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Discrete Choice Analysis
Theory and Application to Travel Demand
Moshe Ben-Akiva and Steven Lerman
The methods of discrete choice analysis andtheir applications in the modelling of transportation systemsconstitute a comparatively new field that has largely evolved over thepast 15 years. Since its inception, however, the field has developedrapidly, and this is the first text and reference work to cover thematerial systematically, bringing together the scattered and ofteninaccessible results for graduate students and professionals.
Discrete Choice Analysis presents these results in such a waythat they are fully accessible to the range of students andprofessionals who are involved in modelling demand and consumerbehavior in general or specifically in transportation - whether fromthe point of view of the design of transit systems, urban and transporteconomics, public policy, operations research, or systems managementand planning.
The introductory chapter presents the background of discrete choiceanalysis and context of transportation demand forecasting. Subsequentchapters cover, among other topics, the theories of individual choicebehavior, binary and multinomial choice models, aggregate forecastingtechniques, estimation methods, tests used in the process of modeldevelopment, sampling theory, the nested-logit model, and systems ofmodels.
Moshe Ben-Akiva and Steven R. Lerman are both faculty members of theCivil Engineering Department at MIT and affiliated with its Center forTransportation Studies. Discrete Choice Analysis is ninth in the MIT Press Series in Transportation Studies, edited by Marvin Manheim.
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