Abstract
The objective of the present research is to investigate the preferences towards e-scooters and to identify the most important factors that affect route choice of e-scooter users, mainly in terms of infrastructure. To collect the required data, a questionnaire-based stated preference survey was carried out, including attributes of journey time, road surface and type of road (based on the speed limit) answered 205 participants in Athens. Afterwards, a discrete choice analysis was carried out from which the utility function, that mathematically describes the route choice preferences of e-scooters users, was extracted. Results showed that the probability of choosing an e-scooter is not affected from the duration of the trip but mainly by the type of road and the road surface. A cycling street with asphalt is found to be the best combination for e-scooter users for a trip in an urban area.
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Papantoniou, P., Machaira, SI., Pagoni, I. (2023). Evaluating Route Choice Characteristics of E-Scooters. In: Nathanail, E.G., Gavanas, N., Adamos, G. (eds) Smart Energy for Smart Transport. CSUM 2022. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-031-23721-8_73
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DOI: https://doi.org/10.1007/978-3-031-23721-8_73
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