Abstract
In 1992, the Federal Highway Administration awarded small research contracts to four teams of transportation researchers to design alternative approaches for improving the urban travel demand forecasting process. The purpose of these contracts was to enable each research team to explain how transportation planning models could and should be improved to meet the new forecasting requirements brought on by recent legislation, to address the impacts of new transportation technology, and to exploit the travel behavior theories and methodologies that have developed over the past two decades.
This paper presents a summary and synthesis of the ideas which emerged from the four research reports. Its purpose is to identify common themes suggested by several of the research teams, to point out what appear to be critical elements missing from some approaches, and to combine the best aspects of the four approaches into a research plan for improving the current generation of travel demand models.
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Abbreviations
- CAAA:
-
Clean Air Act Amendments
- FHWA:
-
Federal Highway Administration
- GIS:
-
Geographic Information System
- IIA:
-
Independence of Irrelevant Alternatives
- IT:
-
Information Technology
- IVHS:
-
Intelligent Vehicle Highway System
- SUE:
-
Stochastic User Equilibrium
- TCM:
-
Transportation Control Measures
- UTPS:
-
Urban Transportation Planning System
- VMT:
-
Vehicle Miles of Travel
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The paper was prepared as a report for the Federal Highway Administration.
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Spear, B.D. New approaches to transportation forecasting models. Transportation 23, 215–240 (1996). https://doi.org/10.1007/BF00165703
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DOI: https://doi.org/10.1007/BF00165703