Transportation Models: From Theory to Practice helps modelers provide quality policy appraisals through a balance of theoretical stringency and practical experience. The book serves as a reference for transport researchers, with guidance for applying the most simple, practical model for each situation, such as trip generation, trip distribution, sampling and forecasting. The modeling paradigm elements of each are discussed, with details on their contribution to, and influence, on transport policies.
The book explains how transport behaviors can be documented with detailed, quantitative models based on proper data foundation, creating informed support for policy creation.
Models, such as matrix estimation methods, pivot point forecasting, discrete choice analysis, cost-benefit analysis, and stated-preference design are discussed with their application to today’s transportation issues. Various modeling implementations are included, along with SAS®, MATLAB®, R, and STATA® software source coding for each. An online companion site provides slides, exercises, solutions and data that will be useful for academic learners.
- Practically guides readers to the best transport policies supported by real-world modeling techniques
- Illustrates various model implementations for practitioners, with provided source coding for SAS®, MATLAB®, R, and STATA® modeling software
- Combines academic research and practical experience to provide proven modeling solutions
- Includes a companion website with a complete set of slides, exercises, solutions and data that is useful for both introductory and intermediate learners
Transport researchers, practitioners, and consultants, Undergraduate and graduate students in transportation programs, Transport policy makers
- Introduction to Transport Models
2. Introduction to SAS Programming
3. Statistical Prerequisites
5. Data Imputation
6. Matrix Estimation Methods
7. Discrete Choice Models
8. Logit and Nested Logit
9. Model Specification
10. Estimation of Choice Models
11. Trip Generation
12. Trip Distribution
13. Destination Choice Modeling
14. Assignment Models
15. Model Forecasting
16. System Convergence
17. Cost-Benefit Assessment
18. Overview of Data
19. Code Appendix
20. Help to Selected Exercises
- No. of pages:
- © Elsevier 2019
- 1st June 2019
- Paperback ISBN:
Jeppe Rich is an Associate Professor in Management Engineering at the Technical Institute of Denmark, in Kongens Lyngby, Denmark. He has been involved in the development of several large-scale transport models aimed at policy analysis and forecasting. He has been published on a wide variety of transportation topics, including traffic noise, cost-benefit assessment, safety modelling, model design, value-of-time, time-of-day modeling, and population synthesis. He has been published in several Elsevier journals, including Transportation Research Part A: Policy and Practice, Transportation Research Part E: Logistics and Transportation Review, Journal of Transport Geography, Transport Policy, and Accident Analysis and Prevention. Dr. Rich is also a member of the European Transport Research Review (ETRR) Advisory Board.
Associate Professor in Management Engineering, Technical Institute of Denmark, Kongens Lyngby, Denmark