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.

• Record URL:
  http://www.utrc2.org/research/projects/integrating-real%E2%80%90time-gis

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

• TRT Terms: Cities; Data collection; Geographic information systems; Global Positioning System; Mobile applications; Social media; Transportation modes; Travel surveys; Trip purpose
• Uncontrolled Terms: Urban street canyons
• Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General);

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