Long, medium, and short-term decisions made by travellers are the main determinants of the everyday use of transport networks. Therefore, investigating transportation from the users’ perspective and understanding determinants of their multiple travel related choices is key to effectively plan and manage urban transport. Humans are independent decision makers and heterogeneous by nature, which makes the job of predicting demand and modelling behaviour particularly challenging. We draw from behavioural and social sciences, psychology, and economics to develop modelling methods to better understand and predict users’ preferences and choices. While econometrics and statistics, especially discrete choice models, form the basis of the analytical tools that we develop, we also utilise mixed-methods approaches to work on new theories and to better understand users’ response to the fast-changing technological and multimodal transport environment.