Using High Resolution Mobility Data to Understand Human Behavior and Population Dynamics in Cities

A dataset of more than 500,000,000 WiFi probe requests from mobile devices, together with land use, demographic, and city administrative data, from an urban test-bed in New York City is being used to develop high resolution pedestrian mobility models in dense urban environments.

Language

  • English

Project

Subject/Index Terms

Filing Info

  • Accession Number: 01648515
  • Record Type: Research project
  • Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
  • Contract Numbers: 69A3551747124
  • Files: UTC, RIP
  • Created Date: Oct 17 2017 12:55PM