TU Delft
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2017/2018 Technology, Policy and Management Master Complex Systems Engineering and Management
Travel Behaviour Research
Module Manager
Name E-mail
Dr.ir. M. Kroesen    M.Kroesen@tudelft.nl
Name E-mail
Dr.ir. S. van Cranenburgh    S.vanCranenburgh@tudelft.nl
Dr.ir. M. Kroesen    M.Kroesen@tudelft.nl
Dr. E.J.E. Molin    E.J.E.Molin@tudelft.nl
Responsible for assignments
Name E-mail
Dr.ir. M. Kroesen    M.Kroesen@tudelft.nl
Co-responsible for assignments
Name E-mail
Dr. E.J.E. Molin    E.J.E.Molin@tudelft.nl
Contact Hours / Week x/x/x/x
Education Period
Start Education
Exam Period
Course Language
Expected prior knowledge
Knowledge about basic statistics and data-analysis (hypothesis testing, regression) is expected as prior knowledge.
Course Contents
In this course students will learn how to perform travel behaviour research and how to translate the findings from such research into recommendations for transport policy design.
In the first part of the course (consisting of lectures) the students will acquire knowledge about the six modelling paradigms in travel behaviour research, namely the econometric, psychological, geographical, biographical, marketing and sociological paradigm. The strengths and weaknesses of each paradigm will be discussed. In addition, three state-of-the-art methods to analyse travel behaviour (latent class choice models, latent class clusters models and structural equation models) will be discussed. These methods figure prominently within the six modelling paradigms.
In the second half of the course the acquired knowledge will be applied in an empirical research project. Each year a topic of interest will be chosen, such as the electric bike, short-distance travel behaviour, airline travel, etc.
Study Goals
After this course the students will be able:
(1) to carry out a travel behaviour study and report the research and its findings in a concise scientific paper.
(2) to translate the study findings to recommendations for transport policy design.
Education Method
Computers practicals
Group project (4-5 persons)
Computer Use
In the course the following statistical softwarepackages will be used: SPSS, Latent Gold and AMOS
Knowledge about the modelling paradigms and three methods will be tested in an individual exam in week 5, which accounts for 50% of the final grade.
The group project will result in a scientific paper (6,000-8,000 words) (deadline in week 9), which also accounts for 50% of the final grade.
Both grades should be >5.75 to pass the course. Both parts can be separately passed.