Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia by Anthony M. TownsendAn unflinching look at the aspiring city-builders of our smart, mobile, connected future.
We live in a world defined by urbanization and digital ubiquity, where mobile broadband connections outnumber fixed ones, machines dominate a new internet of things, and more people live in cities than in the countryside.
In Smart Cities, urbanist and technology expert Anthony Townsend takes a broad historical look at the forces that have shaped the planning and design of cities and information technologies from the rise of the great industrial cities of the nineteenth century to the present. A century ago, the telegraph and the mechanical tabulator were used to tame cities of millions. Today, cellular networks and cloud computing tie together the complex choreography of mega-regions of tens of millions of people.
In response, cities worldwide are deploying technology to address both the timeless challenges of government and the mounting problems posed by human settlements of previously unimaginable size and complexity. In Chicago, GPS sensors on snow plows feed a real-time plow tracker map that everyone can access. In Zaragoza, Spain, a citizen card can get you on the free city-wide Wi-Fi network, unlock a bike share, check a book out of the library, and pay for your bus ride home. In New York, a guerrilla group of citizen-scientists installed sensors in local sewers to alert you when stormwater runoff overwhelms the system, dumping waste into local waterways.
As technology barons, entrepreneurs, mayors, and an emerging vanguard of civic hackers are trying to shape this new frontier, Smart Cities considers the motivations, aspirations, and shortcomings of them all while offering a new civics to guide our efforts as we build the future together, one click at a time.
Big Data And The Future Of Smart Cities
With Big Data, existing fragmented and isolated data sets can be studied from an overarching perspective to provide effective solutions to common problems that affect rapidly growing cities today. Smart cities are the new buzz word in infrastructure development. With a steadily increasing influx of populations into cities and a constantly growing need to better handle resources, several cities like San Francisco and Seoul are experimenting with up-and-coming technologies to make their cities smarter. Among these new trending technologies is the Internet of Things IoT and Big Data, which has revolutionised the way we analyse patterns and trends in human behaviour. Here are 5 ways in which Big Data could prove indispensable in smart cities of the future:.
Metrics details. Many governments are considering adopting the smart city concept in their cities and implementing big data applications that support smart city components to reach the required level of sustainability and improve the living standards. Smart cities utilize multiple technologies to improve the performance of health, transportation, energy, education, and water services leading to higher levels of comfort of their citizens. This involves reducing costs and resource consumption in addition to more effectively and actively engaging with their citizens. One of the recent technologies that has a huge potential to enhance smart city services is big data analytics. As digitization has become an integral part of everyday life, data collection has resulted in the accumulation of huge amounts of data that can be used in various beneficial application domains. Effective analysis and utilization of big data is a key factor for success in many business and service domains, including the smart city domain.
Home News. Smart cities are challenging current big-data analytics software solutions. Smart cities require to process on the fly and at rest, huge amounts of heterogeneous data coming from geographically dispersed sources. Moreover, the future interaction between connected or even autonomous vehicles and smart cities for an enhancing safety mobility, will impose further non-functional requirements on big data systems such as real-time guarantees. To do so, CLASS aims to converge and evolve high-performance, low-power embedded and big data analytics computing technologies into a unified software architecture capable of efficiently coordinating and distributing computation resources along the compute continuum from edge to cloud computing resources , while providing real-time guarantees, as required by automotive systems. The software architecture will integrate innovative software frameworks from multiple domains such as COMPSs , the software framework developed at BSC to design and execute high-performance applications in distributed environments, OpenWhisk , a serverless execution model developed by IBM, and Rotterdam, a Container as a Service CaaS components developed by Atos.
Tech-Enabled Improvements for Qualitative Changes
Amid accelerated innovation in fields like artificial intelligence, IoT, and data analytics, the smart cities movement has picked up momentum in recent years. Big data lies at the heart of smart city innovation. Drawing on data from connected devices, public agencies, private citizens, and more, cities will be able to optimise their operations and effectively manage change as more and more people call them home. The payoff will be significant. The McKinsey Global Institute calculates that smart city technologies have the potential to boost key urban quality-of-life indicators by 10 to 30 per cent. While the benefits of smart cities will be far-reaching, three areas in particular — traffic management, public safety, and infrastructure maintenance — attest to why data-driven innovation is crucial to the future of urban life.