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.
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Most Helpful Customer Reviews
12 of 14 people found the following review helpful:
4.0 out of 5 stars
An overall good book that needs some update and expansion.,
By jwu@totalres.com (Princeton, New Jersey) - See all my reviews
This review is from: Discrete Choice Analysis: Theory and Application to Travel Demand (Transportation Studies) (Hardcover)
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.
12 of 14 people found the following review helpful:
5.0 out of 5 stars
Excellent treatment of transportation travel demand,
By A Customer
This review is from: Discrete Choice Analysis: Theory and Application to Travel Demand (Transportation Studies) (Hardcover)
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.
2 of 3 people found the following review helpful:
5.0 out of 5 stars
A classic book for graduate students in transportation engineering,
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This review is from: Discrete Choice Analysis: Theory and Application to Travel Demand (Transportation Studies) (Hardcover)
Very good book by the top scientist in the field of transport demand modeling. Useful to have it in the library if you are a professional.
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Inside This Book
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First Sentence:
Demand forecasting is an essential element in the analysis of transportation systems. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
joint logit model, workplace dummy, multidimensional choice set, elemental alternatives, multidimensional choice situations, trip mode shares, multidimensional choice models, household income proxy, disaggregate travel demand models, marginal choice probabilities, mode choice example, nested logit form, worker dummy, auto ownership level, joint choice model, logit model form, nonwork travel, destination choice model, destination dummy, carpool incentives, full choice set, mode choice model, multinomial choice models, disaggregate choice models, household auto ownership Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Theories of Individual Choice Behavior, Variable Coefficient Asymptotic, Aggregate Forecasting Techniques, Asymptotic Variable Coefficient, Cambridge Systematics New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Demand forecasting is an essential element in the analysis of transportation systems. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
joint logit model, workplace dummy, multidimensional choice set, elemental alternatives, multidimensional choice situations, trip mode shares, multidimensional choice models, household income proxy, disaggregate travel demand models, marginal choice probabilities, mode choice example, nested logit form, worker dummy, auto ownership level, joint choice model, logit model form, nonwork travel, destination choice model, destination dummy, carpool incentives, full choice set, mode choice model, multinomial choice models, disaggregate choice models, household auto ownership Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Theories of Individual Choice Behavior, Variable Coefficient Asymptotic, Aggregate Forecasting Techniques, Asymptotic Variable Coefficient, Cambridge Systematics New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 28
books:
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71
books
cite this book:
See all 71 books citing this book
- Structural Analysis of Discrete Data with Econometric Applications by Charles F. Manski on 4 pages
- Urban Transportation Planning by Michael Meyer on page 1, and Back Matter
- Probit Analysis by D. J. Finney in Back Matter
- Automobile and the Environment by Gakenheimer in Front Matter
- The Urban Transportation System: Politics and Policy Innovation (Harvard-MIT Joint Center for Urban Studies Series) by Alan A. Altshuler in Front Matter
See all 28 books this book cites
- Conjoint Measurement: Methods and Applications by Anders Gustafsson on 6 pages
- Travel Behaviour Research: Updating the State of Play by Juan De Dios Ortuzar on 5 pages
- Human Behaviour and Traffic Networks by Michael Schreckenberg on page 95, page 129, and page 227
- Transportation and Network Analysis: Current Trends: Miscellanea in honor of Michael Florian (Applied Optimization) by Michel Gendreau on page 93, and page 116
- Planning Support Systems: Integrating Geographic Information Systems, Models, and Visualization Tools by Richard Brail on page 126, and page 199
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