1998RePEc: Research Papers in EconomicsRequires access

The demand for transportation: models and applications

Kenneth A. Small, Clifford Winston

Open publisher page 109 citations

Abstract

This chapter describes how transportation demand is analyzed and what has been learned from doing so. We first present a selection of the most important transportation demand models, with an emphasis on disaggregate models because they have generally been the most successful in capturing essential features of travel behavior. We then show how the models have enriched our substantive knowledge of the demand for transportation, and discuss how they have been used to address important transportation policy issues.

About this research paper

What this paper is about

This chapter describes how transportation demand is analyzed and what has been learned from doing so. We first present a selection of the most important transportation demand models, with an emphasis on disaggregate models because they have generally been the most successful in capturing essential features of travel behavior. We then show how the models have enriched our substantive knowledge of the demand for transportation, and discuss how they have been used to address important transportation policy issues.

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OpenAlex reports 109 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This chapter describes how transportation demand is analyzed and what has been learned from doing so. We first present a selection of the most important transportation demand models, with an emphasis on disaggregate models because they have generally been the most successful in capturing essential features of travel behavior. We then show how the models have enriched our substantive knowledge of the demand for transportation, and discuss how they have been used to address important transportation policy issues.

Key concepts: Demand management, Demand forecasting, Selection (genetic algorithm), On demand, Transportation planning, Transport engineering, Economics, Computer science

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