Abstract
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 influence 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 Affect 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.
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Acknowledgements
This project is part of the activities of SCCER CREST, which is financially supported by the Swiss Commission for Technology and Innovation (Innosuisse). The current version also utilises data from the Mobility and Transport Microcensus—2015 edition, which provided by the Federal Office for Spatial Development (ARE) in October 2017.
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Nguyen, K., Schumann, R. (2021). An Exploratory Comparison of Behavioural Determinants in Mobility Modal Choices. In: Ahrweiler, P., Neumann, M. (eds) Advances in Social Simulation. ESSA 2019. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-61503-1_54
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