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

Caroline Rodier, John Gibb and Yunwan Zhang

Institute of Transportation Studies, Working Paper Series from Institute of Transportation Studies, UC Davis

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

Keywords: Social and Behavioral Sciences; Highway capacity; Highway travel; Metropolitan planning organizations; Traffic congestion; Traffic simulation; Travel demand; Vehicle miles of travel (search for similar items in EconPapers)
Date: 2025-02-01
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