Tag Archives: cities

Housing in Smart Cities

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I attended an interesting research seminar led by Anthony Townsend yesterday at NYU’s Center for Urban Science and Progress (conveniently located in downtown Brooklyn). Professor Townsend is affiliated to NYU’s Rudin Center for Transportation Policy & Management. He discussed his recent book, Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia. Townsend argued that the 21st century will be defined by two global trends – urbanization of the world’s population, and ubiquitous computing. He traced the origins of the “smart cities” movement, its goals and the problems it faces.

As noted on Amazon, the book argues that

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.

While Townsend’s talk did not apply his thesis to urban housing and his book only touches on it, it is certainly worth thinking through how Big Data can help provide more housing and better housing in big cities.

Housing is as “unvirtual,” or perhaps as “real,” a good as a good can be. But businesses such as Airbnb show how the virtual and the real can combine into something quite new. Obviously Airbnb does not solve many housing problems for residents of cities, but it does demonstrate that there is a brave new world ahead. Housing policymakers should try to discern what it is going to look like and how it can be harnessed as a force of civic good.

The Divided City — New York Edition

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Richard Florida and colleagues at the Martin Prosperity Institute have posted a report, The Divided City:  And the Shape of the New Metropolis. The executive summary explains that

To better understand the relationship between class and geography, this report charts the residential locations of the three major workforce classes: the knowledge-based creative class which makes up roughly a third of the U.S. workforce; the fast-growing service class of lower-skill, lower-wage occupations in food preparation, retail sales, personal services, and clerical and administrative work that makes up slightly more than 45 percent of the workforce; and the once-dominant but now dwindling blue-collar working class of factory, construction, and transportation workers who make up roughly 20 percent of the workforce.

 The study tracks their residential locations by Census tract, areas that are smaller than many neighborhoods, based on data from the 2010 American Community Survey. The study covers 12 of America’s largest metro areas and their center cities: New York, Los Angeles, Chicago, Washington, DC, Atlanta, Miami, Dallas, Houston, Philadelphia, Boston, San Francisco, and Detroit. It examines these patterns of class division in light of the classic models of urban form developed in the first half of the 20th century. These models suggest an outward-oriented model of urban growth and development with industry and commerce at the center of the city surrounded by lower-income working class housing, with more affluent groups located in less dense areas further out at the periphery. It also considers these patterns in light of more recent theories of a back-to-the-city movement and of a so-called “Great Inversion,” in which an increasingly advantaged core is surrounded by less advantaged suburbs.

 The study finds a clear and striking pattern of class division across each and every city and metro area with the affluent creative class occupying the most economically functional and desirable locations. Although the pattern is expressed differently, each city and metro area in our analysis has evident clusters of the creative class in and around the urban core. While this pattern is most pronounced in post-industrial metros like San Francisco, Boston, Washington, DC, and New York, a similar but less developed pattern can be discerned in every metro area we covered, including older industrial metros like Detroit, sprawling Sunbelt metros like Atlanta, Houston, and Dallas, and service-driven economies like Miami. In some metros, these class-based clusters embrace large spans of territory. In others, the pattern is more fractured, fragmented, or tessellated.

 The locations of the other two classes are structured and shaped by the locational prerogatives of the creative class. The service class either surrounds the creative class, being concentrated in areas of urban disadvantage, or pushed far off into the suburban fringe. There are strikingly few working class concentrations left in America’s major cities and metros. (iv)

As a New Yorker, I was particularly struck by the map of New York City on page 12. It is striking to see how few blue-collar communities are left in the City and how starkly divided the rest of the City is between the “creative” and “service” classes. This is not particularly surprising, but striking nonetheless.