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Efforts have been made throughout history to measure how people use public space. This research seeks to integrate a range of sensor technologies to automate analysis of pedestrian usage of public space. A range of environmental sensors, image recognition utilities, and open-source software are combined to create a system to measure in detail how people use public space, with the intention of serving as a tool for creating better public spaces in the future. This framework is part of a broader effort to offer organizations and individuals methods and data to inform place-making interventions at multiple scales in conjunction with the Gehl Institute and Better Block Foundation.
Giampieri, Mario A.; Williams, Sarah; Xu, Wenfei; Gunc, Hayrettin; Langston, Christine M.; and Harvey, Dennis C.
"Benchmark: using sensors to study public space,"
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings: Vol. 17
, Article 22.
Available at: http://scholarworks.umass.edu/foss4g/vol17/iss1/22