Travel Behavior

Course guarantor:

Lecturer:

Tutor:

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:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• navaz. mag. PRE program LA 22/23 (nová akreditace) (compulsory course)
• navaz. mag. PRE program LA 23/24 (compulsory course)
• navaz. mag. PRE program LA 24/25 (compulsory course)
• navaz. mag. KOMBI program LA 24/25 (compulsory course)