Original event: http://www.meetup.com/Data-Science-for-Sustainability/events/171093522/
Dan Chatman, Professor of City and Regional Planning, UC Berkeley
SFPark is a demand-responsive pricing system of on-street parking in San Francisco. First piloted in 2011, SFpark seeks to reduce congestion and pollution by using a system of wireless sensors to aggregate minute by minute data about occupancy and determine how to set prices to achieve the goal of eliminating parking search by ensuring there is always at least one parking space open on every block. The program has won a number of awards for environmental sustainability and innovative uses of technology. This presentation builds upon SFPark’s data with extensive in-the-field, in-person observations and makes the case for traditional methods of data collection in an increasingly automated world.
Dan Chatman is a faculty member in UC Berkeley’s Department of City and Regional Planning, with research interests including travel patterns and the built environment; residential and workplace location choice; "smart growth" and municipal fiscal decision making; and the connections between public transportation, immigration and the economic growth of cities. His research relies heavily on original data collection such as surveys, focus groups and interviews. Ongoing and recently completed research projects include studies addressing which U.S. transit systems succeed and why; the implications of immigration trends for sustainable development and economic growth; the relationship of transit investments to agglomeration economies in U.S. cities; the effect of dynamic parking pricing on occupancy and use of on-street parking in San Francisco; and the relationship between residential location, commuting, and happiness.
Dan's slides can be found here.