Full Description
Transportation Modelsquality 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 (R), MATLAB (R), R, and STATA (R) software source coding for each. An online companion site provides slides, exercises, solutions and data that will be useful for academic learners.
Contents
1. Introduction to Transport Models2. Introduction to SAS Programming3. Statistical Prerequisites4. Simulation5. Data Imputation6. Matrix Estimation Methods7. Discrete Choice Models8. Logit and Nested Logit9. Model Specification10. Estimation of Choice Models11. Trip Generation12. Trip Distribution13. Destination Choice Modeling14. Assignment Models15. Model Forecasting16. System Convergence17. Cost-Benefit Assessment18. Overview of Data19. Code Appendix20. Help to Selected Exercises
