101-0417-00L  Transport Planning Methods

SemesterAutumn Semester 2024
LecturersE. Heinen
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
101-0417-00 GTransport Planning Methods4 hrs
Mon09:45-11:30HIL C 10.2 »
Wed09:45-11:30HIT H 42 »
E. Heinen

Catalogue data

AbstractThe course provides the necessary knowledge to develop models to understand, to support and to evaluate the solution of given planning problems.
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 evaluate a transport project/policy.
Learning objective- Appraise the role of theory and data in transport planning
- Differentiate and appraise different transport planning methods (causality, 4 stage and agent based modeling, cost-benefit analysis)
- Construct a transport model by statistical methods and algorithms commonly used in transport planning
- Propose a modeling framework to analyze transport planning challenges.
a decision-making supporting tool
ContentThe 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.
Lecture notesMoodle platform (enrollment needed)
LiteratureWillumsen, 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.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Problem-solvingassessed
Personal CompetenciesCritical Thinkingassessed

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits6 credits
ExaminersE. Heinen
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationoral 30 minutes
Additional information on mode of examinationCompulsory continuous performance assessment tasks consisting of exercises and a presentation. These count towards 40% of the final grade.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Civil Engineering MasterMajor in Transport SystemsWInformation
Civil Engineering MasterDigitalisation Specific CoursesWInformation
Data Science MasterInterdisciplinary ElectivesWInformation
Geomatics MasterCore ElectivesWInformation
Integrated Building Systems MasterSpecialised CoursesWInformation
Mathematics MasterTransportation ScienceWInformation
Spatial Development and Infrastructure Systems MasterMajor in Transport Systems and BehaviourWInformation
Science, Technology, and Policy MasterCase StudiesWInformation