Urban Travel Demand Modeling: From Individual Choices to General Equilibrium / Edition 1

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Overview

A state-of-the-art approach to urban travel demand modeling

Currently used travel forecasting methodology was developed almost three decades ago, primarily to assess the impacts of large-scale capital improvement projects, and was not designed to deal with contemporary urban transportation problems. To be effective today, travel demand models must explicitly represent traveler behavior, must be policy-sensitive, and must be operationally reliable.

Urban Travel Demand Modeling: From Individual Choices to General Equilibrium presents an integrated system of models which overhaul the four traditional phases of travel generation, modal split, trip distribution, and network assignment. This book shows, for the first time, how generalized network equilibrium may be rigorously forecast from the optimal travel choices of "trip consumers" without the need to resort to heuristic procedures such as feedbacks. In addition, models for optimal transportation supply decisions are integrated with the demand models. Transit travel and goods movements are specifically addressed.

To make this book as self-contained as possible, the author provides review material on the mathematics required and the basic concepts of discrete choice modeling. Numerical examples throughout the book demonstrate the calibration and use of the models in a variety of situations, including uncongested and congested networks. Review problems are systematically provided, many with solutions. Illustrative add-on software for model implementation on several popular platforms is also available separately.

Urban Travel Demand Modeling may be used at the senior and graduate levels in civil engineering, economics, operations research, urban and regional planning, and geography courses. Transportation professionals in the private and public sectors, academics and researchers, will also find this methodology a rich, versatile, and efficient tool with which to address major urban transportation issues, including demand management, road and parking pricing, environmental impacts, changing socioeconomic and activity patterns, and urban development.

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Editorial Reviews

Booknews
For senior- and graduate-level courses, as well as for transportation professionals, academics, and researchers, Oppenheim (Institute for Transportation Systems, CUNY) presents state-of-the-art modeling techniques that can be used to predict and plan for transportation problems as well as other activities such as land use, city planning, and traffic engineering. He combines a GIS dedicated to transportation planning and modeling with economic supply and demand theory, using a "traveler as consumer" framework. Includes numerous illustrative examples; review problems, many with solutions; and an appendix that reviews the necessary math. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780471557234
  • Publisher: Wiley
  • Publication date: 2/6/1995
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 480
  • Product dimensions: 9.00 (w) x 6.00 (h) x 1.12 (d)

Meet the Author

NORBERT OPPENHEIM is Professor of Transportation in the Civil Engineering Department of The City College of New York, and at the Graduate Center, both of the City University of New York (CUNY), as well as on the staff of the Institute for Transportation Systems of CUNY. He received his PhD in civil engineering from the University of California at Berkeley. Among his many publications is Applied Models in Urban and Regional Analysis. He serves on the editorial board of Transportation Research, B. His current research interests are in network analysis, spatial demand modeling, and decision support systems.

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Table of Contents

1 Introduction: Modeling Urban Travel Demand 1
2 Modeling Travelers' Decisions as Discrete Choices 27
3 Route Choice on Uncongested Networks 63
4 Combined Travel Demand Modeling Under Uncongested Conditions 110
5 Route Choice Modeling Under Congested Conditions 135
6 Combined Travel Demand Modeling Under Congested Conditions 196
7 Model Parameter Estimation 252
8 Joint Equilibrium Modeling of Activity and Travel Systems 300
9 Optimal Transportation Supply 331
App. A Mathematical Background 352
App. B Solutions to Selected Exercises 388
App. C Alphabetical List of Symbols 447
Bibliography 453
A Final Note 464
Author Index 465
Subject Index 467
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