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

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.


Issue Date:
2015
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/241829
Published in:
Journal of the Transportation Research Forum, Volume 54, Number 2
Page range:
71-89
Total Pages:
20




 Record created 2017-04-01, last modified 2017-08-29

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