Abstract
The new concept of Mobility as a Service (MaaS) contains providing access to different travel options such as public transport, car sharing and bike rental by one common digital platform. MaaS development often lacks to take a user-centered view. This can be achieved by aiming to make cognitive user effort as low as possible which is the case in routine behavior. Hence, this study examines how travel mode routines relate to travel mode choice in different situations and what can be derived from that relationship with regard to service design of MaaS. This goal is addressed by a secondary data analysis of 80 questionnaires and mobility diaries from a corporate MaaS pilot study at Chemnitz University of Technology, Germany in 2014. In total, 4198 trips became part of analysis. For these trips, mode choice prediction was done by generalized hierarchical regression modeling with routine measures and trip purposes as predictors. Results showed that in business and leisure situations, car routine strength doesn’t predict car use as much as in other situations. Interaction effects imply that even users with high car routine could be susceptible to propositions of alternative transport modes in those situations. With the goal of overcoming car de-pendent routines, this suggests that chances of success are highest in corporate MaaS or tourism services. It could be shown that knowledge about travel mode routines can provide useful information for designing MaaS as genuine alternative or complement to private car usage.
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Langer, D., Bullinger, A.C. (2020). User Requirement? Travel Mode Choice Routines Across Different Trip Types. In: Stephanidis, C., Duffy, V.G., Streitz, N., Konomi, S., Krömker, H. (eds) HCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments. HCII 2020. Lecture Notes in Computer Science(), vol 12429. Springer, Cham. https://doi.org/10.1007/978-3-030-59987-4_9
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