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Discrete Choice Analysis: Theory and Application to Travel Demand (Transportation Studies), by Moshe Ben-Akiva, Steven R. Lerman
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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.
- Sales Rank: #858472 in Books
- Published on: 1985-12-18
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.20" w x 5.75" l, 1.69 pounds
- Binding: Hardcover
- 384 pages
Most helpful customer reviews
12 of 14 people found the following review helpful.
Excellent treatment of transportation travel demand
By A Customer
This book is intended for serious graduate students who wish to learn demand analysis. This book is used as a text for the demand analysis course at MIT for 1st/2nd year grad students. Rigorous statistical and econometric background is a must preparation for this book. Includes very crisp and elegant proofs and dicussion. Impressive methodological treatment for demand analysis. Although all examples are drawn from the Transportation field, the content can easily be implemented for Marketing Science and other fields.
12 of 14 people found the following review helpful.
An overall good book that needs some update and expansion.
By jwu@totalres.com
Two knowledgable authors gave in-depth treatments on the subject of DCM. The math is fairly easy to follow in most places. The biggest strength is a nice combination of theoretical and practical issues. The readers however should be benefitted from a new edition, which should include, among other things, extended exposures on ordered responses and grouped/aggregated data analyses with DCM. An introduction to the existing software and relevant issues should also be a plus.
0 of 0 people found the following review helpful.
A very good textbook for beginners
By Jyan Wu
Has very detailed contents. So no need to worry if you are not that good at Math. It has a few examples about how to interpret your model outputs. It was a great help for my homework when I was taking a discrete choice modeling class. Actually, it was the designated text book we used for that class.
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