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What Matters Most in Transportation Demand Model Specifications: A Comparison of Outputs in a Mid-size Network

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  • Chen, T. Donna
  • Kockelman, Kara M.
  • Zhao, Yong

Abstract

This paper examines the impact of travel demand modeling (TDM) disaggregation techniques in the context of medium-sized communities. Specific TDM improvement strategies are evaluated for predictive power and flexibility with case studies based on the Tyler, Texas, network. Results suggest that adding time-of-day disaggregation, particularly in conjunction with multi-class assignment, to a basic TDM framework has the most significant impacts on outputs. Other strategies shown to impact outputs include adding a logit mode choice model and incorporating a congestion feedback loop. For resource-constrained communities, these results show how model output and flexibility vary for different settings and scenarios.

Suggested Citation

  • Chen, T. Donna & Kockelman, Kara M. & Zhao, Yong, 2015. "What Matters Most in Transportation Demand Model Specifications: A Comparison of Outputs in a Mid-size Network," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 54(2).
    • Handle: RePEc:ags:ndjtrf:241829
    DOI: 10.22004/ag.econ.241829
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    References listed on IDEAS

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    1. Florian, Michael & Gaudry, Marc & Lardinois, Christian, 1988. "A two-dimensional framework for the understanding of transportation planning models," Transportation Research Part B: Methodological, Elsevier, vol. 22(6), pages 411-419, December.
    2. Smalkoski, Brian & Levinson, David, 2005. "Value of Time for Commercial Vehicle Operators," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 44(1).
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    Cited by:

    1. Bat-hen Nahmias-Biran & Jimi B. Oke & Nishant Kumar & Carlos Lima Azevedo & Moshe Ben-Akiva, 2021. "Evaluating the impacts of shared automated mobility on-demand services: an activity-based accessibility approach," Transportation, Springer, vol. 48(4), pages 1613-1638, August.

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    Industrial Organization; Public Economics;

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