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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2012. Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand. Washington, DC: The National Academies Press. doi: 10.17226/22689.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2012. Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand. Washington, DC: The National Academies Press. doi: 10.17226/22689.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2012. Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand. Washington, DC: The National Academies Press. doi: 10.17226/22689.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2012. Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand. Washington, DC: The National Academies Press. doi: 10.17226/22689.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2012. Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand. Washington, DC: The National Academies Press. doi: 10.17226/22689.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2012. Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand. Washington, DC: The National Academies Press. doi: 10.17226/22689.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2012. Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand. Washington, DC: The National Academies Press. doi: 10.17226/22689.
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176 Abdelghany, A. F., and H. S. Mahmassani. 2003. Temporal-Spatial Micro- assignment and Sequencing of Travel Demand with Activity-Trip Chains. In Transportation Research Record: Journal of the Transporta- tion Research Board, No. 1831, Transportation Research Board of the National Academies, pp. 89–97. Abou-Zeid, M., T. F. Rossi, and B. Gardner. 2006. Modeling Time-of- Day Choice in Context of Tour- and Activity-Based Models. Trans- portation Research Record: Journal of the Transportation Research Board, No. 1981, Transportation Research Board of the National Academies, Washington, D.C., pp. 42–49. Abrantes, P., and M. Wardman. 2011. Meta-analysis of UK values of travel time: An update. Transportation Research Part A: Policy and Practice, Vol. 45, No. 1, Elsevier. Adler, T., Y. Dehghani, M. Doherty, J. Klodzinski, and W. Olsen. 2005. A Multi-Period Toll Mode Choice Model for Florida’s Turnpike Enterprise. 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 Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand
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TRB’s second Strategic Highway Research Program (SHRP 2) Report S2-C04-RW-1: Improving Our Understanding of How Highway Congestion and Pricing Affect Travel Demand includes mathematical descriptions of the full range of highway user behavioral responses to congestion, travel time reliability, and pricing. The descriptions included in the report were achieved by mining existing data sets. The report estimates a series of nine utility equations, progressively adding variables of interest.

The report explores the effect on demand and route choice of demographic characteristics, car occupancy, value of travel time, value of travel time reliability, situational variability, and an observed toll aversion bias.

An unabridged, unedited version of Chapter 3: Demand Model Specifications and Estimation Results is available electronically.

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