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A large proportion of traffic congestion can be attributed to commuters and their travelling behavior. While smart mobility systems (SMSs) intend to address related challenges by actively changing commuters’ behavior, many SMSs lack commuters’ meaningful engagement. Research and practice have started examining engagement factors that increase meaningful engagement with SMSs. The existing approaches, however, often neglect individual commuting-related needs and personal traits – two crucial facets to sustain these systems’ long-term engagement. This paper identifies relevant traffic-related needs and personal traits suitable to improve meaningful engagement. We developed a theoretically sound instrument to categorize commuters in the context of smart mobility and derive first clusters from a pilot study. In the process, we synthesize existing commuter categorizations from psychology and traffic research. This synthesis centers around individual commuting-related needs, personal traits, and objective commuting characteristics. The instrument and pilot study represent a first step toward designing sustainable SMSs with meaningful engagement.



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