"Modelling Choices in Transportation" (MVWING 2025 - 5.20) is an elective module within the M.Sc. VWING und M.Sc. BAUING study programmes.

Students know the purposes of discrete choice models in general and in particular in cycling science as well as the mathematical functioning of different types of models. Students are able to judge what data is needed and used for discrete choice models. They are able to develop a model structure and utility functions for a specific problem and interpret the model results. Students can use a programming language (for example Python) in data management and processing and are proficient in quantitative analysis and reporting methods.

Discrete choice models are similar to other statistical regression models, but represent discrete, i.e. ‘either-or’ decisions. They are used in transport models in particular to determine choice probabilities for individuals or groups of people, for example in ownership, destination, mode or route selection. They are also used to analyse the choice behaviour and preferences of travellers, for example the following questions: Is there a causal relationship between gender and mode choice? How much of a diversion are cyclists willing to take in order to use a cycle highway?

In the exercise, students apply the theory from the lecture in practice using example data sets. Using suitable software, e.g. the Python package Pandas Biogeme, they interactively develop their own choice model with utility functions for a data set and a cycling-specific question, which they then evaluate and interpret. As part of the exercise and written assignment, students provide and use peer feedback, critically reflect on their own work results and complete the report independently with the support of the course throughout the semester.