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Simulating the Impact of Shared Mobility on Demand: a Study of Future Transportation Systems in Gothenburg, Sweden
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP). K2 – The Swedish Knowledge Centre for Public Transport.ORCID iD: 0000-0002-8209-0921
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). K2 – The Swedish Knowledge Centre for Public Transport.ORCID iD: 0000-0002-9471-8405
Trivector Traffic, Stockholm, Sweden.
2023 (English)In: International Journal of Intelligent Transportation Systems Research, ISSN 1348-8503, Vol. 21, no 1, p. 129-144Article in journal (Refereed) Published
Abstract [en]

Self-driving cars enable dynamic shared mobility, where customers are independent of schedules and fixed stops. This study aims to investigate the potential effects shared mobility can have on future transportation. We simulate multiple scenarios to analyze the effects different service designs might have on vehicle kilometers, on the required number of shared vehicles, on the potential replacement of private cars, and on service metrics such as waiting times, travel times, and detour levels. To demonstrate how simulation can be used to analyze future mobility, we present a case study of the city of Gothenburg in Sweden, where we model travel demand in the morning hours of a workday. The results show that a significant decrease of vehicle kilometers can be achieved if all private car trips are replaced by rideshare and that shared vehicles can potentially replace at least 5 private cars during the morning peak.

Place, publisher, year, edition, pages
Springer, 2023. Vol. 21, no 1, p. 129-144
National Category
Computer and Information Sciences Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:mau:diva-57773DOI: 10.1007/s13177-023-00345-5ISI: 000919810900001Scopus ID: 2-s2.0-85146806659OAI: oai:DiVA.org:mau-57773DiVA, id: diva2:1730213
Projects
Elektriska delade självkörande fordon i det framtida fossiloberoende transportsystemet (Eldsjäl)
Funder
Vinnova, 2019-05094Region Västra Götaland, KTN 2019-00124Malmö University, IOTAPMarianne and Marcus Wallenberg Foundation, WASP-HSAvailable from: 2023-01-24 Created: 2023-01-24 Last updated: 2023-07-04Bibliographically approved

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Lorig, FabianPersson, Jan A.

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