Integrating Real-time GIS and Social Media for Qualitative

In transportation planning, the activity-based model system is considered as the next-generation demand foresting model and requires the input of trip modes and purposes of individuals. Global positioning system (GPS) based travel surveys can avoid many problems in traditional paper and phone surveys and are becoming increasingly popular in major cities worldwide. In the past few years, Dr. Gong has developed a computing system consisting of a smartphone app that transmits GPS data to an Amazon cloud server where geographic information systems (GIS) algorithms detect travel modes and trip purposes of individuals. Because of the urban canyon effects and mixed land use typical in high-density cities such as New York, speculating trip purposes has proved to be very challenging without qualitative information from survey participants.

Language

  • English

Project

  • Status: Completed
  • Funding: $160000.00
  • Contract Numbers:

    49997-34-25

  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    University Transportation Research Center

    City College of New York
    Marshak Hall, Suite 910, 160 Convent Avenue
    New York, NY  United States  10031
  • Project Managers:

    Thorson, Ellen

    Eickemeyer, Penny

  • Performing Organizations:

    Hunter College

    Department of Urban Affairs and Planning
    695 Park Avenue West Building, 1611
    New York, NY  United States  10021
  • Principal Investigators:

    Gong, Hongmian

  • Start Date: 20140401
  • Expected Completion Date: 0
  • Actual Completion Date: 20160630
  • Source Data: RiP Project 39781

Subject/Index Terms

Filing Info

  • Accession Number: 01566080
  • Record Type: Research project
  • Source Agency: University Transportation Research Center
  • Contract Numbers: 49997-34-25
  • Files: UTC, RiP
  • Created Date: Jun 10 2015 1:01AM