Travel Behavior

Course guarantor:

Vít Janoš, Milan Kříž

Lecturer:

Vít Janoš, Milan Kříž

Tutor:

Vít Janoš, Milan Kříž

Supervisor:

Department of Smart Cities and Regions

Synopsis:

Investigation of causal effects in travel behavior research (quasi-experimental and experimental approaches). Data collection (theory of measurement; design of research instrument and data collection). Analysis and interpretation of data (advanced regression models; issues of analysis and interpretation of results: effect size, practical vs. statistical significance). Analysis and interpr. of data (surveys, choice exp., panel. data).

Requirements:

basic statistical inference

Syllabus of lectures:

Syllabus of tutorials:

Study Objective:

Understanding of methods of data collection and advanced knowledge of analytical methods of travel behavior. Students will acquire knowledge in socio-psychological and economic theories to apply the models and interpret their results. Students will learn to conduct their own research and to analyze data in R.

Study materials:

BEN-AKIVA, M., E., LERMAN, S., R. Discrete Choice Analysis. MIT, kap. 3, 4., 1985

LOUVIERE, J., J., HENSHER, D., A., SWAIT, J., D. Stated Choice Methods. Analysis and Applications. Cambridge University Press, 2000

TRAIN, K. Discrete Choice Methods with Simulation. Cambridge University Press, 2003

Note:

Time-table for winter semester 2024/2025:

Time-table is not available yet

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans:

• Master Full-Time LA from 2022/23 (compulsory course)
• Master Full-Time IS (joint degree) from 2023/24 (compulsory course)
• Master Full-Time LA from 2024/25 (compulsory course)
• Master Part-Time LA from 2024/25 (compulsory course)