Data collection is required in many disciplines including transportation planning, urban planning, and behavioural science in order to validate the formulated conceptual frameworks and statistical models. While collecting data from the real world is one way to move forward, it may come with the problem of obtaining data which is not statistically rigorous and bias free for building statistical models. To rule out certain biased and get more pure causal effect, data collection by designing stated choice experiment is an alternative method. If it is applied correctly, it can guarantee the appropriateness of the data for various analysis.
This course covers:
Data collection methods, stated preference and choice experiment.
10:00 – 12:30 h: Stated preference and choice models
12:30 – 13:30 h: Lunch
13:30 – 16:00 h: Stated preference and choice models
10:00 – 12:30 h: Working on an example
Hand-outs of the presentations will be given to the participants during lectures.
Basic knowledge of mathematics and statistics.
Lecturers: Prof. Soora Rasouli & Valeria Caiati (TUE)
Course dates & time:
4 April: 10.00 -16.00 h
5 April: 10.00 – 12.30 h
TUE campus map
ECTS: 1 (attending all lectures on 4 & 5 April)
Participation: free for TRAIL/Beta/OML members and PhD students of participating faculties
Registration is required: click here.