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Sensitivity Testing of Induced Highway Travel in the Sacramento Regional Travel Demand Model

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  • Rodier, Caroline
  • Gibb, John
  • Zhang, Yunwan

Abstract

Since the 1970s, stakeholders have expressed concerns about the ability of transportation travel demand used by metropolitan planning organizations to represent induced travel from expanded highway capacity. Failure to adequately represent induced travel will underestimate vehicle miles traveled and congestion when comparing scenarios with and without highway capacity expansion. To examine the magnitude of potential biases, the authors use the state-of-the-practice transportation demand model, the Sacramento Council of Governments (SACOG) SACSIM19 model, to examine (1) the model's representation of induced travel, (2) the influence of variation in key inputs on vehicle travel and roadway congestions, and (3) the effect of changes in induced travel-related input variables on the comparisons of scenarios with and without highway expansions. View the NCST Project Webpage

Suggested Citation

  • Rodier, Caroline & Gibb, John & Zhang, Yunwan, 2025. "Sensitivity Testing of Induced Highway Travel in the Sacramento Regional Travel Demand Model," Institute of Transportation Studies, Working Paper Series qt0jc0v1gn, Institute of Transportation Studies, UC Davis.
    • Handle: RePEc:cdl:itsdav:qt0jc0v1gn
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    1. de Palma, Andre & Picard, Nathalie & Waddell, Paul, 2007. "Discrete choice models with capacity constraints: An empirical analysis of the housing market of the greater Paris region," Journal of Urban Economics, Elsevier, vol. 62(2), pages 204-230, September.
    2. Robert Cervero & Mark Hansen, 2002. "Induced Travel Demand and Induced Road Investment: A Simultaneous Equation Analysis," Journal of Transport Economics and Policy, University of Bath, vol. 36(3), pages 469-490, September.
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