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Conventional four-step travel demand modeling is overdue for a major update. The latest NITC report from University of Utah offers planners a better predictive accuracy through an improved model, allowing for much greater sensitivity to new variables that affect travel behavior. Specifically, it accounts for varying rates of vehicle ownership, intrazonal travel, and multimodal mode choices. Used by nearly all metropolitan planning organizations (MPOs), state departments of transportation, and local planning agencies in the United States, the importance of travel demand modeling for project selection cannot be overstated: They are the basis for forecasting future travel patterns and developing long-range regional plans.


This is a summary of TREC research project NITC-RR-1086, which can be found online at

Final Report NITC-RR-1086 can be found at:

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