Smart Cities, Smarter Citizens


Free eBook courtesy of PTC.com: “The smart city movement is on a roll. Technology leaders are looking to transform major cities through advanced computer technologies, sensors, high-speed data networks, predictive analytics, big data, and IoT. But, as Mike Barlow explains in this O’Reilly report, the story goes beyond technology. Citizens, too, will need to play a large role in turning cities into smart, livable environments.

According to a United Nations report, by 2050 two-thirds of humanity will live in more than 40 mega-cities of 10 million people each. All of them will need to determine how to deliver more services with fewer resources. Cities will have to improve efficiency and reduce expenditures wherever possible, through new technologies and other means.

To create a thriving environment where innovation can blossom, citizens will not only be called upon to generate much of the data, but they’ll also need to be at the center of decision-making, based on what that data reveals.

Download this report today, and learn about the progress that various groups and organizations have already made in major cities around the world, and what lies ahead for all of us….(More)”.

Crowdsourced Smart Cities


Paper by Robert A Iannucci and Anthony Rowe: “The vision of applying computing and communication technologies to enhance life in our cities is fundamentally appealing. Pervasive sensing and computing can alert us to imminent dangers, particularly with respect to the movement of vehicles and pedestrians in and around crowded streets. Signaling systems can integrate knowledge of city-scale traffic congestion. Self-driving vehicles can borrow from and contribute to a city-scale information collaborative. Achieving this vision will require significant coordination among the creators of sensors, actuators, and application-level software systems. Cities will invest in such smart infrastructure if and only if they are convinced that the value can be realized. Investment by technology providers in creation of the infrastructure depends to a large degree on their belief in a broad and ready market. To accelerate innovation, this stalemate must be broken. Borrowing a page from the evolution of the internet, we put forward the notion that an initially minimalist networking infrastructure that is well suited to smart city concepts can break this cycle and empower co-development of both clever city-sensing devices and valuable city-scale applications, with players large and small being empowered in the process. We call this the crowdsourced smart city concept. We illustrate the concept via an examination of our ongoing project to crowdsource real-time traffic data, arguing that this can rapidly generalize to many more smart city applications. This exploration motivates study of a number of smart city challenges, crowdsourced or otherwise, leading to a paradigm shift we call edgeless computing….(More)”.

Smart city initiatives in Africa


Eyerusalem Siba and Mariama Sow at Brookings: “…African countries are presently in the early stages of their urbanization process. Though Africa was the least urbanized region in the world in 2015—only 40 percent of sub-Saharan Africa’s population lived in cities—it is now the second-fastest urbanizing region in the world (behind Asia). Population experts predict that by 2020, Africa will be on top. Given this rapid growth, now is the time for African policymakers to incorporate smart cities into their urbanization strategies….

Rwanda is one of the pioneers of smart city engineering in Africa. Modernizing Kigali is part of a wider effort by the Rwanda government to increase and simplify access to public services. The Irembo platform launched by the government, seeks to create e-government services to allow citizens to complete public processes online, such as registering for driving exams and requesting birth certificates.

In addition, the country is active in involving the private sector in its goal towards creating smart cities. In mid-May, the Rwandan government launched a partnership with Nokia and SRG in order to deploy smart city technology to “improve the lifestyle and social sustainability of [Rwandan] citizens.” The project involves investment in network connectivity and sensor deployment to improve public safety, waste management, utility management, and health care, among other functions.

Rwanda’s smart city rollout has not been perfect, though, proving that smart city development can hit some snags: For example, in 2016, the city started rolling out buses with free Wi-Fi and cashless payment service, but the buses have had connectivity issues related to the Korea-built technology’s inability to adapt to local conditions.

In addition, there has been criticism around the lack of inclusivity of certain smart cities projects. Kigali’s Smart Neighborhood project, Vision City, creates a tech-enabled neighborhood with solar powered street lamps and free Wi-Fi in the town square. Critics, though, state that the project ignored the socioeconomic realities of a city where 80 percent of its population lives in slums with monthly earnings below $240 (Vision City Homes cost $160,000). (Rwandan planners have responded stating that affordable housing will be built in the later phases of the project.)

POLICY RECOMMENDATIONS

As seen in the case of Rwanda, smart cities—while creating opportunities for innovation and better livelihoods—face challenges during and after their development. City planners and policymakers must keep the big picture in mind when promoting smart cities, emphasizing well-implemented infrastructure and citizen needs. Technology for technology’s sake will not create solutions to some of Africa’s cities biggest challenges, including high-cost, low-quality, and inaccessible services. Indeed, in a 2015 issue paper, UN-Habitat urges city planners to avoid viewing smart cities as the final product. In particular, UN-Habitat calls for smart cities to minimize transport needs, reduce service delivery costs, and maximize land use. These moves, among others, will ensure that the city reduces congestion, creates spaces dedicated to recreational uses, enhances service delivery, and, thus, improves its citizen’s quality of life…(More)”.

Mobility Score


MobilityScore® helps you understand how easy it is to get around. It works at any location or address within the US and Canada and gives you a score ranging from 0 (no mobility choices) to 100 (excellent mobility choices).

What do we mean by mobility? Any transportation option that can help you move around your city. Transportation is changing massively as new choices emerge: ridesharing, bikesharing, carsharing. Private and on-demand mobility services have sprung up. However, tools for measuring transportation access have not kept up. That’s why we created MobilityScore as an easy-to-understand measure of transportation access.

Technical Details

MobilityScore includes all the transportation choices that can be found on TransitScreen displays, including the following services:

  • Public transit (subways, trains, buses, ferries, cable cars…)
  • Car sharing services (Zipcar, Enterprise, and one-way services like car2go)
  • Bike sharing services
  • Hailed ride sharing services (e.g. taxis, Uber, Lyft)

We have developed a common way of comparing how choices that might seem very different contribute to your mobility. For each mobility choice, we measure how long it will take you until you can start moving on it – for example, the time it takes you to leave your building, walk to a subway station, and wait for a train.

Because we’re measuring how easy it is for you to move around the city, we also consider what mobility choices look like at different times of the day and different days of the week. Mobility data is regularly collected for most services, while ridehailing (Uber/Lyft) data is based on a geographic model of arrival times.

MobilityScore’s framework is future-proof. Just like we do with TransitScreen, we will integrate future services into the calculation as they emerge (e.g. microtransit, autonomous vehicles, mobility-as-a-service)….(More)”

Cape Town as a Smart and Safe City: Implications for Governance and Data Privacy


Nora Ni Loideain at the Journal of International Data Privacy Law: “Promises abound that ‘smart city’ technologies could play a major role in developing safer, more sustainable, and equitable cities, creating paragons of democracy. However, there are concerns that governance led by ‘Big Data’ processes marks the beginning of a trend of encroachment on the individual’s liberty and privacy, even if such technologies are employed legitimately for the public’s safety and security. There are many ways in which personal data processing for law enforcement and public safety purposes may pose a threat to the privacy and data protection rights of individuals. Furthermore, the risk of such powers being misused is increased by the covert nature of the processing, and the ever-increasing capacity, and pervasiveness, of the retention, sharing, and monitoring of personal data by public authorities and business. The focus of this article concerns the use of these smart city technologies for the purposes of countering crime and ensuring public safety. Specifically, this research examines these policy-making developments, and the key initiatives to date, undertaken by the municipal authorities within the city of Cape Town. Subsequently, the examination then explores the implications of these policies and initiatives for governance, and compliance with the right to data privacy, as guaranteed under international human rights law, the Constitution of South Africa, and the national statutory framework governing data protection. In conclusion, the discussion provides reflections on the findings from this analysis, including some policy recommendations….(More)”.

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)”.