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.

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.

Little/big; producer/consumer; and the story of the Smarter City

(Photo of me wearing the Emotiv headset)

(Photo of me wearing the Emotiv headset)

I have a four year old son. By the time I die he’ll be about my age if I’m lucky.

If I could see him now as he will be then; I would struggle to recognise his interactions with the world as human behaviour in the terms I am used to understanding it.

When he was two years old, I showed him a cartoon on the touchscreen tablet I’d just bought. When it finished, he pressed the thumbnail of the cartoon he wanted to watch next.

The implications of that instinctive and correct action are profound, and mark the start of the disappearance of the boundary between information and the physical world.

Just as the way that we communicate with each other has changed increasingly rapidly from the telephone to e-mail to social media; so the way that we interact with information systems will transform out of all recognition as technology evolves beyond the keyboard, mouse and touchscreen.

The Emotiv headset I’m wearing in the photo above can interpret patterns in the magnetic waves created by my thoughts as simple commands that can be understood by computers. My thoughts can influence the world of information; and they can even be captured as images, as shown in this recent work using Magnetic Resonance Imaging (MRI).

And information can influence the physical world. From control technology implanted in the muscles of insects; to prosthetic limbs and living tissues that are created from digital designs by general-purpose 3D printers. As the way we interact with information systems and use them to affect the world around us becomes so natural that we’re barely conscious of it, the Information Revolution will change our world in ways that we are only beginning to imagine.

These technologies offer striking possibilities; and we face striking challenges. The two will come together where the activity of the world is most concentrated: in cities.

In the last revolution, the Industrial Revolution, we built the centres of cities upwards around lifts powered by the steam engine invented by James Watt and commercialised by Matthew Boulton in Birmingham. In the last century we expanded them outwards around the car as we became used to driving to work, shops, parks and schools.

(Photo of 3D printer by Media Lab Prado)

We believe we can afford a lifestyle based on driving cars because its long-term social and environmental costs are not included in its financial price. But as the world’s population grows towards 9 billion by 2050, mostly in cities that are becoming more affluent in what it’s increasingly inaccurate to call “emerging economies”; that illusion will be shattered.

We’re already paying more for our food and energy as a proportion of income. That’s not because we’re experiencing a “double-dip recession”; it’s because the structure of the economy is changing. There is more competition for grain to feed the world’s fuel and food needs; and droughts caused by climate change are increasing uncertainty in it’s supply.

We have choices to make. Do we consume less? Can we use technology to address the inefficiencies of supply chains which waste almost half the food they produce whilst transporting it thousands of miles around the world, without disrupting them and endangering the billions of lives they support? Or do we disintermediate the natural stages of food supply by growing artificial meat in laboratories?

These choices go to the heart of our relationship with the natural world; what it means to be human; and to live in an ethical society. I think of a Smarter City as one which is taking those choices successfully; and using technology to address its challenges in a way that is both sustainable, and sympathetic to us as human beings and as communities.

Three trends are appearing across technology, urbanism, and the research of resilient systems to show us how to do that. The first is for little things and big things to work constructively together.

The attraction of opposites part 1: little and big

(Photo of Masshouse Circus, Birmingham, before its redevelopment, by Birmingham City Council)

(Photo of Masshouse Circus, Birmingham, before its redevelopment, by Birmingham City Council)

Some physical interventions in cities have been “blunt”. Birmingham’s post-war economy needed traffic to be able to circulate around the city centre; but the resulting ringroad strangled it, until it was knocked down a decade ago. It didn’t meet the needs of individuals and communities within the city to live and interact.

By contrast, Exhibition road in London – a free-for-all where anyone can walk, drive, sit, park or catch a bus, anywhere they like – knits the city together. Elevated pedestrian roundabouts and city parks similarly provide infrastructures that support fluid movement by people cycling and walking; modes of transport in which it is easy to stop and interact with the city.

These big infrastructures are compatible with the life of the little people who inhabit the city around them; and who are the reason for its existence.

The same concepts apply to technology infrastructures.

Technology offers great promise in cities. We can collect data from people and infrastructures – the movement of cars, or the concentration of carbon dioxide. We can aggregate that data to provide information about city systems – how fast traffic is moving, or the level of carbon emissions of buildings. And we can draw insight from that information into the performance of cities – the impacts of congestion on GDP, and of environmental quality on life expectancy.

Cities are deploying mobile and broadband infrastructures to enable the flow of this data; and “open data” platforms to make it available to developers and entrepreneurs for them to explore new business opportunities and develop novel urban services.

But how does deploying broadband infrastructure in a poor neighbourhood create growth if the people who live there can’t afford subscriptions to it? Or if businesses there don’t have access to computer programming skills?

Connectivity and open data are the “big infrastructures” of the information age; how do we ensure that they are properly adapted to the “little” needs of individual citizens, businesses and communities?

We will do that by concerning ourselves with people and places, rather than information and infrastructures.

(Delay times at traffic junctions visualised by the Dublinked city information partnership.)

(Delay times at traffic junctions visualised by the Dublinked city information partnership)

Where civic information infrastructures are successful in creating economic and social growth, they are not deployed; they are co-created in a process of listening and learning between city institutions; businesses; communities; and individuals.

This process requires us to visit new places, such as the “Container City” incubation facility for social enterprise in Sunderland; to learn new languages; and understand different systems of value, such as the “triple bottom line” of social, environmental and financial capital.

If we design infrastructures by listening to and then enabling ideas, then we put the resources of big institutions and companies into the hands of people and businesses in a way that makes it less difficult to create many, more effective “little” innovations in hyper-local contexts – the “Massive Small” change first described by Kelvin Campbell.

By following this process, Dublin’s “Dublinked” partnership between the City and surrounding County Councils; the National University of Ireland, businesses and entrepreneurs is now sharing 3,000 city datasets; using increasingly sophisticated tools to draw value from them; identifying new ways for the city’s transport, energy and water systems to work; and starting new, viable, information-based businesses.

As a sustained process, these conversations and the trust they create form a “soft infrastructure” for a city, connecting it’s little and big inhabitants.

This soft infrastructure is what turns civic information into services that can become part of the fabric of life of cities and communities; and that can enable sustainable growth by weaving information into that fabric that describes the impact of choices that are about to be made.

(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.)

For example, a project in San Francisco used algorithms that are capable of predicting traffic speeds and volume in the city one hour into the future with 85% accuracy. These algorithms were developed in a project in Singapore, where the resulting predictions were made available to traffic managers, so that they could set lane priorities and traffic light sequences to attempt to prevent any predicted congestion.

But in California, the predictions were made available instead to individual commuters who where told in advance the likely duration of their journey each day, including the impact of any congestion that would develop whilst the journey was underway. This gave them a new opportunity to take an informed choice: to travel at a different time; by a different route or mode; or not to travel at all.

The California project shows that it’s far more powerful to use the information resulting from city data and predictive algorithms not to influence a handful of traffic managers who respond to congestion; but to influence the hundreds or thousands of individual travellers who create it; and who have the power to choose not to create it.

And in designing information systems such as this, we can appeal not just to selfish interests, but to our sense of community and place.

A project in Dubuque, Iowa uses Smart water meters to tell householders whether they are using domestic appliances efficiently; and can detect weak underlying signals that indicate leaks. People who are given this information can choose to act on it; and to a certain extent, they do.

But something remarkable happened in a control group who were also given a “green points” score comparing their water efficiency to that of their neighbours. They were literally twice as likely to improve their water efficiency as people who were only told about their own water use.

Maslow’s hierarchy of needs tells us that once the immediate physical needs of our families are secured, our motivations are next driven by our relationships with the people around us. Technology gives us the ability to design new information-based services that appeal directly to those values, rather than to more distant general environmental concerns.

The attraction of opposites part 2: producer and consumer

(Photo of 3D-printed objects by Shapeways)

This information is at our fingertips; we are its producers and consumers. For the last decade, we have used and created it when we share photos in social media or buy and sell in online marketplaces.

But the disappearance of the boundaries between information systems, the physical world and our own biology means that it is not just information that we will be producing and consuming in the next decade, but physical goods and services too.

As a result, new peer-to-peer markets can already be seen in food production; parking spaces; car journeys; the manufacture of custom objects; and the production of energy from sources such as bio-matter and domestic solar panels.

Of course, we have all been producers and consumers since humans first began to farm and create societies with diversified economies. What’s new is the ability of technology to dramatically improve the flexibility, timeliness and efficiency of interactions between producers and consumers; creating interactions that are more sustainable than those enabled by conventional supply chains.

Even more tantalising is the possibility of using new rates of exchange in those transactions.

In Switzerland, a complementary currency, the Wir, has contributed to economic stability over the last century by allowing some debt repayments to be bartered locally when they cannot be repaid in universal currency. And last year, Bristol became the 5th UK town or city to operate its own currency.

These currencies are increasingly using advanced technologies, such as the “Droplet” smartphone payment scheme now operating in Birmingham and London. This combination of information technology and local currencies could be used to calculate rates of exchange that compare the complete social, environmental and economic cost of goods and services to their immediate, contextual value to the participants in the transaction.

That really could create a market infrastructure to support Smarter, sustainable, and more equitable city systems; and it sounds like a great idea to me.

But if it’s such a good idea, why aren’t markets based on it ubiquitous already?

Collaborative governance; and better stories for Smarter Cities

(Stories of Mumbai: an exploration of Mumbai’s history of urban development, and its prospects for the future, using storytelling and puppetshows, by the BMW Guggenheim Lab)

If we are going to use the technologies and ideas I’ve described to transform cities, then technologists like me need to learn from the best of urbanism.

Jan Gehl taught us to design liveable cities not by considering the buildings in them; but how people use the spaces between buildings.

In Smarter Cities our analogous challenge is to concentrate not only on information infrastructures and the financial efficiencies that they provide; not least because “Smart” ideas cut across city systems, and so gains in efficiency don’t always reward those who invest in infrastructure.

Our objective instead is to create the harder to quantify personal, social and environmental value that results when those infrastructures enable people to afford to eat better food or to heat their homes properly in winter; to access affordable transport to places of employment; and to live longer, independent lives as productive contributors to their communities.

These are the stories we need to tell about Smarter Cities.

These stories are of vital importance because the third trend we observe is that cities only really get smarter when their leaders and communities coordinate the use of public and private assets to achieve a collective vision of the future, and to secure external investment in it.

Doing so needs the commitment not just of the owners and managers of those assets, but of the shareholders, voters, employees and other stakeholders that they are accountable to.

To win the commitment of such a broad array of people we need to appeal to common instincts: our understanding of narrative, and our ability to empathise. Ultimately we will need the formal languages of finance and technology, but they are not where we should start.

DDespommier

(Dickson Despommier, inventor of the vertical farm, speaking at TEDxWarwick 2013)

It’s imperative that we tell these stories to inspire the evolution of our cities. The changes in coming decades will be so fast and so profound that cities that do not embrace them successfully will suffer severe decline.

Luckily, our ability to respond successfully to those changes depends on a technology that is freely available: language, used face to face in conversations. I can’t think of a more essential challenge than to use it to tell stories about how our world can be come smarter, fairer, and more sustainable.

And there’s no limit to what any one of us can achieve by doing this. Because it is collaborative governance rather than institutional authority that enables Smarter Cities, then there are no rules defining where the leadership to establish that governance will come from.

Whether you are a politician, academic, technologist, business person, community activist or simply a passionate individual; and whether your aim is to create a new partnership across a city, or simply to start an independent social enterprise within it; that leadership could come from you.

(This article is based on the script I wrote in preparation for my TEDxWarwick presentation on 13th March 2013).

Do we need a Pattern Language for Smarter Cities?

(Photo of the Athens Olympic Sports Complex from Space by the NASA Goddard Space Flight Center)

The UK Department of Business, Innovation and Skills held a workshop recently to determine how to create guidance for cities considering their approach to Smarter Cities.

A robust part of the debate centred on the challenge of providing “delivery guidance” for cities embarking on Smarter Cities initiatives: whilst there are many visions for smart and future cities; and many examples of projects that have been carried out; there is little prescriptive guidance to assist cities in defining and delivering their own strategy (although I’ve provided my own humble contribution in “Six steps to a smarter city” on this blog; an article which organises a broad set of resources into an admittedly very high level framework).

In setting out a transformative smarter city vision and then taking the steps to achieve it, a great deal of change is involved. Large, formal organisations tend to approach change with prescriptive , process-driven techniques – for all that the objective of change might be defined disruptively by individual insight and leadership or through the application of techniques such as “design thinking“; the execution of the changes required to achieve that objective is usually driven by a controlled process with well defined roles, scope, milestones, risks and performance indicators.

My own employer, IBM, is a vast organisation with over 400,000 employees; a similar number of people to the population of a city of modest size. It was the subject of one of the most famous transformations in corporate history when Lou Gerstner saved it from near-failure in the 1990s. The transformation was achieved by brilliant personal leadership; trial and error; and a variety of techniques and ideas from different sources – there was no “off-the-shelf” process to follow at this scale of organisational change.

But transforming a city is not the same thing as changing an organisation, however big. A city is a complex system of systems, and we have comparatively little knowledge about how to drive change in such an environment. Arguably,we should not even think about “driving change” in city ecosystems, but rather consider how to influence the speed and direction of the changes that will emerge from them anyway.

Some very different approaches to process-driven change 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; the “Massive / Small” concept and associated “Urban Operating System” from Kelvin Campbell and Urban Initiatives; and CHORA’s Taiwan Strait Atlas, for example have all suggested an approach that involves a “toolkit” of ideas for individuals and organisations to apply in their local context.

(In this light, it’s interesting to observe that in order to steer the ongoing growth of IBM following the transformation led by Lou Gerstner, his successor as CEO, Sam Palmisano, took the organic approach of seeking to inspire a consistent evolution of business behaviour across all 400,000 individual IBMers by co-creating and adopting a common and explicit set of “values”).

(Stories of Mumbai: an exploration of Mumbai’s history of urban development, and its prospects for the future, using storytelling and puppetshows, by the BMW Guggenheim Lab)

In “Resilience: Why Things Bounce Back“, Andrew Zolli and Ann Marie Healy, give a fascinating description of the incredible impact such approaches can achieve through the example of the response to the earthquake near Port-au-Prince in Haiti on January 10, 2010 that was led by Patrick Meier, the Ushahidi information crowd-sourcing platform and the Tufts Fletcher School of Law and Diplomacy in Massachusetts. Meier catalysed an incredible multi-national response to the earthquake that included the resources of organisations such as Thomson Reuters, Digicel (the largest mobile phone company in Haiti), and MedicMobile; and just as importantly hundreds of individuals literally spread across the world, with nothing more in common than a desire to do what they could to contribute:

“I told people, ‘We’re going to let this be emergent,’” Meier explained. “There are so many things that need to happen every single hour and so many things that need to keep evolving in such a short amount of time. I have to just let it flourish and deal with what happens when it starts getting inefficient.” The open nature of the platform – both the code that powers Ushahidi and the collaborative nature of the mapping – meant that people could easily be recruited to perform discrete, useful tasks with a minimum of formal authority.”

(Patrick Meier, quoted in “Resilience: Why Things Bounce Back“, p179, by Andrew Zolli and Ann Marie Healy)

In my own work, I’ve tried to follow a similar course, inspired first by the Knight Foundation’s report on the Information Needs of Communities. The Knight Foundation counsel a process of engagement and understanding between institutions and communities, in order to identify the specific information and resources that can be most usefully made available by city institutions to individual citizens, businesses and social organisations. As I described in “The Amazing Heart of a Smarter City: the Innovation Boundary“, the resulting portfolio provides a toolkit customised to the needs of a city, and that can be used to shape a collective case for investment in the development of that city.

The idea of a toolkit recognises both that no one approach, philosophy or framework is applicable to every city, or to every context within a single city; and that an idea that works in one place might work in many others.

For example, in the UK, the regions around the cities of Birmingham and Manchester are of similar size in terms of population and economic activity; but they are very different in the structure of their political administrations and economies. The approach that one of these cities adopts as its Smarter City strategy will not necessarily transfer to the other.

In contrast, however, specific ideas concerning economic development and the attraction of talented young people that I’ve found useful in Sunderland in the UK have been inspired by past experience in Wuxi, China and New York State; and in turn have informed initiatives in Spain, Singapore and Nairobi; in other words they have transcended contexts of vastly different size, culture and economics.

A tool that emerged from town planning in the 1970s and that was then adopted across the information technology industry in the 1980s and 1990s might just provide the approach we need to harness this information. And it’s perhaps not surprising that a tool with such provenance should become relevant at at time when the architects of information technology systems, buildings and cities are finding that they are working within a common context.

That tool is the “Design Pattern”.

A Pattern Language for Smarter Cities

(A pattern language for social software features, image by Amber Case)

The town planner Christopher Alexander invented “design patterns” in the 1970s. He addressed the challenge that many problems in planning were (and are) too large and complex for one person to consider them in their entirety at one time; and that it is hence necessary to break them down into sub-problems.

The difficulty is that it is not at all straightforward to break a problem into sub-problems that can be solved effectively in isolation from each other.

Consider city transport systems: in many cases, road management, bus operations and the rail network are the responsibility of different organisations. It “makes sense” to break up transport systems in this way because each is different; and so different organisations are better at running them effectively.

But from the perspective of the users of transport systems, it doesn’t make sense to do this. Bus and rail timetables don’t work together; cars, buses, freight vehicles, bicycles and pedestrians have conflicting requirements of road space; and the overall system does not behave as though it is designed to serve travellers consistently.

In “Notes on the Synthesis of Form” in 1969, Alexander described a mathematical technique that could be used to manage the complexity of large problems and to break them down into sub-problems in a way that accommodated interdependencies between them. As a result, those sub-problems could be solved separately from each other, then integrated to form an overall solution.

This process of decomposition, solution and integration is fundamental to process-driven approaches to the design and delivery of complex solutions. It is not possible, for example, to assign responsibilities to individuals and teams without going through it. Many projects that fail do so because the  problem that they are addressing is not decomposed effectively so that individual teams find that they have overlapping areas of responsibility and therefore experience duplication and conflict.

However, in developing his technique for decomposing problems, Alexander concluded that it was overly complex, rigid and impractical; and he recommended that it should never be used. Instead, he suggested that it was more useful to focus not on how we deal with problems; but on how we re-use successful solutions.

By identifying and characterising the components of solutions that have been proven to work, we enable them to be reused elsewhere. Christopher Alexander’s particular insight was to recognise that to do so successfully, it is vitally important to precisely describe the context in which a solution is applicable. He called the resulting description of reusable solutions a “design pattern”; and a collection of such descriptions, a “pattern language“.

Design patterns and pattern languages offer a useful combination of formal and informal approaches. They are formal in that each pattern is described in a consistent way, using a structured framework of characteristics. And they are informal in that the description isn’t constrained to that framework of characteristics; and because design patterns do not assert that they should be used: they are simply there to be used by anyone who chooses to do so.

Christopher Alexander’s patterns for town planning and architecture can be found in his books, or online at the “Pattern Language” community; in information technology, Martin Fowler’s “Enterprise Application Architecture Patterns” provide a similar example.

To my knowledge, no-one is yet curating a similar set of Smarter Cities patterns; I believe that there would be great value in doing so; and that in order to do so skills and expertise across domains such as planning, architecture, technology, social science and many others would be required.

In the final part of this article, I’d like to suggest some examples of Smarter City initiatives and ideas that I think can be usefully described as patterns; and to give one example of such a description. Please do share your views on whether this approach is useful by commenting on this blog, or through one of the Linked-In discussion groups where I’ve posted links to this article.

Design Patterns for Smarter Cities

Here are just a few of the ideas I’ve seen applied successfully in more than one place, either as part of a Smarter City strategy, or simply as valuable initiatives in their own right. It is certainly not an exhaustive list – a quick survey of Linked-In discussion Groups such as “Smart Cities and City 2.0“, “Smarter Cities” and “Smart Urbanism” will reveal many other examples that could be described in this way.

  • Information Partnerships – collaborations between city institutions, communities, service providers and research institutions to share and exploit city data in a socially and financially sustainable system. (I’ve provided a more detailed description of this example below).
  • Incubation Clouds – the use of Cloud Computing platforms and hybrid public/private commercial models to enable co-operative investment in technology capabilities that can lower the barriers to successful innovations in city services. Examples: Sunderland’s “City Cloud” and the Wuxi iPark.
  • Community Energy Initiatives – the formation of local energy companies to exploit “smart grid” technology, local energy generation (such as solar panels, wind power, wave power, geo-thermal power and bio-energy) and collaborative energy consumption to reduce carbon emissions and reliance on external energy sources. Examples: Eco-island and Birmingham Energy Savers.
  • Social Enterprises – a collective term for models of business that audit themselves against social and environmental outcomes, as well as financial sustainability and returns. Examples: co-operatives, credit unions and organisations using “triple-bottom-line” accounting.

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

In order to describe these concepts more completely as re-usable patterns; and in a way that allows them to be compared, selected in comparison to each other, or used together; it is important that they are described consistently, and in a way that accurately identifies the context in which they are applicable.

To do so requires that we describe the same aspects of each pattern; and that we describe each aspect using a common language. For example:

  • The city systems, communities and infrastructures affected; using a framework such as the “The new architecture of Smart Cities” that I described last year, shown in the diagram above.
  • The commercial operating model that makes the pattern financially sustainable.
  • The driving forces that make the pattern applicable, such as traffic congestion; persistent localised economic inactivity; the availability of local energy sources; or the need to reduce public sector spending.
  • The benefits of using the pattern; including financial, social, environmental and long-term economic benefits.
  • The implications and risks of implementing the pattern – such as the risk that consumers will not chose to change their behaviour to adopt more sustainable modes of transport; or the increasing long-term costs of healthcare implied by initiatives that raise life-expectancy by creating a healthier environment.
  • The alternatives and variations that describe how the pattern can be adapted to particular local contexts.
  • Examples of where the pattern has been applied; what was involved in making it work; and the outcomes that were achieved as a result.
  • Sources of information that provide further explanation, examples of use and guidance for implementation.

I’ll finish this article by given an example of a Smarter City pattern described in that way – the “City Information Partnership”.

(Coders at work exploiting city information at the Birmingham “Smart Hack”, photographed by Sebastian Lenton)

An Example Pattern: City Information Partnership

(Note: the following description is not intended to be written in the fluent style that I usually hope to achieve in my blog articles; instead, it is meant to illustrate the value in bringing together a set of concisely expressed ideas in a structured format).

Summary of the pattern: a collaboration between city institutions, communities, service providers and research institutions to share and exploit city data in a socially and financially sustainable system.

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: Any.
  • People: Citizens; innovators.
  • Ecosystem: All.
  • Soft infrastructures: Innovation forums; networks and community organisations.
  • City systems: Any.
  • Hard infrastructures: Information and communications technology.

Commercial operating model:

City information partnerships are often incorporated as “Special Purpose Vehicles” (SPVs) jointly owned by city institutions such as local authorities; universities; other public sector organisations such as schools, healthcare providers and emergency services; services providers such as transportation authorities and utilities; asset owners and operators such as property developers and facility managers; local employers; and private sector providers such as technology companies.

A shared initial investment in technology infrastructure is often required; and in order to address legal issues such as intellectual property rights and liability agreements.

Long-term financial sustainability is dependent on the generation of commercial revenues by licensing the use of data by commercial operations. In cases where such initiatives have been supported only by public sector or research funding, that funding has eventually been reduced or terminated leading to the stagnation or cessation of the initiative.

Soft infrastructures, hard infrastructures and assets required:

Information partnerships only succeed where they are a component of a co-creative dialogue between individuals and organisations in city institutions such as entrepreneurs, community associations, local authorities and social enterprises.

Institutional support is required to provide the models of legal liability and intellectual property ownership that create a trusted and transparent context for collaborative innovation.

Technologies such as Cloud Computing platforms; information management; security; analytics, reporting; visualisation; and data catalogues are required to manage city information and make it available and useful to end users.

Information partnerships require the participation of organisations which between them own and are prepared to make available a sufficiently broad and rich collection of datasets.

Driving forces:

Information is transforming the world’s economy; it provides new insight to support business model creation and operation; makes new products and services possible; and creates new markets.

At the same time global and local demographic trends mean that the cost-base and resource usage of city systems must change.

Information partnerships expose city information to public, private, social and academic research and innovation to discover, create and operate new models for city services; with the potential for resale elsewhere; leading in turn to economic and social growth.

(A visualisation created by Daniel X O Neil of data from Chicago’s open data portal showing the activities of paid political lobbyists and their customers in the city)

Benefits:

Community hacktivism can usually be engaged by information partnerships to create useful community “apps” such as local transport information and accessibility advice.

The creation of new information-based businesses creates local employment opportunities, and economic export potential.

Information partnerships can provide information resources for technology education in schools, colleges and universities.

New city services developed as a result of the information partnership may provide lower-carbon alternatives to existing city systems such as transportation.

Implications and risks:

If participating organisations such as local authorities include the requirement to contribute data to the information partnership in procurement criteria, then tendering organisations will include any associated costs in their proposals.

For information partnerships to be sustainable, the operating entity needs to be able to accrue and reinvest profits from licenses to exploit data commercially.

The financial returns and economic growth created by information partnerships can take time to develop.

Genuinely constructive partnerships rely on effective engagement between city institutions, businesses and communities.

Existing contracts between local authorities and service providers are unlikely to require that data is contributed to the partnership; and the costs associated with making the data associated with those services available will need to be negotiated.

Alternatives and variations:

Some organisations have provided single-party open data platforms. These can be effective – for example, the APIs offered by e-Bay and Amazon; but individual organisations within cities will rarely have a critical mass of valuable data; or the resources required to operate effective and sustained programmes of engagement with the local community.

Many advocates of open data argue that such data should be freely available. However, the majority of platforms that have made data available freely have struggled to make data available in a form that is usable; to expand the data available; to offer data at a reliable level of service; or to sustain their operations over time. Making good quality data available reliably requires effort, and that effort needs to be paid for.

Examples:

Sources of information:

The UK Open Data Institute is championing open data in the UK – http://www.theodi.org/

O’Reilly Media have published many informative articles on their “Radar” website – http://search.oreilly.com/?q=open+data&x=0&y=0&tmpl=radar

The report “Information Marketplaces: The new economics of cities” published by Arup, The Climate Group, Accenture and Horizon, University of Nottingham – http://www.arup.com/Publications/Information_Marketplaces_the_new_economics_of_cities.aspx

Finally, I have written a series of articles on this blog that explore the benefits and challenges associated with the collaborative exploitation of city information:

What next?

It has been an interesting exercise for me to write this article. Many of the ideas and examples that I have included will not be new to regular readers of this blog. But in describing the idea of an “Information Partnership” as a formal design pattern I have brought them together in a particularly focussed and organised manner. There are many, many more ideas and examples of initiatives within the Smarter Cities domain that could be described in this way; and I personally believe that it would be valuable to do so.

But my opinion on that subject is less valuable than yours. I would really appreciate your thoughts on whether the “Smarter City Design Patterns” I’ve suggested and explored in this article would be a valuable contribution to our collective knowledge.

I look forward to hearing from you.

Better stories for Smarter Cities: three trends in urbanism that will reshape our world

(Stories of Mumbai: an exploration of Mumbai’s history of urban development, and its prospects for the future, using storytelling and puppetshows, by the BMW Guggenheim Lab)

Towards the end of last year, it became clearer how cities could take practical steps to position themselves to transform to meet the increasing economic, environmental and social challenges facing them; and to seek investment to support those transformations, as I described in “Smart Ideas for Everyday Cities“.

Equally important as those practical approaches to organisation, though, are the conceptual tools that will shape those transformations. Across fields as diverse as psychology, town planning, mathematics, construction, service-design and technology, some striking common themes have emerged that are shaping those tools.

Those themes imply that we will need to take radically different approaches to city systems driven by the astonishing, exciting and sometimes disturbing changes that we’re likely to see taking place increasingly rapidly in our world over the next decade.

To adopt the terminology of Irene Ng, a Researcher in new economic models and service science at the University of Warwick, these changes will create both “needs-led” and “capability-led” drivers to do things differently.

“Needs-led” changes will be driven by the massive growth taking place in the global middle class as economies across the world modernise. The impacts will be varied and widespread, including increasing business competition in a single, integrated economy; increasing competition for resources such as food, water and energy; and increasing fragility in the systems that supply those resources to a population that is ever more concentrated in cities. We are already seeing these effects in our everyday lives: many of us are paying more for our food as a proportion of our income than a few years ago.

At a recent lecture on behalf of the International Federation for Housing and Planning and the Association of European Schools of Planning, Sir Peter Hall, Professor of Planning and Regeneration at the Bartlett School of Planning, spoke of the importance of making the growth of cities sustainable through the careful design of the transport systems that support them. In the industrial revolution, as Edward Glaeser described in Triumph of the City, cities grew up around lifts powered by steam engines; Sir Peter described how more recently they have grown outwards into suburbs populated with middle-class car-owners who habitually drive to work, schools, shops, gyms and parks.

This lifestyle simply cannot be sustained – in the developed world or in emerging economies – across such an explosively growing number of people who have the immediate wealth to afford it, but who are not paying the full price of the resources it consumes. According to the exhibition in Siemens’ “Crystal” building, where Sir Peter’s lecture was held, today’s middle class is consuming resources at one-and-a-half times the rate the world creates them; unless something changes, the rate of growth of that lifestyle will hurl us towards a global catastrophe.

So, as the Collective Research Initiatives Trust (CRIT) observed in their study of the ongoing evolution of Mumbai, “Being Nicely Messy“, the structure of movement and the economy will have to change.

(Siemens’ Crystal building in London, a show case for sustainable technology in cities, photographed by Martin Deutsch)

Meanwhile, the evolution of technology is creating incredible new opportunities for “capability-led” change.

In the last two decades, we have seen the world revolutionised by information and communication technologies such as the internet and SmartPhones; but this is only the very start of a transformation that is still gathering pace. Whilst so far these technologies have created an explosion in the availability of information, recent advances in touch-screen technology and speech recognition are just starting to demonstrate that the boundary between the information world and physical, biological and neural systems is starting to disappear.

For example, a paralysed woman recently controlled a robotic arm by thought; and prosthetic limbs, a working gun and living biological structures such as muscle fibre and skin are just some of the things that can be 3D printed on demand from raw materials and digital designs.

What changes to our urban systems will these developments – and the ones that follow them – lead to?

Following the decline of industries such as manufacturing, resource-mining and ship-building,  many post-industrial cities in the developed world are rebuilding their economies around sectors with growth potential, such as environmental technology and creative media. They are also working with the education system to provide their citizens with access to the skills those sectors require.

Supplying the skills that today’s economy needs can be a challenge. Google’s Chairman Eric Schmidt lambasted the British Education system last year for producing insufficient computer programming skills; and a cross-industry report, “Engineering the Future“, laid out the need for increased focus on environmental, manufacturing, technology and engineering skills to support future economic growth in the UK. As the rate of change in science and technology increases, the skills required in a consequently changing economy will also change more rapidly; providing those skills will be an even bigger challenge.

Or will it? How much of a leap forward is required from the technologies I’ve just described, to imagining that by 2030, people will respond to the need for changing skills in the market by downloading expertise Matrix-style to exploit new employment opportunities?

Most predictions of the future turn out to be wrong, and I’m sure that this one will be, in part or in whole. But as an indication of the magnitude of changes we can expect across technology, business, society and our own physical and mental behaviour I expect it will be representative.

Our challenge is to understand how these needs-led and capability-led transformations can collectively create a world that is sustainable; and that is sympathetic to us as human beings and communities. That challenge will be most acute where both needs and capabilities are most concentrated – in cities. And across economics, architecture, technology and human behaviour, three trends in urban thinking have emerged – or, at least, become more prominent – in recent years that provide guiding principles for how we might meet that challenge.

The attraction of opposites, part 1: producer and consumer

20120605-005134.jpg

(Photograph of 3D printers by Rob Boudon)

In the Web 2.0 era (roughly 2003-2009), the middle classes of the developed world became connected by “always-on” broadband connections, turning these hundreds of millions of information-consumers into information-producers. That is why in 2007 (and every year since) more new information was created than in all of the previous 5 millenia. Industries such as publishing, music and telecommunications have been utterly transformed as a result.

The disappearance of the boundary between  information, physical and biological systems, and the explosive growth in the population with access to the technologies responsible for that disappearance, will transform every economic and social structure we can imagine through the same producer / consumer revolution.

We can already produce as well as consume transport resources by participating in car-sharing schemes; and energy by exploiting domestic solar power and bio-energy. The falling cost and increasing sophistication of 3D printers are just starting to make it feasible to manufacture some products in the home, particularly in specialist areas such as railway modelling; and platforms such as the Amazon Turk and Slivers of Time can quickly connect producers and consumers in the service industries.

Business-to-business and business-to-consumer marketplaces such as Big Barn and Sustaination provide the same service in local food systems. And the transport industry is evolving to serve these new markets: for instance, Shutl provide a marketplace for home delivery services through a community of independent couriers; and a handful of cities are deploying or planning recycling systems in which individual items of waste are distributed to processing centres through pneumatically powered underground transport networks.

Of course, from the earliest development of farming in human culture, we have all been both producers and consumers in a diversified economy. What’s new is the opportunity for technology to dramatically improve the flexibility, timeliness and efficiency of the value-chains that connect those two roles. Car-sharing not only reduces the amount of fuel used by our journeys; it could reduce the resources consumed by manufacturing vehicles that spend the majority of their lives stationary on drives or in car parks. Markets that more efficiently connect food production, processing and consumption could reduce the thousands of miles that food currently travels between farm and fork, often crossing its own path several times; they could create employment opportunities in small-scale food processing; not to mention reducing the vast quantity of food that is produced but not eaten, and goes to waste.

Irene Ng explores these themes wonderfully in her new book, “Value and Worth: Creating New Markets in the Digital Economy“; they offer us exciting opportunities for economic and social growth, and an evolution towards a more sustainable urban future – if we can harness them in that way.

The attraction of opposites, part 2: little and big

Some infrastructures can be “blunt” instruments: from roads and railway lines which connect their destinations but which cut apart the communities they pass through; to open data platforms which provide vast quantities of data “as-is” but little in the way of information and services customised to the needs of local individuals and communities.

Architects such as Jan Gehl have argued that the design process for cities should concentrate on the life between buildings, rather than on the structure of buildings; and that cities should be constructed at a “human-scale” – medium-sized buildings, not tower-blocks and sky-scrapers; and streets that are walkable and cycle-able, not dominated by cars. In transport, elevated cycleways and pedestrian roundabouts have appeared in Europe and Asia. These structures prevent road traffic infrastructures form impeding the fluid movement of cycling and walking – transport modes which allow people to stop and interact in a city more easily and often than driving.

At a meeting held in London last year to establish the UK’s chapter to the City Protocol Society, Keith Coleman of Capgemini offered a different view by comparing the growth in size of cities to the structure of the world’s largest biological organisms. In particular, Keith contrasted the need to provide infrastructure – such as the Pando forest in Utah, a single, long-lived and vastly extensive root system supporting millions of individual trees that live, grow and die independently – with the need to provide capabilities – such as those encoded in the genes of the Neptune sea grass, which is not a single organism, but rather a genetically identical colony which collectively covers 5% of the Mediterranean sea floor.

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 CHORA’s Taiwan Strait Atlas project have all suggested an approach to urban systems that is more like the Neptune sea grass than the Pando forest: the provision of a “toolkit” for individuals and organisations to apply in their local context

My own work, initially in Sunderland, was similarly informed by the Knight Foundation’s report on the Information Needs of Communities, to which I was introduced by Conn Crawford of Sunderland City Council. It counsels for a process of engagement and understanding between city institutions and communities, in order that the resources of large organisations can be focused on providing the information and services that can be most effectively used by individual citizens, businesses and social organisations.

(The Bristol Pound, a local currency intended to encourage and reinforce local trading synergies.)

Kelvin Campbell of Urban Initiatives has perhaps taken this thinking furthest in the urban context in his concept of “Massive Small” and the “urban operating system”. Similar thinking appears throughout research on resilience in systems such as cities, coral reefs, terrorist networks and financial systems, as described by Andrew Zolli and Ann Marie Healy in “Resilience: Why Things Bounce Back“. And it is reflected in the work that many researchers and professionals across fields as diverse as city planning, economics and technology are doing to understand how institutional city systems can engage effectively with “informal” activity in the economy.

In IBM we have adapted our approach too. To take one example, a few years ago we launched our “Global Entrepreneur” programme, through which we engage directly with small, startup businesses using technology to develop what we call “Smarter Planet” and “Smarter Cities” solutions. These businesses are innovating in specific markets that they understand much better than we do; using operating models that IBM does not have. In turn, IBM’s resources can help them build more resilient solutions more quickly and cost-effectively, and reach a wider set of potential customers across the world.

A civic infrastructure that combines economics and technology and that, whilst it has a long history,  is starting to evolve rapidly, is the local currency. Last year Bristol became the fifth place in the UK to launch its own currency; whilst in Switzerland an alternative currency, the Wir, is thought to have contributed to the stability of the Swiss economy for the last century by providing an alternative, more flexible basis for debt, by allowing repayments to made in kind through bartering, as well as in currency.

Such systems can promote local economic synergy, and enable the benefits of capital fluidity to be adapted to the needs of local contexts. And from innovations in mobile banking in Africa to Birmingham’s DropletPay SmartPhone payment system, they are rapidly exploiting new technologies. They are a clear example of a service that city and economic institutions can support; and that can be harnessed and used by individuals and organisations anywhere in a city ecosystem for the purposes that are most important and valuable to them.

IMG-20121104-00606

(The Co-operative Society building at Avoncroft Museum of Historic Buildings)

Co-operative Governance

It’s increasingly obvious that on their own, traditional businesses and public and civic institutions won’t deliver the transformations that our cities, and our planet, need. The restructuring of our economy, cities and society to address the environmental and demographic challenges we face requires that social, environmental and long term economic goals drive our decisions, rather than short term financial returns alone.

Alternatives have been called for and proposed. In her speech ahead of the Rio +20 Summit, Christine Lagarde, Managing Director of the International Monetary Fund, said that one of the challenges for achieving a sustainable, equitably distributed return to growth following the recent economic challenges was that “externalities” such as social and environmental impacts are not currently included in the prices of goods and services.

I participated last year in a panel discussion at the World Bank’s “Rethinking Cities” conference which asked whether including those costs would incent consumers to chose to purchase sustainably provided goods and services. We examined several ways to create positive and negative incentives through pricing; but also examples of simply “removing the barriers” to making such choices. Our conclusion was that a combination of approaches was needed, including new ideas from game theory and technology, such as “open data”; and that evidence exists from a variety of examples to prove that consumer behaviour can and does adapt in response to well designed systems.

In “Co-op Capitalism“, Noreena Hertz proposed an alternative approach to enterprise based on social principles, where the objectives of collective endeavours are to return broad value to all of their stakeholders rather than to pay dividends to financial investors. This approach has a vital role in enabling communities across the entirety of city ecosystems to harness and benefit from technology in a sustainable way, and is exemplified by innovations such as MyDex in personal information management, Carbon Voyage in transport, and Eco-Island in energy.

New forms of cooperation have also emerged from resilience research, such as “constellations” and “articulations”. All of these approaches have important roles to play in specific city systems, community initiatives and new businesses, where they successfully create synergies between the financial, social and economic capabilities and needs of the participants involved.

But none of them directly address the need for cities to create a sustainable, cohesive drive towards a sustainable, equitable, successful future.

(Photo by Greg Marshall of the rocks known as “The Needles” just off the coast of the Isle of Wight; illustrating the potential for the island to exploit wave and tidal energy sources through the Eco-Island initiative)

In “Smart Ideas for Everyday Cities“, I described an approach that seems to be emerging from the cities that have made the most progress so far. It involves bringing together stakeholders across city systems – representatives of communities; city institutions; owners and operators of city systems and assets such as buildings, transportation and utilities; Universities and schools; and so on – into a group that can not only agree a vision and priorities for the city’s future; but that is empowered to take collective decisions accordingly.

The initiatives agreed by such a group will require individual “special purpose vehicles” (SPVs) to be created according to the specific set of stakeholder interests involved in each case – such as public/private partnerships to build infrastructure or Community Interest Companies and Energy Service Companies to operate local energy schemes. (There are some negative connotations associated with SPVs, which have been used in some cases by private organisations seeking to hide their debt or ownership; but in the Smarter Cities context they are frequently associated with more positive purposes).

Most importantly, though: where a series of such schemes and commercial ventures are initiated by a stable collaboration within a city, investors will see a reliable decision-making process and a mature understanding of shared risk and its management; making each individual initiative more likely to attract investment.

In his analysis of societal responses to critical environmental threats, Jared Diamond noted in his 2005 book “Collapse” that successful responses often emerge when choices are taken by leaders with long-term vested interests, working closely with their communities. In a modern economy, the interests of stakeholders are driven by many timescales – electoral cycles, business cycles, the presence of commuters, travellers and the transient and long-term residents of the city, for example. Bringing those stakeholders together can create a forum that transcends individual timescales, creating stability and the opportunity for a long-term outlook.

A challenge for 2013: better stories for Smarter Cities

Some cities are seizing the agenda for change that I have described in this article; and the very many of us across countries, professions and disciplines who are exploring that agenda are passionate about helping them to do so successfully.

In their report “Cities Outlook 1901“, Centre for Cities explored the previous century of urban development in the UK, examining why at various times some cities thrived and some did not. They concluded that actions taken by cities in areas such as planning, policy, skills development and economic strategy could have significant effects on their economic and social prosperity relative to others.

The need for cities to respond to the challenges and opportunities of the future using the old, new and evolving tools at their disposal is urgent. In the 20th Century, some cities suffered a gradual decline as they failed to respond successfully to the changes of their age. In the 21st Century those changes will be so striking, and take place so quickly, that failing to meet them could result in a decline that is catastrophic.

But there is a real impediment to our ability to apply these ideas in cities today: a lack of common understanding.

(Matthew Boulton, James Watt and William Murdoch, Birmingham’s three fathers of the Industrial Revolution, photographed by Neil Howard)

As the industrial and information revolutions have led our world to develop at a faster and faster pace, human knowledge has not just grown dramatically; it has fragmented to an extraordinary extent.

Consequently, across disciplines such as architecture, economics, social science, psychology, technology and all the many other fields important to the behaviour of cities, a vast and confusing array of language and terminology is used – a Tower of Babel, no less. The leaders of many city institutions and businesses are understandably not familiar with what they can easily perceive as jargon; and new ideas that appear to be presented in jargon are unlikely to be trusted.

To address the challenge, those of us who believe in these new approaches to city systems need to tell better stories about them; stories about individuals and their lives in the places where they live and work; how they will be more healthy, better equiped to support themselves, and able to move around freely in a pleasant urban environment.

Professor Miles Tight at the University of Birmingham and his colleagues in the “Visions 2030” project have applied this idea to the description of future scenarios for transportation in cities. They have created a series of visually appealing animated depictions of everyday scenes in city streets and places that could be the result of the various forces affecting the development of transport over the next 20 years. Malcolm Allan, a colleague in the Academy of Urbanism, helps cities to tell “stories about place” as a tool for envisaging their future development in a way that people can understand and identify with. And my colleagues in IBM Research have been exploring more generally how storytelling can enable the exchange of knowledge in situations where collaborative creativity is required across multiple domains of specialisation.

If we can bring our knowledge of emerging technologies and new approaches to urbanism into conversations about specific places in the form of stories, we will build trust and understanding in those places, as well as envisioning their possible futures. And that will give us a real chance of achieving the visions we create. This is what I’ll be concentrating on doing in 2013; and it looks like being an exciting year.

(It’s been much longer than usual since I last wrote an article for this blog; following an extended break over Christmas and the New Year, I’ve had a very busy start to 2013. I hope to resume my usual frequency of writing for the rest of the year.

And finally, an apology: in my remarks on the panel discussion following Sir Peter Hall’s lecture at the Crystal, I gave a very brief summary of some of the ideas described in this article. In particular, I used the term “Massive / Small” without attributing it to Kelvin Campbell and Urban Initiatives. My apologies to Kelvin, whose work and influence on my thinking I hope I have now acknowledged properly).

Looking forward to December’s Birmingham Science City Digital Working Group

(Millenium Point, home of Birmingham’s Science Museum and Birmingham City University’s Technology Innovation Centre, photographed by Martin Hartland)

Back in September, we held the last meeting of the Birmingham Science City Digital Working Group – my first meeting as chair. We were joined by many enthusiastic representatives of Birmingham and the region’s digital community – entrepreneurs, small businesses, industry interest groups, universities and companies.

We had a thought provoking discussion of how the Digital Working Group can continue to be a valued forum and a catalyst for its members to share insight, create new ideas, and discover new opportunities in the digital economy; contributing to and benefitting from the Birmingham Science City objectives to create “scientific, technological and economic advantage for wealth, opportunity and worth”. In such a challenging economy, with funding for innovation and enterprise in short supply, such exchanges can stimulate new activity by increasing awareness of the resources that are nevertheless available.

The consensus we seemed to reach was that the working group could do that by:

  • Bringing together stakeholders from our digital community who are aware of problems and challenges, and those who may be aware of solutions;
  • Focussing on emerging opportunities for technology to contribute to Birmingham Science City’s economic and social objectives, but for which the business models are not yet clear;
  • Using social media between meetings to explore specific topics within those broad criteria so that each face-to-face meeting has a clear agreed agenda beforehand;
  • And continuing to use the group to provide updates between members, and in particular an update on current opportunities to access funds and resources.

As an example of the sorts of disruptive emerging technologies we might like to consider for our focuses, I found a couple of short videos interesting recently. The first, from the Financial Times, focuses on three small businesses in Shoreditch who are combining information technology, social media and advanced manufacturing in what the FT called “Industry 2.0”; a good example of the disruptive opportunities that are created when capabilities from different sectors are converged. The second is this presentation of an idea called “being nicely messy” presented by the Collaborative Research Initiatives Trust (CRIT) to the Audi Urban Future Awards 2012; the idea tries to capture the way in which innovation emerges in unexpected forms from Mumbai’s economy and physical environment as entrepreneurs search for gaps and opportunities in the market and use whatever resources are available to them to respond. The full report of the project is worth a read, and contains these excerpts:

“New patterns of work emerged as the new entrepreneurs struggled to survive and settle. they occupied varied locations and blurred the distinction between formality and informality …

… the entrepreneurs of Mumbai have innovatively occupied city spaces maximizing their efficiency …

… the blurry / messy condition further contributes to the high transactional capacity of the urban form.”

These remarks emphasise to me the need for us to be very open in considering where innovation and opportunity might emerge from; and what form it might take. The markets, business models and technologies we know today are in many cases unrecognisable from the world of only a few years ago; we should expect any and all of our assumptions to be challenged by the innovations that emerge in the very near future.

With these thoughts and provocations in mind, I’m thinking of organising the agenda of our next meeting, which will be in early December, around the following topics:

  • Introduction and review of the last meeting
  • Update on innovation investment and support
    • An update on current trends in funding – e.g. from a local venture capitalist, or an update on tax credits for Research and Development from a Digital Working Group member
    • An update on funding and projects from Birmingham Science City
  • Introduction to the theme for the meeting
  • Provocation
    • An alternative viewpoint from Birmingham Science City – i.e. from somebody outside the usual Digital Working Group Community; and perhaps in this case from the Low Carbon Working Group, as discussed at our last meeting
  • Creative discussion:
    • How can Birmingham’s digital community exploit this theme, and how can the Digital Working Group help?
  • Next steps, and discussion of the agenda for the next meeting

(Matthew Boulton, James Watt and William Murdoch, Birmingham’s three fathers of the Industrial Revolution, photographed by Neil Howard)

So what should our “theme” be?

In our last meeting we agreed that the area of Low Carbon technology was an interesting one for us to explore; and there are already interesting initiatives underway in that area in Birmingham, such as the “Birmingham Energy Savers” project, and the European Bio-Energy Research Institute, who are seeking to establish a regional supply chain of SMEs to support their work to develop small-scale, sustainable technology for recovering energy from waste food and sewage.

So my suggested theme is:

“How can the Birmingham Science City Digital Working Group create or stimulate innovation using digital technology to contribute to a low carbon economy – whether in the transport and energy sectors or elsewhere?”

If the Digital Working Group is able to do that, it could help Birmingham’s economy access the investment resources available to support low carbon innovation; potentially assisting in the creation of jobs, as well as lowering the city’s carbon footprint and improving its physical environment.

This discussion, in fact, reminds me of some important statements in Birmingham Science City’s Constitution; the constitution states that Birmingham Science City should stimulate collaborative innovation in using science and technology to create wealth, opportunity and worth by:

“Developing activities that increase public appreciation of the application of Science & Technology and the economic, employment and quality of life benefits that it can bring.”

and:

“Encouraging collective maintenance and development of resources for innovation including finance and physical infrastructure.”

I’d like this suggestion to be the start of a discussion; hence I’m making it in this public forum, and posting links to it in several discussion groups on Linked-In as well as sending it to the Digital Working Group members by e-mail.

I look forward to hearing from the Digital Working Group members – or any other interested parties – for comments and feedback to my proposal for the next meeting.

Can cities break Geoffrey West’s laws of urban scaling?

(Photo of Kowloon by Frank Müller)

As I mentioned a couple of weeks ago, I recently read Geoffrey West’s fascinating paper on urban scaling laws, “Growth, innovation, scaling and the pace of life in cities“.

The paper applies to cities techniques that I recall from my Doctoral studies in the Physics and Engineering of Superconducting Devices for studying the emergent properties of self-organising complex systems.

Cities, being composed of 100,000s or millions of human beings with free-will who interact with each other, are clearly examples of such complex systems; and their emergent properties of interest include economic output, levels of crime, and expenditure on maintaining and expanding physical infrastructures.

It’s a less intimidating read than it might sound, and draws fascinating conclusions about the relationship between the size of city populations; their ability to create wealth through innovation; sustainability; and what many of us experience as the increasing speed of modern life.

I’m going to summarise the conclusions the paper draws about the characteristics and behaviour of cities; and then I’d like to challenge us to change them.

Professor West’s paper (which is also summarised in his excellent TED talk) uses empirical techniques to present fascinating insights into how cities have performed in our experience so far; but as I’ve argued before, such conclusions drawn from historic data do not rule out the possibility of cities achieving different levels of performance in the future by undertaking transformations.

That potential to transform city performance is vitally important in the light of West’s most fundamental finding: that the largest, densest cities currently create the most wealth most efficiently. History shows that the most successful models spread, and in this case that could lead us towards the higher end of predictions for the future growth of world population in a society dominated by larger and larger megacities supported by the systems I’ve described in the past as “extreme urbanism“.

I personally don’t find that an appealing vision for our future so I’m keen to pursue alternatives. (Note that Professor West is not advocating limitless city growth either; he’s simply analysing and reporting insights from the available data about cities, and doing it in an innovative and important way. I am absolutely not criticising his work; quite the oppostite – I’m inspired by it).

So here’s an unfairly brief summary of his findings:

  • Quantitative measures of the creative performance of cities (such as wealth creation or the number of patents and inventions generated by city populations) – grow faster and faster the more that city size increases.
  • Quantitative measures of the cost of city infrastructures grow more slowly as city size increases, because bigger cities can exploit economies of scale to grow more cheaply than smaller cities.

West found that these trends were incredibly consistent across cities of very different sizes. To explain the consistency, he drew an analogy with biology: for almost all animals, characteristics such as metabolic rate and life expectancy vary in a very predictable way according to the size of the animal.

(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 reason for this is that the performance of the thermodynamic, cardio-vascular and metabolic systems that support most animals in the same way are affected by size. For example, geometry determines that the surface area of small animals is larger compared to their body mass than that of large animals. So smaller animals lose heat through their skin more rapidly than larger animals. They therefore need faster metabolic systems that convert food to replacement heat more rapidly to keep them warm. This puts more pressure on their cardio-vascular systems and in particular their heart muscles, which beat more quickly and wear out sooner. So mice don’t live as long as elephants.

Further, more complex mechanisms are also involved, but they don’t contradict the idea that the emergent properties of biological systems are determined by the relationship between the scale of those systems and the performance of the processes that support them.

Professor West hypothesised that city systems such as transportation and utilities, as well as characteristics of the way that humans interact with each other, would similarly provide the underlying reasons for the urban scaling laws he observed.

Those systems are exactly what we need to affect if we are to change the relationship between city size and performance in the future. Whilst the cardio-vascular systems of animals are not something that animals can change, we absolutely can change the way that city systems behave – in the same way that as human beings we’ve extended our life expectancy through ingenuity in medicine and improvements in standards of living. This is precisely the idea behind Smarter cities.

(A graph from my own PhD thesis showing real experimental data plotted against a theoretical prediction similar to a scaling law. Notice that whilst the theoretical prediction (the smooth line) is a good guide to the experimental data, that each actual data point lies above or below the line, not on it. In most circumstances, theory is only a rough guide to reality.)

The potential to do this is already apparent in West’s paper. In the graphs it presents that plot the performance of individual cities against the predictions of urban scaling laws, the performance of every city varies slightly from the law. Some cities outperform, and some underperform. That’s exactly what we should expect when comparing real data to an analysis of this sort. Whilst the importance of these variations in the context of West’s work is hotly contested, both in biology and in cities, personally I think they are crucial.

In my view, such variations suggest that the best way to interpret the urban scaling laws that Professor West discovered is as a challenge: they set the bar that cities should try to beat.

Cities everywhere are already exploring innovative, sustainable ways to create improvements in the performance of their social, economic and environmental systems. Examples include:

(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.)

In all of those cases, cities have used technology effectively to disrupt and transform the behaviour of urban systems. They have all lifted at least some elements of performance above the bar set by urban scaling laws. There are many more examples in cities across the world. In fact, this process has been taking place continuously for as long as cities have existed – see, for example, the recent Centre for Cities report on the development and performance of cities in the UK throughout the 20th Century.

That report contains a specific challenge for Birmingham, my home city. It shows that in the first part of the 20th Century, Birmingham outperformed many UK cities and became prosperous and successful because of the diversity of its industries – famously expressed as the “city of a thousand trades”. In the latter part of the Century, however, as Birmingham became more dependent on an automotive industry that subsequently declined, the city lost a lot of ground. Birmingham is undertaking some exciting regenerative initiatives at present – such as the City Deal that increases it’s financial independence from Central Government; the launch of a Green Commission; and investments in ultra-fast broadband infrastructure. They are vitally important in order for the city to re-create a more vibrant, diverse, innovative and successful economy.

As cities everywhere emulate successful innovations, though, they will of course reset the bar of expected performance. Cities that wish to consistently outperform others will need to constantly generate new innovations.

This is where I’ll bring in another idea from physics – the concept of a phase change. A phase change occurs when a system passes a tipping point and suddenly switches from one type of behaviour to another. This is what happens when the temperature of water in a kettle rises from 98 to 99 to 100 degrees Centigrade and water – which is heavy and stays in the bottom of the kettle – changes to steam – which is light and rises out of the kettle’s spout. The “phase change” in this example is the transformation of a volume of water from a liquid to a gas through the process of boiling.

So the big question is: as we change the way that city systems behave, will we eventually encounter a phase change that breaks West’s fundamental finding that the largest cities create the most value most efficiently? For example, will we find new technologies for communication and collaboration that enable networks of people spread across thousands of miles of countryside or ocean to be as efficiently creative as the dense networks of people living in megacities?

I certainly hope so; because unless we can break the link between the size and the success of cities, I worry that the trend towards larger and larger cities and increasing global population will continue and eventually reach levels that will be difficult or impossible to maintain. West apparently agrees; in an interview with the New York Times, which provides an excellent review of his work, he stated that “The only thing that stops the superlinear equations is when we run out of something we need. And so the growth slows down. If nothing else changes, the system will eventually start to collapse.”

But I’m an optimist; so I look forward to the amazing innovations we’re all going to create that will break the laws of urban scaling and offer us a more attractive and sustainable future. It’s incredibly important that we find them.

(I’d like to think Dr. Pam Waddell, the Director of Birmingham Science City, for her helpful comments during my preparation of this post).

How cities can exploit the Information Revolution

(This post was first published as part of the “Growth Factory” report from the thinktank TLG Lab).

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

Cities and regions in the UK face ever-increasing economic, social and environmental challenges. They compete for investment in what is now a single global economy. Demographics are changing with more than 90% of the population now living in urban areas, and where the number of people aged over 65 will double to 19 million by 2050. The resources we consume are becoming more expensive, with cities especially vulnerable to disruptions in supply.

The concept of “Smarter systems” has captured the imagination of experts as an approach to turn these challenges into opportunities for more sustainable economic and social growth; particularly in cities, where most of us live and work. Smarter systems – in cities, transportation, government and industry –can analyse the vast amounts of data being generated around us to help make more informed decisions, operate more efficiently or even predict the future.

These systems enable city planners around the world to design urban environments that promote safety, community vitality and economic growth. They can bring real-time information together from city transportation, social media, emergency services and leisure facilities to better enable cities, such as Rio de Janeiro, to manage major public events. They can enable transport systems to better manage traffic flow and reduce congestion, as in Singapore. They can stimulate economic growth by enabling small businesses to better compete for business in collaboration with regional trading partners, in systems such as that operated by the University of Warwick.

Government policies such as Open Data, personal care budgets and open public services will dramatically increase the information available to citizens to help them take well-informed decisions. This information will be rich, complex and associated with caveats and conditions. Making it usable by the broad population is an immense challenge which will not be addressed by technology alone. Data needs not only to be made available, but understandable so that it can inform better decision-making.

Where does Smarter city data come from?

Raw data for Smarter systems is derived from three sources: the city’s inhabitants, existing IT systems and readings from the physical environment.

Information from people has become more accessible with the continued spread of connected mobile devices, such as smartphones. Open Street Map, for example, provides a global mapping information service sourced from the activities of volunteers with portable satellite navigation devices. However, the quality and availability of crowd-sourced information depends on the availability and resources of volunteers, who cannot be held accountable for whether information is accurate, complete or up-to-date.

It is also important to understand data ownership and the associated privacy concerns. There is a difference between data freely and knowingly contributed by an individual for a specific purpose and information created as a side-effect of their activity – for example, the record of a person’s movements created by the GPS sensor in their smartphone.

The Open Data movement, supported by central government, will dramatically increase the availability of data from public systems. For example, efforts are underway to make NHS healthcare data available, with appropriate security measures, to Life Sciences organisations to reinforce the UK’s pre-eminent position in drug discovery research. However, the infrastructure required to make large volumes of data widely and rapidly available in a usable form will not be created for free. Until their cost is included in future government procurements – or until commercial systems of funding are created – then much data will likely only be made open on a more limited “best efforts” basis.

Furthermore, not all city data is held by public bodies. Many transportation and utility systems are owned and operated by the private sector, and it is not generally established what information they should make available, and how. Many Smarter city systems that use data from such sources are private partnerships rather than open systems.

Meanwhile, certain kinds of data are becoming far more accessible through the advancing ability of computer systems to understand human language. IBM’s Watson computer demonstrated this recently by competing and winning against world champions in the American television quiz show, Jeopardy! Wellpoint is using this kind of technology to draw insight from medical information held in similar forms. Its aim is to better tackle diseases such as cancer by empowering physicians to rapidly evaluate potential diagnoses and explore the latest supporting medical evidence. Similar technology can draw insight from case notes in social care systems, as Medway Youth Trust is doing, or from the reports of engineers maintaining roads, sewers, and other city systems.

An early “mashup” application using open data from Chicago’s police force

Information is also becoming more readily available from the physical environment. In Galway Bay, a network of underwater microphones is connected to a system that can identify and locate the sounds of dolphins and porpoises. Their location provides a dynamic indication of which parts of the Bay have the cleanest water. That information is made available to companies in the Bay to allow them to control their discharges of water; and to the fishing and leisure industries who are dependent on marine life. This Open Data approach is being used by cities across the world such as Dublin, Chicago and London as a resource for citizens and businesses.

Whilst advances in technology have lowered the cost of generating information from physical environments, challenges remain. From the perspective of a mobile telephone user, much of the UK has signal coverage. However, telephones are used one metre or more above ground level; at ground level, where many parts of our transport and utility infrastructures are located, coverage is much poorer. Additionally, mobile transmitters and receivers are relatively expensive and power-hungry. Cheaper, lower power technologies are needed to improve coverage, such as the “Weightless” standard being developed to use transmission bandwidth no-longer needed by analogue television.

Using and combining data appropriately

In order to make information from multiple sources available appropriately and usefully, several issues need to be tackled.

When computer systems are used to analyse information and take decisions, then the data formats and protocols used by those systems need to be matched. Information as simple as locations and dates may need to be converted between formats. At an engineering level, the protocols used to transmit data across cities using wired or wireless communications behave differently and require systems that integrate them.

The meaning of information from related sources also needs to be understood and adapted to context. Citizens who go shopping in wheelchairs need to know how to get between car-parks and shops with lifts, accessible public toilets and cash points. However, the computer systems of the organisations who own those facilities will encode the information separately, in ways that support their efficient management, not that support journey-planning between them.

The City of Portland in Oregon has gone further in a project to understand how information from systems across the city is related. They are now able to better predict the impact that key decisions will have on the entire city, years in advance.

Privacy and ownership of data may affect its subsequent use, often with terms and conditions in place for governing its access. Furthermore, safeguards are required to ensure that sensitive information cannot be inferred from a combination of sources. For example the location of a safe house or shelter being identified from building usage, building ownership and /or information concerning taxi journeys by the employees of particular council agencies.

The human dimension

Smarter systems will only succeed in improving cities if there is wide consumer engagement. To be of value, information will likely need to be timely and presented in a manner appropriate to consumer context. Individual behaviour will only change where personal value is derived as a result of new information being presented – a saving in time or money, or access to something of value to their family.

(Photo of traffic in Dhaka, Bangladesh, from Joisey Showa)

Many cities are experimenting with technologies that predict the future build up of traffic, by comparing real-time measurements to databases of past patterns of traffic flow. In Stockholm, this information is used by a road-use charging system that supports variable pricing. In California, commuters in a pilot project were given personalised predictions of their commuting time each day. Both systems encourage individuals to make choices based on new information.

Utility providers are exploring how information from smart meters can encourage water and energy users to change behaviour. A recent study in Dubuque, Iowa, showed that when householders were shown how their water usage compared to the average for their neighbours, they became better at conserving water – by fixing leaks, or using domestic appliances more efficiently. Skills across artistic and engineering disciplines are helping us understand how this type of information can be communicated more effectively. Many people will not want to study figures and charts on a smart meter or website; instead “ambient” information sources may be more effective – such as a glow-globe that changes colour from green to orange to red depending on household electricity use.

Systems that improve the sustainability of cities could also affect economic development. Lowering congestion through Smarter transportation schemes can improve productivity by reducing time lost by workers delayed by traffic. By making information and educational resources widely available, Smarter systems could improve access to opportunity across city communities. A city with vibrant communities of well-informed citizens may appear a more forward-looking and attractive place to live for educated professionals and, in turn, for businesses considering relocation. New York has improved its attractiveness since the 1970s by lowering the fear of crime. One of its tools is a “real-time crime centre” that brings information together from across the city in order to better react to crime and public order incidents. The system can even help to prevent crime by intelligently deploying police resources to the areas most likely to experience incidents based on past patterns of activity – on days with similar weather, transportation conditions or public events.

Success in delivering against these broader objectives is much more likely to be achieved where the cities themselves are more clearly accountable for them.

So where do we start?

Investments in Smarter systems often cut across organisations and budgets and many have objectives that are macro-economic, social and environmental, as well as financial. As such, they challenge existing accounting mechanisms. Whilst central government and the financial markets offer new investment solutions such as ethical funds, social impact bonds and city deals, so far these have not been used to fund the majority of Smarter solutions – many of which are supported by research programmes. The Technology Strategy Board’s investment in areas such as “Future Cities” and the “Connected Digital Economy” will provide a tremendous boost, but there is much to be done to assist cities in using new investment sources to fund Smarter initiatives – or to develop sustainable commercial or social-enterprise business models to deliver them.

Although progress can be driven by strong leadership, the issues of governance and fragmented budgets will need to be overcome if we are to take full advantage of the benefits technology can bring.

We live in an era of major global challenges – well described in the recent “People and the Planet” report by the Royal Society. At the same time, we have access to powerful new technologies and ideas to address them, such as those proposed by the 100 Academics who contributed essays to the book “The New Optimists”. When we focus those resources on cities, we focus on the structures in which we can have the greatest impact on the most people.

Already many forward-looking cities in the UK such as Sunderland and Birmingham are joining others around the world by investing in Smarter systems. If we can meet the technical, organisational and investment challenges, we will not only provide citizens, businesses and agencies with new choices and exciting opportunities; we’ll also position the UK economy to succeed as the Information Revolution gathers pace.

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