Discrete Choice Analysis: Theory and Application to Travel Demand (Transportation Studies)

The methods of discrete choice analysis and their applications in the
modelling of transportation systems constitute a comparatively new field that has
largely evolved over the past 15 years. Since its inception, however, the field has
developed rapidly, and this is the first text and reference work to cover the
material systematically, bringing together the scattered and often inaccessible
results for graduate students and professionals.Discrete Choice Analysis presents
these results in such a way that they are fully accessible to the range of students
and professionals who are involved in modelling demand and consumer behavior in
general or specifically in transportation - whether from the point of view of the
design of transit systems, urban and transport economics, public policy, operations
research, or systems management and planning.The introductory chapter presents the
background of discrete choice analysis and context of transportation demand
forecasting. Subsequent chapters cover, among other topics, the theories of
individual choice behavior, binary and multinomial choice models, aggregate
forecasting techniques, estimation methods, tests used in the process of model
development, sampling theory, the nested-logit model, and systems of models.Moshe
Ben-Akiva and Steven R. Lerman are both faculty members of the Civil Engineering
Department at MIT and affiliated with its Center for Transportation Studies.
Discrete Choice Analysis is ninth in the MIT Press Series in Transportation Studies,
edited by Marvin Manheim.