urban planning

Government Technology: “A couple of years ago, a conversation was brewing among city leaders in the Sacramento, Calif., suburb of Elk Grove — the city realized it could no longer afford to limit interactions with an increasingly smartphone-equipped population to between the hours of 8 a.m. and 5 p.m… The city considered several options, including a vendor-built mobile app tailor-made to meet its specific needs. And during this process, the city discovered civic engagement startup PublicStuff. Founded by Forbes’ 30 Under 30 honoree Lily Liu, the company offers a service request platform that lets users report issues of concern to the city.

Liu, who previously held positions with both New York City and Long Beach, Calif., realized that many cities couldn’t afford a full-blown 311 call center system to handle citizen requests. Many need a less expensive way of providing responsive customer service to the community. PublicStuff now fills that need for more than 200 cities across the country.”

David Talbot in MIT Technology Review: “Researchers at IBM, using movement data collected from millions of cell-phone users in Ivory Coast in West Africa, have developed a new model for optimizing an urban transportation system….
While the results were preliminary, they point to the new ways that urban planners can use cell-phone data to design infrastructure, says Francesco Calabrese, a researcher at IBM’s research lab in Dublin, and a coauthor of a paper on the work. “This represents a new front with a potentially large impact on improving urban transportation systems,” he says. “People with cell phones can serve as sensors and be the building blocks of development efforts.”
The IBM work was done as part of a research challenge dubbed Data for Development, in which the telecom giant Orange released 2.5 billion call records from five million cell-phone users in Ivory Coast. The records were gathered between December 2011 and April 2012. The data release is the largest of its kind ever done. The records were cleaned to prevent anyone identifying the users, but they still include useful information about these users’ movements. The IBM paper is one of scores being aired later this week at a conference at MIT.”