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Parking space for shared automated vehicles: How less can be more

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  • Winter, Konstanze
  • Cats, Oded
  • Martens, Karel
  • van Arem, Bart

Abstract

With the anticipated introduction of self-driving vehicles, new challenges arise for urban transport- and planning authorities. This study contributes to the efforts of formulating the potential opportunities and threats stemming from the introduction of larger fleets of self-driving vehicles to our cities, and what action could be taken by transport authorities to shape this introduction beneficially. In particular, the focus is put on the impact different parking management strategies can have on the performance of a fleet of shared automated vehicles providing on-demand transport services. This analysis focuses on aspects of service efficiency, externalities and service provision equity.

Suggested Citation

  • Winter, Konstanze & Cats, Oded & Martens, Karel & van Arem, Bart, 2021. "Parking space for shared automated vehicles: How less can be more," Transportation Research Part A: Policy and Practice, Elsevier, vol. 143(C), pages 61-77.
    • Handle: RePEc:eee:transa:v:143:y:2021:i:c:p:61-77
    DOI: 10.1016/j.tra.2020.11.008
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    References listed on IDEAS

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    2. Zakharenko, Roman, 2023. "Pushing towards shared mobility," Journal of Urban Economics, Elsevier, vol. 138(C).
    3. Feng, Jianghong & Xu, Su Xiu & Xu, Gangyan & Cheng, Huibing, 2022. "An integrated decision-making method for locating parking centers of recyclable waste transportation vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    4. Levin, Michael W., 2022. "A general maximum-stability dispatch policy for shared autonomous vehicle dispatch with an analytical characterization of the maximum throughput," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 258-280.

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