IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v127y2022icp171-178.html
   My bibliography  Save this article

On-demand microtransit and paratransit service using autonomous vehicles: Gaps and opportunities in accessibility policy

Author

Listed:
  • Riggs, William
  • Pande, Anurag

Abstract

Autonomous vehicle (AV) technology can help disabled Americans achieve their desired level of mobility. However, realizing this potential depends on vehicle manufacturers, policymakers, and state and municipal agencies collaborating to accommodate the needs of disabled individuals at different stages of trip making through information system design, vehicle design, and infrastructure design. Integrating accessibility at this stage of the AV revolution would finally allow us an opportunity to develop a transportation system that treats accessibility as a guiding principle, not as an afterthought. This paper documents accessibility considerations for disabled individuals followed by a review of relevant Americans with Disabilities Act (ADA) regulations. The review of regulations is followed by a review of nine case studies, five corresponding to the on-demand microtransit service model and four corresponding to the paratransit service model. These case studies are essentially different prototypes currently being deployed on a pilot basis. Each of these specific case studies is then evaluated for its ability to provide potential accessibility features that would fulfill the requirement set forth by relevant ADA regulations in the absence of an operator/driver. Based on this review of relevant research, ADA regulations, and case studies, recommendations are provided for researchers, private firms, policymakers, and agencies involved in AV development and deployment. The recommendations include better collaboration and adoption of best practices to address the needs of individuals with different disability types (e.g., Cognitive, Visual, Auditory). ADA regulations should be used as one of the tools in addition to universal design principles and assistive technologies in order to maximize accessibility.

Suggested Citation

  • Riggs, William & Pande, Anurag, 2022. "On-demand microtransit and paratransit service using autonomous vehicles: Gaps and opportunities in accessibility policy," Transport Policy, Elsevier, vol. 127(C), pages 171-178.
  • Handle: RePEc:eee:trapol:v:127:y:2022:i:c:p:171-178
    DOI: 10.1016/j.tranpol.2022.07.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X22002116
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2022.07.024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Miah, Md Mintu & Naz, Farah & Hyun, Kate (Kyung) & Mattingly, Stephen P. & Cronley, Courtney & Fields, Noelle, 2020. "Barriers and opportunities for paratransit users to adopt on-demand micro transit," Research in Transportation Economics, Elsevier, vol. 84(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Luyu & Kar, Armita & Tokey, Ahmad Ilderim & Le, Huyen T.K. & Miller, Harvey J., 2023. "Disparities in public transit accessibility and usage by people with mobility disabilities: An evaluation using high-resolution transit data," Journal of Transport Geography, Elsevier, vol. 109(C).
    2. Wang, Yiyuan & Shen, Qing & Abu Ashour, Lamis & Dannenberg, Andrew L., 2022. "Ensuring equitable transportation for the disadvantaged: Paratransit usage by persons with disabilities during the COVID-19 pandemic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 84-95.
    3. Nael Alsaleh & Bilal Farooq & Yixue Zhang & Steven Farber, 2021. "On-Demand Transit User Preference Analysis using Hybrid Choice Models," Papers 2102.08256, arXiv.org, revised Aug 2023.
    4. Xing, Yan & Pike, Susan & Pourrahmani, Elham & Handy, Susan & Wang, Yunshi, 2022. "Exploring the Consumer Market of Microtransit Services in the Sacramento Area, California," Institute of Transportation Studies, Working Paper Series qt55g4800k, Institute of Transportation Studies, UC Davis.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:127:y:2022:i:c:p:171-178. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.