Simulation of policies for automated ride-hailing and ride-pooling services
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Autor:in (Körperschaft)
Publikationsdatum
05.01.2025
Typ der Arbeit
Studiengang
Sammlung
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Transportation Research Board
Betreuer:in
Übergeordnetes Werk
Proceedings of the 104th Annual Meeting of the Transportation Research Board (TRB 2025)
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DOI der Originalpublikation
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Verlag / Herausgebende Institution
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Washington D.C.
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Zusammenfassung
Automated vehicles are becoming more prevalent, and the disruption they would cause in combination with ride-hailing and ride-pooling services could be tremendous. Therefore, this study investigates the impacts of ride-hailing and ride-pooling automated fleets in two Swiss cities, Chur and Zurich, and potential policy measures to steer their operations towards more sustainable solutions.
We employ the results of the stated preference survey and combine the estimated mode-choice and car ownership model results with the agent-based simulation, MATSim, to simulate the impacts of various scenarios. We find that automated ride-hailing (aRH) and automated ride-pooling (aRP) services do not seem to be competing for the same demand. In general, these services would lead to a reduction in total travel time but an increase in total vehicle distance, which is more substantial in transit-oriented Zurich than in car-oriented Chur. Furthermore, we found that even though the proposed policies increased vehicle occupancy, they did not manage to overcome the increase in VKT, signaling the need for more targeted policies and operational strategies. Finally, we provide recommendations for transport policy and future research based on our findings.
Schlagwörter
Automated vehicles, Ride-pooling, Transport policies, Agent-based simulation, MATSim
Fachgebiet (DDC)
624 - Ingenieurbau und Umwelttechnik
Veranstaltung
Proceedings of the 104th Annual Meeting of the Transportation Research Board (TRB 2025)
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
05.01.2025
Enddatum der Konferenz
09.01.2025
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Zero Emission
Publikationsstatus
Veröffentlicht
Begutachtung
Peer-Review der ganzen Publikation
Open Access-Status
Closed
Lizenz
Zitation
KAGHO, Grace, Milos BALAC, Michael VAN EGGERMOND und Alexander ERATH, 2025. Simulation of policies for automated ride-hailing and ride-pooling services. In: Transportation Research Board (Hrsg.), Proceedings of the 104th Annual Meeting of the Transportation Research Board (TRB 2025). Washington D.C. 5 Januar 2025. Verfügbar unter: https://irf.fhnw.ch/handle/11654/49582