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.
More detailed information in the attached document below.
Course leaders: Prof. Soora Rasouli & Valeria Caiati
Dates: 27 & 28 October 2022
Time: day 1: 10.00 – 17.00 h | day 2: 10.00 – 15.00 h
ECTS: 1 (attendance on both days)
Registration: this course is fully booked
Participation: free for TRAIL/Beta/OML/ERIM members (first choice) and PhD students of participating TRAIL faculties. Others please contact the TRAIL Office email@example.com.