separated from the creative media cluster around the Custard Factory and Fazeley Studios in Digbeth in the South East by the East Coast mainline from Birmingham to London; and by the semi-dereliction of some parts of the Digbeth manufacturing district.

To the South West, the enormous medical research capability around the University Hospital of Birmingham and University of Birmingham and it’s Research Park are three miles from the City Centre. And whilst the retail core of the city was dramatically transformed by the Bullring redevelopment over a decade ago, it lacks the independent shops, cafe and culture that might naturally attract those who work in the surrounding creative districts to congregate together.

The city’s Big City Plan and independent initiatives such as Coffee Birmingham are doing much to address these issues – and in particular, the city centre now boasts a number of fine cafes and delicatessens such as the Urban Coffee Company and York’s Bakery Cafe. But nevertheless these examples illustrate challenges many cities face in adapting their spatial structure to the needs of the new economy to bring their collective capabilities together to create new ideas and innovations.

(Visitors to Birmingham's new Eastside city park which connects the city centre and train stations to the Eastside learning district)

(Visitors to Birmingham’s new Eastside city park which connects the city centre and train stations to the Eastside learning district)

I took my family to Birmingham’s new Eastside City Park recently; the park is intended to address some of the challenges I have just described by better connecting the learning quarter to the city centre and train stations by providing a walking and cycling route between them, as well as an open space with value in its own right.

By coincidence, I had just read the chapter in Jane Jacobs’ seminal “Death and Life of Great American Cities” which addresses the factors which determine whether city parks and spaces work or fail; and describes how difficult it can be to make them successful. I was therefore delighted to see the Eastside park full of people – families with children playing; couples relaxing in the sun; students and workers stopping for food and coffee. This vibrancy, created by the proximity of mixed business, learning and leisure facilities, did not happen by accident. It is a product both of the careful design of the park; and of the context of the park’s creation within a multi-decade strategy for regenerating the surrounding district, which incorporates the expansion and re-location of two colleges and two universities in the area.

Birmingham’s Eastside park – like Bradford’s new City Park, winner of the Academy of Urbanism’s “Great Place 2013″ award – is a great example of reclaiming for people an important area that had previously been shaped by the requirements of cars, trucks and lorries.

But as a new generation of technology, digital technology, starts to shape our cities, how can we direct the deployment of that technology to be sympathetic to the needs of people and communities, rather than hostile to them, as too much of our urban transport infrastructure has been?

This is an urgent and vital issue. For example, privacy and security are perhaps the greatest current challenges of the digital age – as epitomised by the challenge issued to Google this week by United States politicians concerning the privacy implications of their latest innovation, “Google Glass”. But these concerns are not limited to the online world. Jane Jacobs based her understanding of city systems on privacy and safety. Google Glass epitomises the way that innovations in consumer technology are changing the relationship between physical and digital environments; with the consequence that a failure in privacy or security digital systems could affect community vitality or public safety in cities.

A particularly stark example is the 3D-printed gun, which I first mentioned last August. A reliable process for producing these is now being disseminated by the pro-firearms movement in the United States. As half a century of widespread sharing of music demonstrates, we cannot rely on Digital Rights Management technology for gun control. Other developments that I think need a similar level of consideration are the ability to create artificial meat in laboratories, which has been suggested as one way to feed a growing world population; and the increasing ability of information systems to interact directly with our own minds and bodies. To my mind these technologies challenge our fundamental assumptions about what it means to be human, and our relationship with nature.

(Google’s wearable computer, Google Glass. Photograph by Apostolos)

So how are we to resolve the dilemma that emerging technologies offer both the best chance to address our challenges and great potential to exacerbate them?

The first step is for us to collectively recognise what is at stake: the safety and resilience of our communities; and the nature of our relationship with the environment. Digital technology is not just supporting our world, it is beginning to transform it.

The second step is for the designers of cities and city services – architects, town planners, transport officers, community groups and social innovators –  to take control of the technology agenda in their cities and communities, rather than allow technologists to define it by default.

My role as a technologist is to create visions for what is possible; and to communicate those visions clearly to stakeholders in cities. In doing so it is important to communicate the whole story – the risks and uncertainties inherent in it, not just the great gadgets that make it possible. If I do that, I’m enabling the potential consumers of technology to make informed choices – for example, choosing whether or not to use certain online services or digital devices based on an understanding of their approaches to the use of personal information.

The truth, though, is that we are in the very earliest stages of considering these technologies in that way in the overall design, planning and governance of cities. A huge number of the initiatives that are currently exploring their use are individual projects focussed on their own goals; they are not city-wide strategic initiatives. And whilst some are led by city authorities, many more are community initiatives, such as the Social Media Surgeries which began in Birmingham but which now run internationally; or are led by business – technology corporations like IBM and Google, the developers of buildings such as the Greenhouse in Leeds, or small start-ups like Shutl.

In contrast, it is the role of policy-makers, town planners, and architects to understand how technology can help cities achieve their overall objectives such as economic growth, improvements in social mobility and reductions in the disparity in life expectancy. It is also their role to put in place any necessary constraints and governance to manage the impact of those technologies – for example, policies that oblige the developers of new buildings to make data from those buildings openly available as part of an overall “open data” strategy for a city.

As well as technologists, three crucial groups of advisers to that process are social scientists, design thinkers and placemakers. They have the creativity and insight to understand how digital technologies can meet the needs of people and communities in a way that contributes to the creation of great places, and great cities – places like the Eastside city park that are full of life.

Tina Saaby, Copenhagen’s City Architect, expressed a beautiful principle of placemaking in her address to the Academy of Urbanism Congress:

“Consider urban life before urban space; consider urban space before buildings”

In my view, we should apply a similar principle to technology:

 “Consider urban life before urban place; consider urban place before technology

(Tina Saaby, Copenhagen's City Architect, addressing the Academy of Urbanism Congress in Bradford)

(Tina Saaby, Copenhagen’s City Architect, addressing the Academy of Urbanism Congress in Bradford)

Without this perspective, I don’t personally believe that we’ll create the great digital places that we need.

That’s why I spent last week exploring this topic with placemakers, town planners and policy-makers in a “digital urbanism” workshop at the Academy of Urbanism Congress; and it’s why I’ll be exploring it in June with social scientists and researchers of city systems at the University of Durham. I’ll be writing again soon on this blog about what I’m learning from those meetings.

Not everything promised by technology will transpire or succeed, and it is often right to be sceptical of individual ideas until they’re proven. But there should be no question of the magnitude and impact of the changes that technology will create in the near future. And it’s down to us to take charge of those changes for our benefit as individuals and communities.

(The photographic collage of Birmingham involves some of my own photographs, but also the following images:

Privacy in digital cities: Google Glass, the right to choose, and the enduring legacy of Jane Jacobs

(The White Horse Tavern in Greenwich Village, New York, one of the city’s oldest taverns. The rich urban life of the Village was described by one of the Taverns’ many famous patrons, the urbanist Jane Jacobs. Photo by Steve Minor).

I’ve spent a lot of time over the past few years discussing the evolution of cities, and the role of technology in that evolution, with architects, social scientists, politicians and academics. In the course of those discussions, every few weeks someone has suggested that Jane Jacobs laid the basic groundwork for understanding that evolution in her 1961 book “The Death and Life of Great Amercian Cities“.

That book is more than half a century old now, and clearly it was written in the context of the technologies of the time. And those technologies are a background presence in it, not it’s focus. But in the sense that construction technologies, transport technologies and digital technologies are only effective in cities when they are subservient to the needs of the everyday lives of people and communities, then Jacobs’ discourse on the proper understanding of those lives remains highly relevant; and should be inspirational to us in understanding how today’s technologies can serve them.

In particular, it is relevant to one of the great societal, ethical, political, legal and technical challenges of our time: privacy in a world of digital information.

The concept of privacy was central to Jacobs’ analysis of the functioning of cities. Her defining characteristic of cities is that the great size of their populations means that most people in them are strangers to each other; and that creating safety and security in that context is very different to creating it a town or village where a higher proportion of people are known to each other.

Her assertion was that cities are safe places for strangers to inhabit or visit when public and private life are clearly separated. When public life is lived on streets with a mixture of residential, retail, work and leisure activities, then those streets are busy at most times of day and night. They are therefore full of observers who inhibit anti-social behaviour, and can intervene to prevent it if necessary. In contrast, private life is safe when it is lived securely and separate from those public spaces, so that strangers cannot intrude.

Places that blur these distinctions can be dangerous. Parks in sparsely populated and entirely residential suburbs, for example, are short of observers; so that if the play of children, or the behaviour of others towards them, becomes threatening, there is less likelihood of a preventive intervention.

This thinking was brought to mind this week by Jan Chipchase’s discussion of the implications of Google Glass. Glass is a “wearable computer” mounted on false spectacles that displays information to overlay what we see. It can make video and audio recordings of the world we are experiencing, and can distribute those recordings through wireless connectivity to the internet. It responds to a voice-control interface and  by recognising manual gestures.

Chipchase compared the implications of these capabilities to our assumptions of what constitutes reasonable public behaviour. Is it acceptable that strangers in the same place should record each other’s behaviour and distribute those recordings with no indication that they are doing so? Chipchase suggested that to do so would create distrust and uneasiness in public situations.

Such unsignalled recording and distribution of public behaviour blurs boundaries between new forms of public and private context. In a physically public context, an individual is privately choosing to distribute detailed information concerning other individuals in that context to a much broader audience who are unknown to the subjects of the recording.

These public and private contexts are related to and extend those that Jacobs discussed; does blurring the boundaries between them undermine safety between strangers in an analogous way?

I think it does.

(Google’s wearable computer, Google Glass. Photograph by Apostolos)

Suppose I have a conversation with a friend in a cafe about a birthday gift for my wife. If, unknown to us, that conversation is recorded and uploaded to the internet, what is the risk that my wife might discover the nature of what is intended to be a surprise gift?

If the recording is uploaded to Youtube and identified only with a time and a place, my wife is unlikely to stumble across it. But if it is uploaded to a Facebook group concerned with our local highstreet; and if it is tagged with the names of people, places and things extracted by speech-recognition technology from it’s audio content; and if it is recorded by a person who is related by friend-of-a-friend relationship to either me or my wife; then the chance of her encountering it through her own interactions with social media increases.

This is a fairly innocuous example – life is more pleasant when birthday presents are surprises, but it is hardly life-threatening when they are not. But there are many scenarios in which failures of privacy are harmful; and sometimes extremely so.

Chipchase suggested principles of behaviour for avoiding such failures – for example, ways in which Glass users could make it visibly clear to others in their vicinity that they are making a recording. Indeed, many photographers already make a point of establishing the consent of the people they are photographing; the failure of some “Paparazzi” to do so is what leads to the controversies concerning their behaviour.

This discussion is not intended as a criticism of Google Glass. On the contrary, I’m tremendously excited by it’s potential – I’ve written frequently on this blog about the astonishing possibilities that such technologies will create as they remove the boundary between human behaviour and information systems. But we do need take their implications seriously.

And while Glass is still a relatively narrowly distributed prototype, the humble smartphone and related technologies raise similar challenges. They have already fundamentally changed the relationships between our communications with other people, and our proximity to them.

(Our gestures when using smartphones may be directed towards the phones, or the people we are communicating with through them; but how are they interpreted by the people around us? “Oh, yeah? Well, if you point your smartphone at me, I’m gonna point my smartphone at you!” by Ed Yourdon)

If we use a relatively inconspicuous Bluetooth headset to make a call through a mobile phone hidden in a pocket; and if we gesture with our arms emphatically whilst speaking on that call; how should the people around us, who might be completely unaware that the call is taking place, interpret our actions? And what happens if they perceive those gestures to be rude or threatening?

Our use of such devices already creates a mass of data that diffuses into the world around us. Sometimes this is as a result of deliberate actions:  when we share geo-tagged photos through social media, for example.

In other cases, it is incidental. The location and movement of GPS sensors in our smartphones is anonymised by our network providers and aggregated with that of others nearby who are moving similarly. It is then sold to traffic information services, so that they can sell it back to us through the satellite navigation systems in our cars to help us to avoid traffic congestion.

As a result, two of the most frequent questions I am asked in panel debates or media interviews are: who owns all this data? And are big corporations using it and controlling it for their own purposes?

The answers to those questions are not simple, but they are important. Just as Jane Jacobs argued that the provision of privacy in urban environments is fundamental to their ability to successfully support all of their inhabitants; so privacy in digital environments is fundamental to the ability of all of us to benefit fairly from the information economy.

It is certainly true that organisations of all types and sizes are competing for the new markets and opportunities of the information economy that are created, in part, by the increased availability of personal information. That is simply the natural consequence of the emergence of a new resource in a competitive economy. But it is also true that as the originators of much of that information, and as the ultimate stakeholders in that economy, we should seek to establish an equitable consensus between us for how our information is used.

Max Barry’s novel “Jennifer Government” describes a world in which personal information is dominated by loyalty-card programmes that define not just the retail economy, but society as a whole – to the extent to which surnames have been replaced with institutional affiliations (hence the book is populated by characters such as Jennifer “Government”, John “Nike” and Violet “ExxonMobil”). It is simultaneously funny and scary because it is recognisable as one possible extrapolation from the world we live in today (though not, I hope, the most likely; and I should state that Nike and ExxonMobil feature in it in entirely fictitious roles).

A real information-based enterprise working to a different set of principles is MyDex, a Community Interest Company (CIC) who have created a platform for securely storing and sharing personal information. Incorporation as a CIC  allows MyDex:

“… to be sustainable and requires it be run for community benefit. Crucially, the CIC assets and the majority of any profits must be used for the community purposes for which Mydex is established. Its assets cannot be acquired by another party to which such restrictions do not apply.”

(From the MyDex website, http://mydex.org/about/ensuring-trust/).

As a result of both the security of their technology solution and the clarity with which personal and community interests are reflected in their business model, MyDex’s platform is now being used by a variety of public sector and community organisations to offer a personal data store to the people they support.

Mydex’s business structure reflects principles which occur elsewhere in examples of commercial organisations whose operations are consistent with long-term community value.

(Hancock Bank’s vault, damaged by Hurricane Katrina. Photo by Social Stratification)

In Resilience, Andrew Zolli gives another example, that of Hancock Bank’s response to hurricane katrina. Hancock are a local institution in New Orleans, and their branch network was 90% destroyed by the hurricane. Whilst they recovered their central systems relatively quickly, without a branch network there was no way to interact with their customers – the citizens of a devastated city with a desperate need for cash to purchase food and basic supplies.

Hancock’s staff were able to set up temporary facilities to meet customers, but without any connection from those facilities to their central systems, how could they know who their customers were, let alone how much money each had in their current account?

Hancock answered this challenge by referring to it’s original charter, which described the bank as an institution that supported the city’s community – not as one which existed to make profits. On that basis they decided to lend $200 to anyone who would write their name and social security number on a piece of paper and sign it.

This astonishing action put desperately needed cash into the community. And the community remembered. After three years all but $250,000 of the $42,000,000 the bank lent in this way had been repaid; and the bank had 13,000 new customer accounts and a $1.5billion increase in deposits. Ultimately, their actions made very good business sense.

So how can we influence institutions to create strategies to deal with our personal information that are similarly consistent with long-term mutual benefit?

In Collapse, Jared Diamond explores at length the role of corporations, consumers, communities, campaigners and political institutions in influencing whether businesses such as fishing and resource extraction are operated in the long term interests of the ecosystem containing them – including their communities, environment and ecology – or whether they are being optimised only for short term financial gain and potentially creating damaging impacts as a consequence.

Diamond asserted that in principle a constructive,  sustainable relationship between such businesses and their ecosystems is perfectly compatible with business interest; and in fact is vital to sustaining long-term, profitable business operations. He described at length Chevron’s operations in the Kutubu oilfield in Papua New Guinea,  working in partnership with local communities to achieve social, environmental and business sustainability. The World Resources Institute’s recent report, “Aligning profit and environmental sustainability: stories from industry” contains many other examples.

But these examples are driven by what are now very visible and acknowledged challenges that directly affect business: climate change, water shortages and the increasing impact and severity of extreme weather events. How can we bring the same approach to the design of business models that deal with personal information?

(Photo by Stefan of Himeji, Japan, showing the forest that covers much of Japan’s landmass enclosing – and enclosed by – the city. In the 17th and 19th Centuries, Japan successfully slowed population growth and reversed a trend of of deforestation which threatened it’s society and economy, as described in Jared Diamond’s book “Collapse“.)

Collapse was written 8 years ago now; and it’s messages on how to influence the sustainability agenda of businesses in the last decade may provide insight into how we should influence the privacy agenda today. In Diamond’s view, the key was to understand where we as consumers can bring the most pressure to bear in the supply chains and markets which depend ultimately on the resources we care about. In Diamond’s words:

“… the most effective pressure on mining companies to change their practises has come not from individual consumers picketing mine sites, but from big companies that buy metals … and that sell to individual consumers”.

– Jared Diamond, Collapse, 2005, p 477

As well as applying pressure to those elements in the supply chain where consumers have purchasing power, some means are needed to monitor the behaviour of businesses and certify their performance. Schemes offering such certifications include those operated by the Forestry Stewardship Council for sustainable forestry; BREEAM for sustainable buildings and Fairtrade for socially sustainable food.

There are, of course, significant challenges with this approach: who defines how the impact of resource usage should be measured? Who performs the measurement? Are systems in place across supply chains to track the movement of resources through them such that accurate, end-to-end measurements can be made?

Whilst some of these challenges can be addressed with technology solutions – such as the tracking of food through the supply chain using RFID tags – some of them will only be addressed by informed consumers. Standards for measuring impact, for example, are often defined by non-governmental organisations; and their stakeholders usually include communities, consumers and businesses with an interest in the systems being measured. Typically, several such standards compete in any industry, offering different approaches to measurement. To understand what those standards are telling us; and to use them to choose products and services that promote the outcomes that matter to us, we need to be informed, not casual, consumers.

The lesson for privacy is that all of us need to be sophisticated guardians of our own security – just as we have become more sophisticated purchasers of food and users of technology. We need to exercise that sophistication in choosing to engage with organisations whose approaches to the security and privacy of our data is respectful and transparent, and which build a relationship or transaction of mutual value.

Conversely, we need to help organisations – public or private – that use personal data to understand what for us constitutes the mistreatment of data; especially through actions that are a side effect of our direct transactions with them, akin to the environmental impact of resource industries. And where there is no choice, or no transparency to enable choice, we need to lobby politicians to make clear that we care about these issues, and that we will vote for those who address them.

Of course the security agenda in a digital age is not a new one; but as technology spreads further and deeper into city systems, and into our interactions in city environments, it is useful to bear in mind the enduring legacy of Jane Jacob’s work, and be reminded that security is at the heart of cities, not just technology.

Pens, paper and conversations. And the other technologies that will make cities Smarter.

(Akihabara Street in Tokyo, a centre of high technology, photographed by Trey Ratcliff)

(Akihabara Street in Tokyo, a centre of high technology, photographed by Trey Ratcliff)

A great many factors will determine the future of our cities – for example, human behaviour, demographics, economics, and evolving thinking in urban planning and architecture.

The specific terms “Smart Cities” and “Smarter Cities”, though, are commonly applied to the concept that cities can exploit technology to find new ways to face their challenges. Boyd Cohen of Fast Company offered a useful definition in his article “The Top 10 Smart Cities On The Planet“:

“Smart cities use information and communication technologies (ICT) to be more intelligent and efficient in the use of resources, resulting in cost and energy savings, improved service delivery and quality of life, and reduced environmental footprint–all supporting innovation and the low-carbon economy.”

Some technology developments – such as Service-Oriented Architecture and distributed computing are technically cohesive and can be defined by a particular architecture. Others, however, are more loosely defined. For instance, “Web 2.0” – a term associated with the emergence of social media, smartphones and businesses such as e-Bay, Facebook and Twitter – was coined by Tim O’Reilly in 2003 as a banner to capture the idea that internet and related technologies had once again become valuable sources of innovation following the “dot.com crash”.

So what are the technologies that will make cities Smart?

To answer that question, we need to examine the convergence of two domains of staggering complexity, and of which the outcomes are hard to predict.

The first is the domain of cities: vast, overlapping systems of systems. Their behaviour is the aggregated behaviour of their hundreds of thousands or millions of citizens. Whilst early work is starting to understand the relationship between those systems in a quantitative and deterministic way, such as the City Protocol initiative, we are just at the start of that journey.

(An early example of the emerging technologies that are blurring the boundary between the physical world and information: Professor Kevin Warwick, who in 2002 embedded a silicon chip with 100 spiked electrodes directly into his nervous system. Photo by M1K3Y)

The second domain is technology. We are experiencing phenomenal growth in the availability of information and the invention of new forms of communication. In 2007, more new information was created in one year than in the preceding 5000 years. And whilst the telephone, invented in the mid-19th Century, took around 100 years to become widespread, internet-based communication tools such as Twitter can spread to hundreds of millions of users within a few years.

If we define a “new form of communication” as a means of enabling new patterns of exchange of information between individuals, rather than as a new underlying infrastructure, then we are inventing them – such as foursquareStumbleUpon, and Pinterest – at a faster rate than at any previous time in history.

The discovery and exchange of ideas enabled by these technologies is increasing the rate of invention across many other fields of endeavour, including science and engineering. Indeed, this was deliberate: the evolution of the internet is closely entwined with the need of scientists and engineers to collaborate with each other. I recently surveyed some of the surprising new technologies, and their applications in cities, that are emerging as a result – including materials that grow themselves, 3D printing and mind-reading headsets.

So whilst common patterns are emerging from some Smarter City solutions – for example, the “Digital Cities Exchange” research programme at Imperial College, London; the “FI-WARE” project researching the core platform for the “future internet”; the “European Platform for Intelligent Cities (EPIC)“; and IBM’s own “Intelligent Operations Centre” all share a similar architecture – there is no single platform, architecture or technology that defines “Smart Cities”. Rather, the term defines a period in time in which we have collectively realized that it is critically important to explore the application of new technologies to change the way city systems work to make them more efficient, more equitable and more resilient in the face of the economic, environmental and social challenges facing us.

My own profession is information technology; and I spend much of my time focussed on the latest developments in that field. But in the context of cities, it is a relatively narrow domain. More broadly, developments in many disciplines of science, engineering and technology offer new possibilities for cities of the future.

I find the following framework useful in understanding the various engineering, information and communication technologies that can support Smart City projects. As with the other articles I post to this blog, this is not intended to be comprehensive or definitive – it’s far too early in the field for that; but I hope it is nevertheless a useful contribution.

And I will also find a place in it for one of the oldest and most important technologies that our species has invented: language; and it’s exploitation in “Smart” systems such as pens, paper and conversations.

1. Re-engineering the physical components of city systems

(Kohei Hayamizu’s first attempt to capture energy from pedestrian footfall in Shibuya, Tokyo)

The machinery that supports city systems generally converts raw materials and energy into some useful output. The efficiency of that machinery is limited by theory and engineering. The theoretical limit is created by the fact that machinery operates by transforming energy from one form – such as electricity – into another form – such as movement or heat. Physical laws, such as the Laws of Thermodynamics, limit the efficiency of those processes.

For example, the efficiency of a refrigerator is limited by the fact that it will always use some energy to create a temperature gradient in order that heat can be removed from the contents of the fridge; it then requires additional energy to actually perform that heat removal. Engineering challenges then further reduce efficiency – in the example of the fridge, because its moving components create heat and noise.

One way to improve the efficiency of city systems is to improve the efficiency of the machinery that supports them; either by adopting new approaches (for example, switching from petrol-fuelled to hydrogen-fuelled vehicles), or by increasing the engineering efficiency of existing approaches (for example, using turbo-chargers to increase the efficiency of petrol and diesel engines).

Examples of this approach include:

  • Using new forms of energy exchange, for example, capturing energy from vibrations caused by footfall;
  • Using more efficient energy generation or exchange technologies – such as re-using the heat from computers to heat offices, or using renewable bio-, wind-, or solar energy sources;
  • Using new transport technologies for people, resources or goods that changes the economics of the size and frequency of transport; or of the endpoints and routes – such as underground recycling networks;
  • Replacing transport with other technologies – such as online collaboration;
  • Reducing wastage and inefficiencies in operation,such as the creation of heat and noise – for example, by switching to lighting technologies such as LED that create less heat.

2. Using information  to optimise the operation of city systems

In principle, we can instrument and collect data from any aspect of the systems that support cities; use that data to draw insight into their performance; and use that insight to improve their performance and efficiency in realtime. The ability to do this in practical and affordable ways is relatively new; and offers us the possibility to support larger populations at a higher standard of living whilst using resources more efficiently.

There are challenges, of course. The availability of communication networks to transmit data from where it can be measured to where it can be analysed cannot be assumed. 3G and Wi-Fi coverage is much less complete at ground level, where many city infrastructure components are located, than at head height where humans use mobile phones. And these technologies require expensive, power-hungry transmitters and receivers. New initiatives and startups such as Weightless and SigFox are exploring the creation of communication technologies that promise widespread connectivity at low cost and with low power usage, but they are not yet proven or established.

Despite those challenges, a variety of successful examples exist. Shutl and Carbon Voyage, for example, both use recently emerged technologies to match capacity and demand across networks of transport suppliers; thereby increasing the overall efficiency of the transport systems in the cities where they operate. The Eco-Island Community Interest Company on the Isle of Wight are applying similar concepts to the supply and demand of renwable energy.

Some of the common technologies that enable these solutions at appropriate levels of cost and complexity, are:

3. Co-ordinating the behaviour of multiple systems to contribute to city-wide outcomes

Many city systems are “silos” that have developed around engineering infrastructures or business and operational models that have evolved since city infrastructures were first laid down. In developed markets, those infrastructures may be more than a century old – London’s underground railway was constructed in the mid 19th Century, for example.

But the “outcomes” sought by cities, neighbourhoods and communities – such as social mobility, economic growth, wellbeing and happiness, safety and sustainability – are usually a consequence of a complex mix of effects of the behaviour of many of those systems – energy, economy, transport, healthcare, retail, education, policing and so on.

As information about the operation and performance of those systems becomes increasingly available; and as our ability to make sense of and exploit that information increases; we can start to analyse, model and predict how the behaviour of city systems affects each other, and how those interactions contribute to the overall outcomes of cities, and of the people and communities in them.

IBM’s recent “Smarter Cities Challenge” in my home city of Birmingham studied detailed maps of the systems in the city and their inputs and outputs, and helped Birmingham City Council understand how to developed those maps into a tool to predict the outcomes of proposed policy changes. In the city of Portland, Oregon, a similar interactive tool has already been produced. And Amsterdam and Dublin have both formed regional partnerships to share and exploit city information and co-ordinate portfolios of projects across city systems and agencies driven by common, city-wide objectives.

(A video describing the “systems dynamics” project carried out by IBM in Portland, Oregon to model the interactions between city systems)

We are in the very early stages of developing our ability to quantitatively understand the interrelationships between city systems in this way; but it is already possible to identify some of the technologies that will assist us in that process – in addition to those I mentioned in the previous section:

  • Cloud computing platforms, which enable data from multiple city systems to be co-located on a single infrastructure; and that can provide the “capacity on demand” to apply analytics and visualisation to that data when required.
  • Information and transaction integration technologies which join up data from multiple sources at a technical level; including master data management, and Service Orientated Architecture.
  • Information models for city systems that model the quantitative and semantic relationships between those systems.
  • Service brokerage capabilities to co-ordinate the behaviour of the IT systems that monitor and control city systems; and the service and data catalogues that make those systems and their information available to those brokers.
  • Federated security and identity management to enable citizens and city workers to seamlessly interact with services and information across city systems.
  • Dashboards and other user interface technologies which can present information and services from multiple sources to humans in an understandable and meaningful way.

4. Creating new marketplaces to encourage sustainable choices, and attract investment

As I’ve argued on many occasions on this blog, it is often important or useful to conceive of Smarter City solutions as marketplaces. Such thinking encourages us to consider how the information associated with city services can be used to influence individual choices and their collective impact; and the money-flows in marketplaces can be used to create business cases to support investment in new infrastructure.

The examples in transport innovation that I mentioned earlier in this article, Shutl and Carbon Voyage, can both be thought of as business that exploit information to operate new marketplaces for transport capacity. Eco-island have applied the same concept in energy; Streetline in car-parking; and Big Barn and Sustaination in business-to-consumer and business-to-business models for food distribution.

In addition to those I’ve previously described, systems that operate as transactional marketplaces often involve the following technologies:

Conversations, paper, technology

The articles I write on this blog cover many aspects of technology, future cities, and urbanism. In several recent articles, including this one, I have focussed in particular on issues concerning the application of technology to city systems.

I believe these issues are important. It is inarguable that technology has been changing our world since human beings first used tools; and overall the rate of change has been accelerating ever since. That acceleration has been particularly rapid in the past few decades. The fact that this blog, which costs me nothing to write other than my own time, has been read by people from 117 countries this year – including you – is just one very mundane example of something that would have been completely unthinkable when I started my University education.

But I absolutely do not want to give the impression that technology is the most important element of the future of cities; or that every “Smarter City” project requires all – or even any – of the technologies that I’ve described in this article.

Cities are about people; life is about people. Nothing matters unless it matters to people. In themselves, these are obvious statements; but consequently, our future cities will be successful only if they are built by consensus to meet the needs of all of the people who inhabit them. “Smarter” solutions will only achieve their objectives if they are designed and implemented so as to seamlessly integrate into the fabric of our lives. And sometimes the simplest ideas, using the simplest technology – or no technology at all – will be the most powerful.

Smarter Cities start with conversations between people; conversations build trust and understanding, and lead to the creation of new ideas. Many of those ideas are first shaped on pen and paper – often still the least invasive technology for co-creating and recording information that we have. Some of those ideas will be realised through the application of more recent technologies – and in fact will only be possible at all because of them. That is the real value that new technology brings to the future of cities.

But it’s important to get the order right, or we will not achieve the outcomes that we need. Conversations, paper, technology – that might just be the real roadmap for Smarter Cities.

(I would like to thank Steven Boxall for his comments on a previous article on this blog, “No-one is going to pay cities to become Smarter“, in the Academy of Urbanism‘s discussion group on Linked-In. Those comments helped me to shape the balance that I hope that I have achieved in this article between the roles that technology, people and conversations will play in creating the future of our cities).

Why Open City Data is the Brownfield Regeneration Challenge of the Information Age

(Graphic of New York’s ethnic diversity from Eric Fischer)

I often use this blog to explore ways in which technology can add value to city systems. In this article, I’m going to dig more deeply into my own professional expertise: the engineering of the platforms that make technology reliably available.

Many cities are considering how they can create a city-wide information platform. The potential benefits are considerable: Dublin’s “Dublinked” platform, for example, has stimulated the creation of new high-technology businesses, and is used by scientific researchers to examine ways in which the city’s systems can operate more efficiently and sustainably. And the announcements today by San Francisco that they are legislating to promote open data and have appointed a “Chief Data Officer” for the city are sure to add to the momentum.

But if cities such as Dublin, San Francisco and Chicago have found such platforms so useful, why aren’t there more of them already?

To answer that question, I’d like to start by setting an expectation:

City information platforms are not “new” systems; they are a brownfield regeneration challenge for technology.

Just as urban regenerations need to take account of the existing physical infrastructures such as buildings, transport and utility networks; when thinking about new city technology solutions we need to consider the information infrastructure that is already in place.

A typical city authority has many hundreds of IT systems and applications that store and manage data about their city and region. Private sector organisations who operate services such as buses, trains and power, or who simply own and operate buildings, have similarly large and complex portfolios of applications and data.

So in every city there are thousands – probably tens of thousands – of applications and data sources containing relevant information. (The Dublinked platform was launched in October 2011 with over 3,000 data sets covering the environment, planning, water and transport, for example). Only a very small fraction of those systems will have been designed with the purpose of making information available to and usable by city stakeholders; and they certainly will not have been designed to do so in a joined-up, consistent way.

(A map of the IT systems of a typical organisation, and the interconnections between then)

The picture to the left is a reproduction of a map of the IT systems of a real organisation, and the connections between them. Each block in the diagram represents a major business application that manages data; each line represents a connection between two or more such systems. Some of these individual systems will have involved hundreds of person-years of development over decades of time. Engineering the connections between them will also have involved significant effort and expense.

Whilst most organisations improve the management of their systems over time and sometimes achieve significant simplifications, by and large this picture is typical of the vast majority of organisations today, including those that support the operation of cities.

In the rest of this article, I’ll explore some of the specific challenges for city data and open data that result from this complexity.

My intention is not to argue against bringing city information together and making it available to communities, businesses and researchers. As I’ve frequently argued on this blog, I believe that doing so is a fundamental enabler to transforming the way that cities work to meet the very real social, economic and environmental challenges facing us. But unless we take a realistic, informed approach and undertake the required engineering diligence, we will not be successful in that endeavour.

1. Which data is useful?

Amongst those thousands of data sets that contain information about cities, on which should we concentrate the effort required to make them widely available and usable?

That’s a very hard question to answer. We are seeking innovative change in city systems, which by definition is unpredictable.

One answer is to look at what’s worked elsewhere. For example, wherever information about transport has been made open, applications have sprung up to make that information available to travellers and other transport users in useful ways. In fact most information that describes the urban environment is likely to quickly prove useful; including maps, land use characterisation, planning applications, and the locations of shops, parks, public toilets and other facilities .

The other datasets that will prove useful are less predictable; but there’s a very simple way to discover them: ask. Ask local entrepreneurs what information they need to start new businesses. Ask existing businesses what information about the city would help them be more successful. Ask citizens and communities.

This is the approach we have followed in Sunderland, and more recently in Birmingham through the Smart City Commission and the recent “Smart Hack” weekend. The Dublinked information partnership in Dublin also engages in consultation with city communities and stakeholders to prioritise the datasets that are made available through the platform. The Knight Foundation’s “Information Needs of Communities” report is an excellent explanation of the importance of taking this approach.

2. What data is available?

How do we know what information is contained in those hundreds or thousands of data sets? Many individual organisations find it difficult to “know what they know”; across an entire city the challenge is much harder.

Arguably, that challenge is greatest for local authorities: whilst every organisation is different, as a rule of thumb private sector companies tend to need tens to low hundreds of business systems to manage their customers, suppliers, products, services and operations. Local authorities, obliged by law to deliver hundreds or even thousands of individual services, usually operate systems numbering in the high hundreds or low thousands. The process of discovering, cataloguing and characterising information systems is time-consuming and hence potentially expensive.

The key to resolving the dilemma is an open catalogue which allows this information to be crowdsourced. Anyone who knows of or discovers a data source that is available, or that could be made available, and whose existence and contents are not sensitive, can document it. Correspondingly, anyone who has a need for data that they cannot find or use can document that too. Over time, a picture of the information that describes a city, including what data is available and what is not, will build up. It will not be a complete picture – certainly not initially; but this is a practically achievable way to create useful information.

3. What is the data about?

The content of most data stores is organised by a “key” – a code that indicates the subject of each element of data. That “key” might be a person, a location or an organisation. Unfortunately, all of those things are very difficult to identify correctly and in a way that will be universally understood.

For example, do the following pieces of information refer to the same people, places and organisations?

“Mr. John Jones, Davis and Smith Delicatessen, Harbourne, Birmingham”
“J A Jones, Davies and Smythe, Harborne, B17”
“The Manager, David and Smith Caterers, Birmingham B17”
“Mr. John A and Mrs Jane Elizabeth Jones, 14 Woodhill Crescent, Northfield, Birmingham”

This information is typical of what might be stored in a set of IT systems managing such city information as business rates, citizen information, and supplier details. As human beings we can guess that a Mr. John A Jones lives in Northfield with his wife Mrs. Jane Elizabeth Jones; and that he is the manager of a delicatessen called “Davis and Smith” in Harborne which offers catering services. But to derive that information we have had to interpret several different ways of writing the names of people and businesses; tolerate mistakes in spelling; and tolerate different semantic interpretations of the same entity (is “Davis and Smith” a “Delicatessen” or a “Caterer”? The answer depends on who is asking the question).

(Two views of Exhibition Road in London, which can be freely used by pedestrians, for driving and for parking; the top photograph is by Dave Patten. How should this area be classified? As a road, a car park, a bus-stop, a pavement, a park – or something else? My colleague Gary looks confused by the question in the bottom photograph!)

All of these challenges occur throughout the information stored in IT systems. Some technologies – such as “single view” – exist that are very good at matching the different formats of names, locations and other common pieces of information. In other cases, information that is stored in “codes” – such as “LHR” for “London Heathrow” and “BHX” for “Birmingham International Airport” can be decoded using a glossary or reference data.

Translating semantic meanings is more difficult. For example, is the A45 from Birmingham to Coventry a road that is useful for travelling between the two cities? Or a barrier that makes it difficult to walk from homes on one side of the road to shops on the other? In time semantic models of cities will develop to systematically reconcile such questions, but until they do, human intelligence and interpretation will be required.

4. Sometimes you don’t want to know what the data is about

Sometimes, as soon as you know what something is about, you need to forget that you know. I led a project last year that applied analytic technology to derive new insights from healthcare data. Such data is most useful when information from a variety of sources that relate to the same patient is aggregated together; to do that, the sort of matching I’ve just described is needed. But patient data is sensitive, of course; and in such scenarios patients’ identities should not be apparent to those using the data.

Techniques such as anonymisation and aggregation can be applied to address this requirement; but they need to be applied carefully in order to retain the value of data whilst ensuring that identities and other sensitive information are not inadvertently exposed.

For example, the following information contains an anonymised name and very little address information; but should still be enough for you to determine the identity of the subject:

Subject: 00764
Name: XY67 HHJK6UB
Address: SW1A
Profession: Leader of a political party

(Please submit your answers to me at @dr_rick on Twitter!)

This is a contrived example, but the risk is very real. I live on a road with about 100 houses. I know of one profession to which only two people who live on the road belong. One is a man and one is a woman. It would be very easy for me to identify them based on data which is “anonymised” naively. These issues become very, very serious when you consider that within the datasets we are considering there will be information that can reveal the home address of people who are now living separately from previously abusive partners, for example.

5. Data can be difficult to use

(How the OECD identified the “Top 250 ICT companies” in 2006)

There are many, many reasons why data can be difficult to use. Data contained within a table within a formatted report document is not much use to a programmer. A description of the location of a disabled toilet in a shop can only be used by someone who understands the language it is written in. Even clearly presented numerical values may be associated with complex caveats and conditions or expressed in quantities specific to particular domains of expertise.

For example, the following quote from a 2006 report on the global technology industry is only partly explained by the text box shown in the image on the left:

“In 2005, the top 250 ICT firms had total revenues of USD 3 000 billion”.

(Source: “Information Technology Outlook 2006“, OECD)

Technology can address some of these issues: it can extract information from written reports; transform information between formats; create structured information from written text; and even, to a degree, perform automatic translation between languages. But doing all of that requires effort; and in some cases human expertise will always be required.

In order for city information platforms to be truly useful to city communities, then some thought also needs to be given for how those communities will be offered support to understand and use that information.

6. Can I trust the data?

Several British banks have recently been fined hundreds of millions of dollars for falsely reporting the interest rates at which they are able to borrow money. This information, the “London InterBank Offered Rate” (LIBOR) is an example of open data. The Banks who have been fined were found to have under-reported the interest rate at which they were able to borrow – this made them appear more creditworthy than they actually were.

Such deliberate manipulation is just one of the many reasons we may have to doubt information. Who creates information? How qualified are they to provide accurate information? Who assesses that qualification and tests the accuracy of the information?

For example, every sensor which measures physical information incorporates some element of uncertainty and error. Location information derived from Smartphones is usually accurate to within a few meters when derived from GPS data; but only a few hundred meters when derived by triangulation between mobile transmission masts. That level of inaccuracy is tolerable if you want to know which city you are in; but not if you need to know where the nearest cashpoint is. (Taken to its extreme, this argument has its roots in “Noise Theory“, the behaviour of stochastic processes and ultimately Heisenberg’s Uncertainty Principle in Quantum Mechanics. Sometimes it’s useful to be a Physicist!).

Information also goes out of date very quickly. If roadworks are started at a busy intersection, how does that affect the route-calculation services that many of us depend on to identify the quickest way to get from one place to another? When such roadworks make bus stops inaccessible so that temporary stops are erected in their place, how is that information captured? In fact, this information is often not captured; and as a result, many city transport authorities do not know where all of their bus stops are currently located.

I have barely touched in this section on an enormously rich and complex subject. Suffice to say that determining the “trustability” of information in the broadest sense is an immense challenge.

7. Data is easy to lose

(A computer information failure in Las Vegas photographed by Dave Herholz)

Whenever you find that an office, hotel room, hospital appointment or seat on a train that you’ve reserved is double-booked you’ve experienced lost data. Someone made a reservation for you in a computer system; that data was lost; and so the same reservation was made available to someone else.

Some of the world’s most sophisticated and well-managed information systems lose data on occasion. That’s why we’re all familiar with it happening to us.

If cities are to offer information platforms that local people, communities and businesses come to depend on, then we need to accept that providing reliable information comes at a cost. This is one of the many reasons that I have argued in the past that “open data” is not the same thing as “free data”. If we want to build a profitable business model that relies on the availability of data, then we should expect to pay for the reliable supply of that data.

A Brownfield Regeneration for the Information Age

So if this is all so hard, should we simply give up?

Of course not; I don’t think so, anyway. In this article, I have described some very significant challenges that affect our ability to make city information openly available to those who may be able to use it. But we do not need to overcome all of those challenges at once.

Just as the physical regeneration of a city can be carried out as an evolution in dialogue and partnership with communities, as happened in Vancouver as part of the “Carbon Talks” programme, so can “information regeneration”. Engaging in such a dialogue yields insight into the innovations that are possible now; who will create them; what information and data they need to do so; and what social, environmental and financial value will be created as a result.

That last part is crucial. The financial value that results from such “Smarter City” innovations might not be our primary objective in this context – we are more likely to be concerned with economic, social and environmental outcomes; but it is precisely what is needed to support the financial investment required to overcome the challenges I have discussed in this article.

On a final note, it is obviously the case that I am employed by a company, IBM, which provides products and services that address those challenges. I hope that you have noticed that I have not mentioned a single one of those products or services by name in this article, nor provided any links to them. And whilst IBM are involved in some of the cities that I have mentioned, we are not involved in all of them.

I have written this article as a stakeholder in our cities – I live in one – and as an engineer; not as a salesman. I am absolutely convinced that making city information more widely available and usable is crucial to addressing what Professor Geoffrey West described as “the greatest challenges that the planet has faced since humans became social“. As a professional engineer of information systems I believe that we must be fully cognisant of the work involved in doing so properly; and as a practical optimist, I believe that it is possible to do so in affordable, manageable steps that create real value and the opportunity to change our cities for the better. I hope that I have managed to persuade you to agree.

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