Content | The course provides the necessary knowledge to develop models to understand travel behaviour and travel demand, and to support the solution of given planning problems. It also introduces cost-benefit analysis as a decision-making tool. Examples of such planning problems are the estimation of traffic volumes, prediction of estimated utilization of new public transport lines, and evaluation of effects (e.g. change in emissions of a city) triggered by building new infrastructure and changes to operational regulations. To cope with that, the problem is divided into sub-problems, which are solved using various statistical models and algorithms.
The course is composed of a lecture part, providing the theoretical knowledge, and an applied part in which students develop their own models in order to analyse travel behaviour, develop a traditional transport model and to evaluate a transport project/ policy by means of cost-benefit analysis. Regular lab session take place to guide and support students with the applied part of the course. |
Literature | Willumsen, P. and J. de D. Ortuzar (2024) Modelling Transport, Wiley, Chichester.
Van Wee, B., Annema, J.A., Banister, D. and Pudāne, B. (2023) The Transport System and Transport Policy, An Introduction. Second Edition. Cheltenham, UK • Northampton, MA, USA
Pearl, J., Glymour, M., and Jewell N.P. (2016) Causal Inference in Statistics. Wiley and Sons.
Cascetta, E. (2001) Transportation Systems Engineering: Theory and Methods, Kluwer Academic Publishers, Dordrecht.
Sheffi, Y. (1985) Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods, Prentice Hall, Englewood Cliffs.
Other: Schnabel, W. and D. Lohse (1997) Verkehrsplanung, 2. edn., vol. 2 of Grundlagen der Strassenverkehrstechnik und der Verkehrsplanung, Verlag für Bauwesen, Berlin.
McCarthy, P.S. (2001) Transportation Economics: A case study approach, Blackwell, Oxford. |