Smart Cities as Democratic Ecologies


Book edited by Daniel Araya: “The concept of the ‘smart city’ as the confluence of urban planning and technological innovation has become a predominant feature of public policy discourse. Despite its expanding influence, however, there is little consensus on the precise meaning of a ‘smart city’. One reason for this ambiguity is that the term means different things to different disciplines. For some, the concept of the ‘smart city’ refers to advances in sustainability and green technologies. For others, it refers to the deployment of information and communication technologies as next generation infrastructure.

This volume focuses on a third strand in this discourse, specifically technology driven changes in democracy and civic engagement. In conjunction with issues related to power grids, transportation networks and urban sustainability, there is a growing need to examine the potential of ‘smart cities’ as ‘democratic ecologies’ for citizen empowerment and user-driven innovation. What is the potential of ‘smart cities’ to become platforms for bottom-up civic engagement in the context of next generation communication, data sharing, and application development? What are the consequences of layering public spaces with computationally mediated technologies? Foucault’s notion of the panopticon, a metaphor for a surveillance society, suggests that smart technologies deployed in the design of ‘smart cities’ should be evaluated in terms of the ways in which they enable, or curtail, new urban literacies and emergent social practices….(More)”

Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life


Paper by Edward L. Glaeser et al: “New, “big” data sources allow measurement of city characteristics and outcome variables higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for the study of cities when it allows measurement of the previously opaque, or when it can be coupled with exogenous shocks to people or place. We describe a number of new urban data sources and illustrate how they can be used to improve the study and function of cities. We first show how Google Street View images can be used to predict income in New York City, suggesting that similar image data can be used to map wealth and poverty in previously unmeasured areas of the developing world. We then discuss how survey techniques can be improved to better measure willingness to pay for urban amenities. Finally, we explain how Internet data is being used to improve the quality of city services….(More)”

Urban Civics: An IoT middleware for democratizing crowdsensed data in smart societies


Hachem, Sara et al in Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI): “While the design of smart city ICT systems of today is still largely focused on (and therefore limited to) passive sensing, the emergence of mobile crowd-sensing calls for more active citizen engagement in not only understanding but also shaping of our societies. The Urban Civics Internet of Things (IoT) middleware enables such involvement while effectively closing several feedback loops by including citizens in the decision-making process thus leading to smarter and healthier societies. We present our initial design and planned experimental evaluation of city-scale architecture components where data assimilation, actuation and citizen engagement are key enablers toward democratization of urban data, longer-term transparency, and accountability of urban development policies. All of these are building blocks of smart cities and societies….(More)”

How Big Data is Helping to Tackle Climate Change


Bernard Marr at DataInformed: “Climate scientists have been gathering a great deal of data for a long time, but analytics technology’s catching up is comparatively recent. Now that cloud, distributed storage, and massive amounts of processing power are affordable for almost everyone, those data sets are being put to use. On top of that, the growing number of Internet of Things devices we are carrying around are adding to the amount of data we are collecting. And the rise of social media means more and more people are reporting environmental data and uploading photos and videos of their environment, which also can be analyzed for clues.

Perhaps one of the most ambitious projects that employ big data to study the environment is Microsoft’s Madingley, which is being developed with the intention of creating a simulation of all life on Earth. The project already provides a working simulation of the global carbon cycle, and it is hoped that, eventually, everything from deforestation to animal migration, pollution, and overfishing will be modeled in a real-time “virtual biosphere.” Just a few years ago, the idea of a simulation of the entire planet’s ecosphere would have seemed like ridiculous, pie-in-the-sky thinking. But today it’s something into which one of the world’s biggest companies is pouring serious money. Microsoft is doing this because it believes that analytical technology has finally caught up with the ability to collect and store data.

Another data giant that is developing tools to facilitate analysis of climate and ecological data is EMC. Working with scientists at Acadia National Park in Maine, the company has developed platforms to pull in crowd-sourced data from citizen science portals such as eBird and iNaturalist. This allows park administrators to monitor the impact of climate change on wildlife populations as well as to plan and implement conservation strategies.

Last year, the United Nations, under its Global Pulse data analytics initiative, launched the Big Data Climate Challenge, a competition aimed to promote innovate data-driven climate change projects. Among the first to receive recognition under the program is Global Forest Watch, which combines satellite imagery, crowd-sourced witness accounts, and public datasets to track deforestation around the world, which is believed to be a leading man-made cause of climate change. The project has been promoted as a way for ethical businesses to ensure that their supply chain is not complicit in deforestation.

Other initiatives are targeted at a more personal level, for example by analyzing transit routes that could be used for individual journeys, using Google Maps, and making recommendations based on carbon emissions for each route.

The idea of “smart cities” is central to the concept of the Internet of Things – the idea that everyday objects and tools are becoming increasingly connected, interactive, and intelligent, and capable of communicating with each other independently of humans. Many of the ideas put forward by smart-city pioneers are grounded in climate awareness, such as reducing carbon dioxide emissions and energy waste across urban areas. Smart metering allows utility companies to increase or restrict the flow of electricity, gas, or water to reduce waste and ensure adequate supply at peak periods. Public transport can be efficiently planned to avoid wasted journeys and provide a reliable service that will encourage citizens to leave their cars at home.

These examples raise an important point: It’s apparent that data – big or small – can tell us if, how, and why climate change is happening. But, of course, this is only really valuable to us if it also can tell us what we can do about it. Some projects, such as Weathersafe, which helps coffee growers adapt to changing weather patterns and soil conditions, are designed to help humans deal with climate change. Others are designed to tackle the problem at the root, by highlighting the factors that cause it in the first place and showing us how we can change our behavior to minimize damage….(More)”

Questioning Smart Urbanism: Is Data-Driven Governance a Panacea?


 at the Chicago Policy Review: “In the era of data explosion, urban planners are increasingly relying on real-time, streaming data generated by “smart” devices to assist with city management. “Smart cities,” referring to cities that implement pervasive and ubiquitous computing in urban planning, are widely discussed in academia, business, and government. These cities are characterized not only by their use of technology but also by their innovation-driven economies and collaborative, data-driven city governance. Smart urbanism can seem like an effective strategy to create more efficient, sustainable, productive, and open cities. However, there are emerging concerns about the potential risks in the long-term development of smart cities, including political neutrality of big data, technocratic governance, technological lock-ins, data and network security, and privacy risks.

In a study entitled, “The Real-Time City? Big Data and Smart Urbanism,” Rob Kitchin provides a critical reflection on the potential negative effects of data-driven city governance on social development—a topic he claims deserves greater governmental, academic, and social attention.

In contrast to traditional datasets that rely on samples or are aggregated to a coarse scale, “big data” is huge in volume, high in velocity, and diverse in variety. Since the early 2000s, there has been explosive growth in data volume due to the rapid development and implementation of technology infrastructure, including networks, information management, and data storage. Big data can be generated from directed, automated, and volunteered sources. Automated data generation is of particular interest to urban planners. One example Kitchin cites is urban sensor networks, which allow city governments to monitor the movements and statuses of individuals, materials, and structures throughout the urban environment by analyzing real-time data.

With the huge amount of streaming data collected by smart infrastructure, many city governments use real-time analysis to manage different aspects of city operations. There has been a recent trend in centralizing data streams into a single hub, integrating all kinds of surveillance and analytics. These one-stop data centers make it easier for analysts to cross-reference data, spot patterns, identify problems, and allocate resources. The data are also often accessible by field workers via operations platforms. In London and some other cities, real-time data are visualized on “city dashboards” and communicated to citizens, providing convenient access to city information.

However, the real-time city is not a flawless solution to all the problems faced by city managers. The primary concern is the politics of big, urban data. Although raw data are often perceived as neutral and objective, no data are free of bias; the collection of data is a subjective process that can be shaped by various confounding factors. The presentation of data can also be manipulated to answer a specific question or enact a particular political vision….(More)”

Technology is a new kind of lifeline for refugees


Marketplace: “Imagine you’re a refugee leaving home for good. You’ll need help. But what you ask for today is much different than it would have been just 10 years ago.

“What people are demanding, more and more, is not classic food, shelter, water, healthcare, but they demand wifi,” said Melita Šunjić, a spokesperson for the United Nations High Commissioner for Refugees.

Šunjić began her work with Syrian refugees in camps in Amman, Jordan. Many were from rural areas with basic cell phones.

“The refugees we’re looking at now, who are coming to Europe – this is a completely different story,” Šunjić said. “They are middle class, urban people. Practically each family has at least one smart phone. We calculated that in each group of 20, they would have three smart phones.”

Refugees use their phones to call home and to map their routes. Even smugglers have their own Facebook pages.

“I don’t remember a crisis or refugee group where modern technology played such a role,” Šunjić said.

As refugees from Syria continue to flow into Europe, aid organizations are gearing up for what promises to be a difficult winter.

Emily Eros, ‎a GIS mapping officer with the American Red Cross, said her organization is working on the basics like providing food, water and shelter, but it’s also helping refugees stay connected. “It’s a little bit difficult because it’s not just a matter of getting a wifi station up, it’s also a matter of having someone there who’s able to fix it if something goes wrong,” she said. …(More)”

Robots Will Make Leeds the First Self-Repairing City


Emiko Jozuka at Motherboard: “Researchers in Britain want to make the first “self-repairing” city by 2035. How will they do this? By creating autonomous repair robots that patrol the streets and drainage systems, making sure your car doesn’t dip into a pothole, and that you don’t experience any gas leaks.

“The idea is to create a city that behaves almost like a living organism,” said Raul Fuentes, a researcher at the School of Civil Engineering at Leeds University, who is working on the project. “The robots will act like white cells that are able to identify bacteria or viruses and attack them. It’s kind of like an immune system.”

The £4.2 million ($6.4 million) national infrastructure project is in collaboration with Leeds City Council and the UK Collaboration for Research in Infrastructures and Cities (UKCRIC). The aim is to create a fleet of robot repair workers who will live in Leeds city, spot problems, and sort them out before they become even bigger ones by 2035, said Fuentes. The project is set to launch officially in January 2016, he added.

For their five-year project—which has a vision that extends until 2050—the researchers will develop robot designs and technologies that focus on three main areas. The first is to create drones that can perch on high structures and repair things like street lamps; the second is to develop drones that can autonomously spot when a pothole is about to form and zone in and patch that up before it worsens; and the third is to develop robots that will live in utility pipes so they can inspect, repair, and report back to humans when they spot an issue.

“The robots will be living permanently in the city, and they’ll be able to identify issues before they become real problems,” explained Fuentes. The researchers are working on making the robots autonomous, and want them to be living in swarms or packs where they can communicate with one another on how best they could get the repair job done….(More)

Push, Pull, and Spill: A Transdisciplinary Case Study in Municipal Open Government


Paper by Jan Whittington et al: “Cities hold considerable information, including details about the daily lives of residents and employees, maps of critical infrastructure, and records of the officials’ internal deliberations. Cities are beginning to realize that this data has economic and other value: If done wisely, the responsible release of city information can also release greater efficiency and innovation in the public and private sector. New services are cropping up that leverage open city data to great effect.

Meanwhile, activist groups and individual residents are placing increasing pressure on state and local government to be more transparent and accountable, even as others sound an alarm over the privacy issues that inevitably attend greater data promiscuity. This takes the form of political pressure to release more information, as well as increased requests for information under the many public records acts across the country.

The result of these forces is that cities are beginning to open their data as never before. It turns out there is surprisingly little research to date into the important and growing area of municipal open data. This article is among the first sustained, cross-disciplinary assessments of an open municipal government system. We are a team of researchers in law, computer science, information science, and urban studies. We have worked hand-in-hand with the City of Seattle, Washington for the better part of a year to understand its current procedures from each disciplinary perspective. Based on this empirical work, we generate a set of recommendations to help the city manage risk latent in opening its data….(More)”

Role of Citizens in India’s Smart Cities Challenge


Florence Engasser and Tom Saunders at the World Policy Blog: “India faces a wide range of urban challenges — from serious air pollution and poor local governance, to badly planned cities and a lack of decent housing. India’s Smart Cities Challenge, which has now selected 98 of the 100 cities that will receive funding, could go a long way in addressing these issues.

According to Prime Minister Narendra Modi, there are five key instruments that make a “smart” city: the use of clean technologies, the use of information and communications technology (ICT), private sector involvement, citizen participation and smart governance. There are good examples of new practices for each of these pillars.

For example, New Delhi recently launched a program to replace streetlights with energy efficient LEDs. The Digital India program is designed to upgrade the country’s IT infrastructure and includes plans to build “broadband highways” across the country. As for private sector participation, the Indian government is trying to encourage it by listing sectors and opportunities for public-private partnerships.

Citizen participation is one of Modi’s five key instruments, but this is an area where smart city pilots around the world have tended to perform least well on. While people are the implied beneficiaries of programs that aim to improve efficiency and reduce waste, they are rarely given a chance to participate in the design or delivery of smart city projects, which are usually implemented and managed by experts who have only a vague idea of the challenges that local communities face.

Citizen Participation

Engaging citizens is especially important in an Indian context because there have already been several striking examples of failed urban redevelopments that have blatantly lacked any type of community consultation or participation….

In practice, how can Indian cities engage residents in their smart city projects?

There are many tools available to policymakers — from traditional community engagement activities such as community meetings, to websites like Mygov.in that ask for feedback on policies. Now, there are a number of reasons to think smartphones could be an important tool to help improve collaboration between residents and city governments in Indian cities.

First, while only around 10 percent of Indians currently own a smartphone, this is predicted to rise to around half by 2020, and will be much higher in urban areas. A key driver of this is local manufacturing giants like Micromax, which have revolutionized low-cost technology in India, with smartphones costing as little as $30 (compared to around $800 for the newest iPhone).

Second, smartphone apps give city governments the potential to interact directly with citizens to make the most of what they know and feel about their communities. This can happen passively, for example, the Waze Connected Citizens program, which shares user location data with city governments to help improve transport planning. It can also be more active, for example, FixMyStreet, which allows people to report maintenance issues like potholes to their city government.

Third, smartphones are one of the main ways for people to access social media, and researchers are now developing a range of new and innovative solutions to address urban challenges using these platforms. This includes Petajakarta, which creates crowd-sourced maps of flooding in Jakarta by aggregating tweets that mention the word ‘flood.’

Made in India

Considering some of the above trends, it is interesting to think about the role smartphones could play in the governance of Indian cities and in better engaging communities. India is far from being behind in the field, and there are already a few really good examples of innovative smartphone applications made in India.

Swachh Bharat Abhiyan (translated as Clean India Initiative) is a campaign launched by Modi in October 2014, covering over 4,000 towns all over the country, with the aim to clean India’s streets. The Clean India mobile application, launched at the end of 2014 to coincide with Modi’s initiative, was developed by Mahek Shah and allows users to take pictures to report, geo-locate, and timestamp streets that need cleaning or problems to be fixed by the local authorities.

Similar to FixMyStreet, users are able to tag their reports with keywords to categorize problems. Today, Clean India has been downloaded over 12,000 times and has 5,000 active users. Although still at a very early stage, Clean India has great potential to facilitate the complaint and reporting process by empowering people to become the eyes and ears of municipalities on the ground, who are often completely unaware of issues that matter to residents.

In Bangalore, an initiative by the MOD Institute, a local nongovernmental organization, enabled residents to come together, online and offline, to create a community vision for the redevelopment of Shanthinagar, a neighborhood of the city. The project, Next Bengaluru, used new technologies to engage local residents in urban planning and tap into their knowledge of the area to promote a vision matching their real needs.

The initiative was very successful. In just three months, between December 2014 and March 2015, over 1,200 neighbors and residents visited the on-site community space, and the team crowd-sourced more than 600 ideas for redevelopment and planning both on-site and through the Next Bangalore website.

The MOD Institute now intends to work with local urban planners to try get these ideas adopted by the city government. The project has also developed a pilot app that will enable people to map abandoned urban spaces via smartphone and messaging service in the future.

Finally, Safecity India is a nonprofit organization providing a platform for anyone to share, anonymously or not, personal stories of sexual harassment and abuse in public spaces. Men and women can report different types of abuses — from ogling, whistles and comments, to stalking, groping and sexual assault. The aggregated data is then mapped, allowing citizens and governments to better understand crime trends at hyper-local levels.

Since its launch in 2012, SafeCity has received more than 4,000 reports of sexual crime and harassment in over 50 cities across India and Nepal. SafeCity helps generate greater awareness, breaks the cultural stigma associated with reporting sexual abuse and gives voice to grassroots movements and campaigns such as SayftyProtsahan, or Stop Street Harassment, forcing authorities to take action….(More)

How smartphones are solving one of China’s biggest mysteries


Ana Swanson at the Washington Post: “For decades, China has been engaged in a building boom of a scale that is hard to wrap your mind around. In the last three decades, 260 million people have moved from the countryside to Chinese cities — equivalent to around 80 percent of the population of the U.S. To make room for all of those people, the size of China’s built-up urban areas nearly quintupled between 1984 and 2010.

Much of that development has benefited people’s lives, but some has not. In a breathless rush to boost growth and development, some urban areas have built vast, unused real estate projects — China’s infamous “ghost cities.” These eerie, shining developments are complete except for one thing: people to live in them.

China’s ghost cities have sparked a lot of debate over the last few years. Some argue that the developments are evidence of the waste in top-down planning, or the result of too much cheap funding for businesses. Some blame the lack of other good places for average people to invest their money, or the desire of local officials to make a quick buck — land sales generate a lot of revenue for China’s local governments.

Others say the idea of ghost cities has been overblown. They espouse a “build it and they will come” philosophy, pointing out that, with time, some ghost cities fill up and turn into vibrant communities.

It’s been hard to evaluate these claims, since most of the research on ghost cities has been anecdotal. Even the most rigorous research methods leave a lot to be desired — for example, investment research firms sending poor junior employees out to remote locations to count how many lights are turned on in buildings at night.

Now new research from Baidu, one of China’s biggest technology companies, provides one of the first systematic looks at Chinese ghost cities. Researchers from Baidu’s Big Data Lab and Peking University in Beijing used the kind of location data gathered by mobile phones and GPS receivers to track how people moved in and out suspected ghost cities, in real time and on a national scale, over a period of six months. You can see the interactive project here.

Google has been blocked in China for years, and Baidu dominates the market in terms of search, mobile maps and other offerings. That gave the researchers a huge data base to work with —  770 million users, a hefty chunk of China’s 1.36 billion people.

To identify potential ghost cities, the researchers created an algorithm that identifies urban areas with a relatively spare population. They define a ghost city as an urban region with a population of fewer than 5,000 people per square kilometer – about half the density recommended by the Chinese Ministry of Housing and Urban-Rural Development….(More)”