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

Ben-Akiva, Moshe; Lerman, Steven R.

ISBN 10: 0262536404 / ISBN 13: 9780262536400

Published by MIT Press, 2018

About this Item

Seller Inventory # 9780262536400

Bibliographic Details

• Title: Discrete Choice Analysis: Theory and Application to Travel Demand (Transportation Studies)
• Publisher: MIT Press
• Publication Date: 2018
• Language: English
• ISBN 10: 0262536404
• ISBN 13: 9780262536400
• Binding: Soft cover
• Condition: New
• Dimensions: 2.62W x 15.24H x 22.86D centimeters 2.62 centimeters width by 15.24 centimeters height by 22.86 centimeters depth
• Weight: 590 grams

About this title

Synopsis

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 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.

Discrete Choice Analysis is ninth in the MIT Press Series in Transportation Studies, edited by Marvin Manheim.

About the Author

Moshe Ben-Akiva is a faculty member of the Civil Engineering Department at MIT and affiliated with its Center for Transportation Studies.

Steven R. Lerman is a faculty member of the Civil Engineering Department at MIT and affiliated with its Center for Transportation Studies.