Using Social Media Data to Enhance Up-to-date Origin-Destination Demand Monitoring

This proposal aims to investigate the following problems: (P1) How to derive individual activity locations (ODs) from social media? Social media is usually a sparse sample of human spatial-temporal space and advanced data analytic methods are needed to derive the complete patterns using longitudinal data. Geo-tagged social media data can be categorized into activity locations and traveling locations. The research team aims to extract activity locations which can be further used to derive OD locations. (P2) How to infer individual travel behavior from longitudinal social media data? Social media data is generally sparse. Also people may post while they are moving. Therefore, conventional global positioning system (GPS)-based study may not be appropriate for answering this question. The team must figure out people's social media usage behavior, and further understand the discrepancies between social media sampling and household survey sampling. (P3) How to use trends in individual travel behavior to enhance longitudinal travel demand monitoring? To address this problem, the team first builds a model to classify travelers based on their social media usage or travel behavior pattern. Then the team will use social demographics information to map individual behavior to travel OD demand based on demographic information found when solving P1 and user classification results when solving P2.

Language

  • English

Project

  • Status: Active
  • Funding: $100000
  • Contract Numbers:

    DTRT13-G-UTC48

  • Sponsor Organizations:

    State University of New York, Buffalo

    212 Ketter Hall
    Buffalo, NY  United States  14260

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Performing Organizations:

    State University of New York, Buffalo

    212 Ketter Hall
    Buffalo, NY  United States  14260
  • Principal Investigators:

    He, Qing

    Zhu, Shanjiang

  • Start Date: 20170901
  • Expected Completion Date: 20180831
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01652096
  • Record Type: Research project
  • Source Agency: Transportation Informatics University Transportation Center
  • Contract Numbers: DTRT13-G-UTC48
  • Files: UTC, RiP
  • Created Date: Nov 28 2017 2:50PM