Modelling the Dynamics between Tour-Based Mode Choices and Tour-Timing Choices in Daily Activity Scheduling

The paper presents a dynamic discrete-continuous modelling approach to capture individuals’ tour-based mode choices and continuous time expenditure choices tradeoffs in a 24-hour time frame. The analysis of traditional activity-based models (ABM) are typically limited to activity type, location and time expenditure choices. Besides, mode choice is often simplified to fit in a pre-defined activity schedule. However, decisions of tour departure time, tour mode choice and time expenditure choice for out-of-home activities are intricately inter-related, and common unobserved attributes influence these choices. This paper proposes a random utility maximization (RUM) based dynamic discrete-continuous model for joint tour based mode and tour timing choices. Tour timing choice is modelled as continuous time allocation/consumption choice under 24-hour time-budget. For the tour-based mode choice component, it uses a classical dynamic discrete choice modelling approach. A cross-sectional household travel survey dataset collected in the Greater Toronto and Hamilton Area (GTHA) in 2016 is employed for the empirical investigation in this study. Empirical model shows the capability of handling all possible mode combinations within a tour including ride-hailing services (e.g., Uber, Lyft). Empirical results reveal that individuals variations in time expenditure choice are defined by activity type, employment status, and vehicle ownership. In terms of mode choice, it is clear the emerging transportation service users have different travel pattern than conventional mode users. This practice-ready modelling framework has the potential to test a wide range of travel demand management (TDM) strategies.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADB40 Standing Committee on Transportation Demand Forecasting.
  • 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: 27p

Subject/Index Terms

Filing Info

  • Accession Number: 01697411
  • Record Type: Publication
  • Report/Paper Numbers: 19-00404
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:26AM