Résumé
The rising demand for mobility in the 21st century creates a
challenge for interdisciplinary researchers. As a result, the number of papers
devoted to the application of agent-based technologies in the transportation
engineering domain has grown enormously. However, there is
still a need for modelling platforms that are capable of exploring the in-
uence of different psychological factors on individual decision-making.
By utilising our current mobility simulator - BedDeM, we propose an
experimental method to test and investigate the impact of core determinants
in Triandis' Theory of Interpersonal Behaviour on the usage of
different transportation modes. Comparing the results with a calibrated
population of Swiss household data, we conclude that Intention and Af-
fect have a positive effect on the usage of private vehicles, while Habit
and Social factors can encourage people to travel with public or soft
transportation modes.