Previous research has envisioned behavior changes with the availability of shared autonomous vehicle (SAV) services. It is expected that SAVs will compete with conventional human-driven vehicles and lead to a shift in mode share. If designed as single-occupancy, low-speed, and lightweight, SAVs can also be considered a micro-mobility mode targeting short-distance trips in geofencing areas, which has been lacking in discussion in the state-of-the-art literature. To address this gap, this study envisions changes in mode choice with the implementation of a single-occupancy Shared Low-speed Light-weight Autonomous Mobility (SLLAM) system deployed, serving trips at speeds below 25 mph. Agent-based simulations are conducted to evaluate the mode share of the SLLAM system. The findings demonstrate that the SLLAM system has the potential to serve 36.98% of the trip demand in the study area. Increased operating speeds enhance the SLLAM mode share, making it a more attractive option for existing private vehicle trips.


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    Titel :

    Shared low-speed autonomous vehicles for short-distance trips: agent-based modeling with mode choice analysis


    Weitere Titelangaben:

    TRANSPORTATION PLANNING AND TECHNOLOGY
    Z. ZHANG ET AL.


    Beteiligte:
    Zhang, Zihe (Autor:in) / Liu, Jun (Autor:in) / Nie, Qifan (Autor:in) / Jones, Steven (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    17.02.2025


    Format / Umfang :

    29 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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