A Dynamic Discrete Choice Model for Tour-Based Mode Choices

The paper presents a dynamic modelling framework for modelling tour-based mode choices. It intends to overcome the limitations stemmed from the simplifications made in mode choice modelling of operational activity-based models (ABM). A computationally tractable dynamic discrete choice modelling (DDCM) framework is used. Dynamics in daily travel mode choices are modelled by incorporating state dependence, and expectations of the trips in downstream of a tour. The proposed approach can handle all feasible trip mode combinations (including taxi and Uber) within a tour. The empirical application of the model was based on the 2016 household travel survey data of the Greater Toronto and Hamilton Area (GTHA). The empirical model accommodates all traditional modes along with newly introduced mobility services, e.g. Uber. The empirical model reveals that Uber and Taxi users tend to have different mode choice patterns than non-users of such services. It is also found that millennials mode choice preference is different from the rest of the population. The validation results of the empirical model justify the proposed approach as practice-ready modelling framework.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB00 Section - Travel Analysis Methods.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
    • Hasnine, Md Sami
    • Habib, Khandker Nurul
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 25p

Subject/Index Terms

Filing Info

  • Accession Number: 01697695
  • Record Type: Publication
  • Report/Paper Numbers: 19-00715
  • Files: TRIS, TRB, ATRI
  • Created Date: Mar 1 2019 3:51PM