On the Heterogeneity and Substitution Patterns in Mobility Tool Ownership Choices of Post-secondary Students: The Case of Toronto

The paper presents an investigation of the choices of mobility tool ownership of post-secondary students in Toronto. Data came from a 2015 survey of post-secondary students across four universities in Toronto. The choices of owning a basic mobility tool (driver’s license, car, transit pass and bicycle) or combinations of basic tools (composite tools) are investigated through estimation of cross-nested generalized extreme value (GEV) models. The paper proposes a parsimonious GEV model that drastically reduces the total number of parameters that are needed to be estimated, while accommodating the full range of substitution patterns among the choice alternatives. The model clearly shows the systematic interaction of basic mobility tool ownership utility is more prevalent than the random correlation that a GEV model can capture. Students’ personal and household related attributes influence the choice of owning combinations of mobility tools and influence multimodality. It is also found that older and male students are more multimodal than younger and female students. High car ownership levels play a pivotal role against the choice of owning transit passes.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Habib, Khandker Nurul
    • Weiss, Adam
    • Hasnine, Sami
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 20p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01626409
  • Record Type: Publication
  • Report/Paper Numbers: 17-01879
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 23 2017 5:06PM