Smart cities are great. Human-centric cities are (again) the future


Naveen Rajdev at Quartz:” …You don’t want your smart city’s proverbial slip to show, and you don’t want to overwhelm your citizens with too much tech. So what’s the plan?

1. Start making technology invisible

Being able to “see” technology creates interaction, and interaction creates distraction.

To illustrate: Assuming your car and smartphone are connected, your phone should be able to notify someone—someone texting you, for example—that you’re driving and can’t respond. You don’t want to take your hands off the wheel, so your phone should instead be able to send an automatic response to the text sender: “I’m driving right now, but I’ll get back to you later.” It keeps you and others safe on the road, and it doesn’t force you to respond….

Detroit, for instance, is already investigating the idea of “invisible” technology, particularly when it comes to residents’ safety. Last fall, Detroit’s city officials partnered with Comcast to expand the area’s Project Green Light program, which allows businesses to install cameras police can use to monitor crimes (and solve them) in real time.

The program’s expansion led to a 50% drop in violent crime at convenience stores and gas stations. Thanks to the technology—which was by no means a distraction to Detroit’s residents—the city is safer, and business is better.

While Detroit excels at making tech inconspicuous, most of the country is doing what it can to be more on-the-grid than ever before, completely ignoring (or altogether missing) the subtleties “invisible” tech offers. Last fall, New York City officials introduced LinkNYC, a free Wi-Fi service throughout Manhattan in the form of 500 touch-screen kiosks available for public use.

As the adage suggests, sometimes there can be too much of a good thing. With the kiosks being essentially too visible in Manhattan’s streets, problems arose: The city’s homeless population began misusing them, and certain groups started insisting the kiosks help officials “spy” on its residents….

2. Your city must be conscious of digital overload

In a world where technology rules, it’s imperative we find time to think, breathe, and unplug, so city leaders must carefully marry tech and mindfulness. Otherwise, they face the consequences of information overload: weakened decision-making and the feeling of being overwhelmed, among others. A city’s occasional digital detox is crucial.

Why? Studies have shown that smartphones could be causing insomnia, social media may be spawning narcissism, and computer screens might be making our kids less empathetic. At some point, a line must be drawn.

Luckily, certain cities are starting to draw it. Late last year, Miami’s development authority department proposed turning lanes clogged with traffic on Biscayne Boulevard into a spacious greenway that welcomed both pedestrians and bicyclists. Beyond that, walking trails are growing along the river and bay, and another trail is in the works. City developers have also approved smaller residential projects in areas that public transit serves….

Even a simple art exhibit can be marred by too much tech. …Other gallery curators aren’t loving the marriage of art and tech. Connie Wolf, Stanford University’s director of the Cantor Arts Center, is particularly cautious. “In our busy lives, in our crazy lives, we’re always connected to technology,” she said. “People want to come into museums and put that technology aside for a moment.”

Bottom line: Being connected is great, but being conscious is better. City leaders would do well to remember this….(More)”.

Building the Learning City


Daniel Castro at GovTech: “…Like other technologies, smart cities will evolve and mature over time. The earliest will provide basic insights from data and enable local leaders to engage in evidence-based governance. These efforts will be important, but they will represent only incremental change from what cities have already been doing. For example, Baltimore created its CitiStat program in 1999 to measure all municipal functions and improve oversight and accountability of city agencies. Early smart cities will have substantially more data at their disposal, but they will not necessarily use this data in fundamentally new ways.

The second stage of smart cities will use predictive analytics to identify patterns and forecast trends. These types of insights will be especially valuable to city planners and local officials responsible for improving municipal services and responding to changing demands. These cities will reduce downtime on critical municipal infrastructure by performing preventive maintenance on vehicles, bridges and buildings, and more quickly intervene when public health and safety issues arise. This stage will rely on powerful data-driven technologies, such as the systems that enable Netflix to offer movie recommendations and Amazon to suggest additional products for customers.

The third stage of smart cities will focus on using “prescriptive analytics” to use data to optimize processes automatically. Whereas the second stage of smart cities will be primarily about using data to supply insights about the future that will allow city leaders to evaluate different choices, this third stage will be about relying on algorithms to make many of these decisions independently. Much like a system of smart traffic signals uses real-time data to optimize traffic flow, these algorithms will help to automate more government functions and increase the productivity of municipal employees.

At all three stages of smart city development, there is an opportunity for city leaders to look beyond local needs and consider how they can design a smart city that will be part of a larger network of cities that share and learn from one another. On its own, a smart city can use data to track local trends, but as part of a network, a smart city can benchmark itself against a set of similar peers. For example, water and waste management departments can compare metrics to assess their relative performance and identify opportunities for change.

If they hope to successfully develop into learning cities, cities can begin the process of setting up to work jointly with their peers by participating in forums such as the Global City Teams Challenge, an initiative to bring together government and industry stakeholders working on common smart city problems. But longer-term change will require city leaders to reorient their planning to consider not only the needs of their city, but also how they fit into the larger network….(More)”

Saving the Soul of the Smart City


Joshua J. Yates at The Hedgehog Review: “…We, too, stand on the cusp of a revolutionary new urban form: “the smart city.” That form emerges from a new wave of intensive urbanization and the proliferating uses of information technology to “optimize” the city’s functioning. It takes shape not uniformly or seamlessly but in fits and starts—in a handful of places all at once, incrementally in others. As was the case with the commuter suburb before it, a potent combination of institutional interests, technological innovations, and cultural appetites fuels the smart city’s rise. But this fact only raises the stakes, demanding that we look as hard at the coming of the smart city as Whyte, Jacobs, and their colleagues looked at the suburban efflorescence….

We can begin taking a hard look at the smart city paradigm by examining its organizing concept: optimization. This term is ubiquitous in discussions about smart cities, and it provides a key to understanding the cultural reasoning behind this new urban form and what that reasoning might be committing us to, morally and civically, over the long run.

By definition, optimization simply means the act of making the most of a process, situation, or resource. It is maximizing potential in light of given circumstances. Facing situations of fiscal austerity, as many of them are, cities are drawn to optimization in their quest to economize. This much is easy to understand. But it is optimization in a more triumphant, maximizing register that underwrites the unquestioning optimism of boosters of the smart city and its potential. For instance, here is how Y Combinator, the Silicon Valley “accelerator” that created Airbnb, recently announced that it was getting into the smart city business: “We want to study building new, better cities. The world is full of people who aren’t realizing their potential in large part because their cities don’t provide the opportunities and living conditions necessary for success. A high leverage way to improve our world is to unleash this massive potential by making better cities….

Narrowing the horizon of living to one overriding register of value, a regime of optimization stamps out the broad, diverse array of conditions that make human life vital. It turns out that some of the things most necessary for human thriving cannot be optimized, and are greatly harmed to the extent that we try. Conviviality, family, friendship, serendipity, play, dependency, trust, calling, and yes, even happiness: These are just a few of the things that make life meaningful and which wither in the soil of optimization. Some of these qualities, as Jane Jacobs reminds us, are able to grow and blossom organically only from the self-organizing everyday forms of human contact that generate spontaneously from vibrant public places and street life. “The ballet of the good city sidewalk,” Jacobs famously wrote, “never repeats itself from place to place, and in any one place is always replete with new improvisations.” Such emergence, as Hannah Arendt reminds us, can come only “against the overwhelming odds of statistical laws and their probability, which for all practical, everyday purposes amounts to certainty; the new therefore always appears in the guise of a miracle.”

Some, Jacobs and Arendt would agree, can come only through the civic friction that physical proximity and cultural particularity generate, and which can lead to genuine dialogue with our neighbors. But some, the philosopher Charles Taylor would remind us, come ultimately through the cultivation of the skills and virtues that power our commitments to working for the good of one another, even possibly at the expense of our own convenience and comforts. If the smart city is to contribute to a thriving human ecology oriented toward truth, justice, and goodness as well as prosperity, beauty, and sustainability, we stand in urgent need of a deep ethical and political turn that will help us cultivate the unoptimizable things for the purposes of making the city not just smart, but wise….(More)”.

Algorithmic Transparency for the Smart City


Paper by Robert Brauneis and Ellen P. Goodman: “Emerging across many disciplines are questions about algorithmic ethics – about the values embedded in artificial intelligence and big data analytics that increasingly replace human decisionmaking. Many are concerned that an algorithmic society is too opaque to be accountable for its behavior. An individual can be denied parole or denied credit, fired or not hired for reasons she will never know and cannot be articulated. In the public sector, the opacity of algorithmic decisionmaking is particularly problematic both because governmental decisions may be especially weighty, and because democratically-elected governments bear special duties of accountability. Investigative journalists have recently exposed the dangerous impenetrability of algorithmic processes used in the criminal justice field – dangerous because the predictions they make can be both erroneous and unfair, with none the wiser.

We set out to test the limits of transparency around governmental deployment of big data analytics, focusing our investigation on local and state government use of predictive algorithms. It is here, in local government, that algorithmically-determined decisions can be most directly impactful. And it is here that stretched agencies are most likely to hand over the analytics to private vendors, which may make design and policy choices out of the sight of the client agencies, the public, or both. To see just how impenetrable the resulting “black box” algorithms are, we filed 42 open records requests in 23 states seeking essential information about six predictive algorithm programs. We selected the most widely-used and well-reviewed programs, including those developed by for-profit companies, nonprofits, and academic/private sector partnerships. The goal was to see if, using the open records process, we could discover what policy judgments these algorithms embody, and could evaluate their utility and fairness.

To do this work, we identified what meaningful “algorithmic transparency” entails. We found that in almost every case, it wasn’t provided. Over-broad assertions of trade secrecy were a problem. But contrary to conventional wisdom, they were not the biggest obstacle. It will not usually be necessary to release the code used to execute predictive models in order to dramatically increase transparency. We conclude that publicly-deployed algorithms will be sufficiently transparent only if (1) governments generate appropriate records about their objectives for algorithmic processes and subsequent implementation and validation; (2) government contractors reveal to the public agency sufficient information about how they developed the algorithm; and (3) public agencies and courts treat trade secrecy claims as the limited exception to public disclosure that the law requires. Although it would require a multi-stakeholder process to develop best practices for record generation and disclosure, we present what we believe are eight principal types of information that such records should ideally contain….(More)”.

Smart or dumb? The real impact of India’s proposal to build 100 smart cities


 in The Conversation: “In 2014, the new Indian government declared its intention to achieve 100 smart cities.

In promoting this objective, it gave the example of a large development in the island city of Mumbai, Bhendi Bazaar. There, 3-5 storey housing would be replaced with towers of between 40 to 60 storeys to increase density. This has come to be known as “vertical with a vengeance”.

We have obtained details of the proposed project from the developer and the municipal authorities. Using an extended urban metabolism model, which measures the impacts of the built environment, we have assessed its overall impact. We determined how the flows of materials and energy will change as a result of the redevelopment.

Our research shows that the proposal is neither smart nor sustainable.

Measuring impacts

The Indian government clearly defined what they meant with “smart”. Over half of the 11 objectives were environmental and main components of the metabolism of a city. These include adequate water and sanitation, assured electricity, efficient transport, reduced air pollution and resource depletion, and sustainability.

We collected data from various primary and secondary sources. This included physical surveys during site visits, local government agencies, non-governmental organisations, the construction industry and research.

We then made three-dimensional models of the existing and proposed developments to establish morphological changes, including building heights, street widths, parking provision, roof areas, open space, landscaping and other aspects of built form.

Demographic changes (population density, total population) were based on census data, the developer’s calculations and an assessment of available space. Such information about the magnitude of the development and the associated population changes allowed us to analyse the additional resources required as well as the environmental impact….

Case studies such as Bhendi Bazaar provide an example of plans for increased density and urban regeneration. However, they do not offer an answer to the challenge of limited infrastructure to support the resource requirements of such developments.

The results of our research indicate significant adverse impacts on the environment. They show that the metabolism increases at a greater rate than the population grows. On this basis, this proposed development for Mumbai, or the other 99 cities, should not be called smart or sustainable.

With policies that aim to prevent urban sprawl, cities will inevitably grow vertically. But with high-rise housing comes dependence on centralised flows of energy, water supplies and waste disposal. Dependency in turn leads to vulnerability and insecurity….(More)”.

Smart Technologies for Smart Governments: Transparency, Efficiency and Organizational Issues


Book edited by Manuel Pedro Rodríguez Bolívar: “…examines the introduction of smart technologies into public administrations and the organizational issues caused by these implementations, and the potential of information and communication technologies (ICTs) to rationalize and improve government, transform governance and organizational issues, and address economic, social, and environmental challenges. Cities are increasingly using new technologies in the delivery of public sector services and in the improvement of government transparency, business-led urban development, and urban sustainability. The book will examine specific smart projects that cities are embracing to improve transparency, efficiency, sustainability, mobility, and whether all cities are prepared to implement smart technologies and the incentives for promoting implementation. This focus on the smart technologies applied to public sector entities will be of interest to academics, researchers, policy-makers, public managers, international organizations and technical experts involved in and responsible for the governance, development and design of Smart Cities….(More)”.

A City Is a Data Pool: Blockchains and the Crypto-City


Paper by Jason PottsEllie Rennie and Jake Goldenfein: “The Smart City agenda of integrating ICT and Internet of Things (IoT) informatic infrastructure to improve the efficiency and adaptability of city governance has been shaping urban development policy for more than a decade now. A smart city has more data, gathered though new and better technology, delivering higher quality city services. In this paper, we explore how blockchain technology could shift the Smart City agenda by altering transaction costs with implications for the coordination of infrastructures and resources. Like the Smart City the Crypto City utilizes data informatics, but can be coordinated through distributed rather than centralized systems. The data infrastructure of the Crypto-City can enable civil society to run local public goods, and facilitate economic and social entrepreneurship. Drawing on economic theory of transaction costs, the paper sets out an explanatory framework for understanding the kinds of new governance mechanisms that may emerge in conjunction with automated systems, including the challenges that blockchain poses for cities….(More)”.

Tackling Challenges in the Engagement of Citizens with Smart City Initiatives


Paper by Long Pham and Conor Linehan: “Smart City (SC) initiatives offer best possible outcomes to  citizens and other stakeholders when those people are  involved centrally in all stages of the project. However,  undertaking design processes that facilitate citizen  engagement often involves prohibitive challenges in cost,  design and deployment mechanisms, particularly for small  cities that have limited resources. We report on a project  carried out in Cork City, a small city in Ireland, where a  method inspired by crowdsourcing was used to involve  local participants in decisions regarding smart city  infrastructure. Academics, local government, volunteers  and civil organisations came together to collaboratively  design and carry out a study to represent local interests  around the deployment of smart city infrastructure. Our  project demonstrates a new way of translating  crowdsourcing for use in government problem-solving. It  was comparatively inexpensive, creative in design, and  flexible but collaborative in deployment, resulting in high  volume of reliable data for project prioritisation and  implementation….(More)”

Data and the City


Book edited by Rob Kitchin, Tracey P. Lauriault, and Gavin McArdle: “There is a long history of governments, businesses, science and citizens producing and utilizing data in order to monitor, regulate, profit from and make sense of the urban world. Recently, we have entered the age of big data, and now many aspects of everyday urban life are being captured as data and city management is mediated through data-driven technologies.

Data and the City is the first edited collection to provide an interdisciplinary analysis of how this new era of urban big data is reshaping how we come to know and govern cities, and the implications of such a transformation. This book looks at the creation of real-time cities and data-driven urbanism and considers the relationships at play. By taking a philosophical, political, practical and technical approach to urban data, the authors analyse the ways in which data is produced and framed within socio-technical systems. They then examine the constellation of existing and emerging urban data technologies. The volume concludes by considering the social and political ramifications of data-driven urbanism, questioning whom it serves and for what ends.

This book, the companion volume to 2016’s Code and the City, offers the first critical reflection on the relationship between data, data practices and the city, and how we come to know and understand cities through data. It will be crucial reading for those who wish to understand and conceptualize urban big data, data-driven urbanism and the development of smart cities….(More)”

The role of Open Data in driving sustainable mobility in nine smart cities


Paper by Piyush Yadav et al: “In today’s era of globalization, sustainable mobility is considered as a key factor in the economic growth of any country. With the emergence of open data initiatives, there is tremendous potential to improve mobility. This paper presents findings of a detailed analysis of mobility open data initiatives in nine smart cities – Amsterdam, Barcelona, Chicago, Dublin, Helsinki, London, Manchester, New York and San Francisco. The paper discusses the study of various sustainable indicators in the mobility domain and its convergence with present open datasets. Specifically, it throws light on open data ecosystems in terms of their production and consumption. It gives a comprehensive view of the nature of mobility open data with respect to their formats, interactivity, and availability. The paper details the open datasets in terms of their alignment with different mobility indicators, publishing platforms, applications and API’s available. The paper discusses how these open datasets have shown signs of fostering organic innovation and sustainable growth in smart cities with impact on mobility trends. The results of the work can be used to inform the design of data driven sustainable mobility in smart cities to maximize the utilization of available open data resources….(More)”.