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Implications of Autonomous Vehicles for Accessibility and Transport Equity: A Framework Based on Literature

Author

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  • Alberto Dianin

    (Faculty of Architecture and Spatial Planning, Vienna University of Technology, Karlsgasse 11, A-1040 Vienna, Austria
    Eurac Research, Institute for Regional Development, Viale Druso 1, I-39100 Bolzano, Italy)

  • Elisa Ravazzoli

    (Eurac Research, Institute for Regional Development, Viale Druso 1, I-39100 Bolzano, Italy)

  • Georg Hauger

    (Faculty of Architecture and Spatial Planning, Vienna University of Technology, Karlsgasse 11, A-1040 Vienna, Austria)

Abstract

Increasing accessibility and balancing its distribution across space and social groups are two fundamental goals to make transport more sustainable and equitable. In the next decades, autonomous vehicles (AVs) could significantly transform the transport system, influencing accessibility and transport equity. In particular, depending on the assumed features of AVs (e.g., private or collective) and the considered spatial, social, and regulative context (e.g., rural or urban areas), impacts may be very different. Nevertheless, research in this field is still limited, and the relationship between AV assumptions and accessibility impacts is still partially unclear. This paper aims to provide a framework of the key and emerging aspects related to the implications of AVs for accessibility and transport equity. To set this framework, we perform an analysis of the scientific literature based on a conceptual model describing the implications of AVs for the distribution of accessibility across space and social groups. We recognize four main expected impacts of AVs on accessibility: (1) accessibility polarization, (2) accessibility sprawl, (3) exacerbation of social accessibility inequities, and (4) alleviation of social accessibility inequities. These impacts are described and analyzed in relation to the main AV assumptions expected to trigger them through different mechanisms. Based on the results, some recommendations for future studies intending to focus on the relation between AVs, accessibility, and transport equity are provided.

Suggested Citation

  • Alberto Dianin & Elisa Ravazzoli & Georg Hauger, 2021. "Implications of Autonomous Vehicles for Accessibility and Transport Equity: A Framework Based on Literature," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4448-:d:537144
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    References listed on IDEAS

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    1. May, Anthony D. & Shepherd, Simon & Pfaffenbichler, Paul & Emberger, Günter, 2020. "The potential impacts of automated cars on urban transport: An exploratory analysis," Transport Policy, Elsevier, vol. 98(C), pages 127-138.
    2. Cavallaro, Federico & Bruzzone, Francesco & Nocera, Silvio, 2020. "Spatial and social equity implications for High-Speed Railway lines in Northern Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 327-340.
    3. Muhammad, Saim & de Jong, Tom & Ottens, Henk F.L., 2008. "Job accessibility under the influence of information and communication technologies, in the Netherlands," Journal of Transport Geography, Elsevier, vol. 16(3), pages 203-216.
    4. van Wee, Bert, 2016. "Accessible accessibility research challenges," Journal of Transport Geography, Elsevier, vol. 51(C), pages 9-16.
    5. Rounaq Basu & Joseph Ferreira, 2020. "A LUTI microsimulation framework to evaluate long-term impacts of automated mobility on the choice of housing-mobility bundles," Environment and Planning B, , vol. 47(8), pages 1397-1417, October.
    6. Gaurav Vyas & Pooneh Famili & Peter Vovsha & Daniel Fay & Ashish Kulshrestha & Greg Giaimo & Rebekah Anderson, 2019. "Incorporating features of autonomous vehicles in activity-based travel demand model for Columbus, OH," Transportation, Springer, vol. 46(6), pages 2081-2102, December.
    7. Milakis, Dimitris & Kroesen, Maarten & van Wee, Bert, 2018. "Implications of automated vehicles for accessibility and location choices: Evidence from an expert-based experiment," Journal of Transport Geography, Elsevier, vol. 68(C), pages 142-148.
    8. Bösch, Patrick M. & Becker, Felix & Becker, Henrik & Axhausen, Kay W., 2018. "Cost-based analysis of autonomous mobility services," Transport Policy, Elsevier, vol. 64(C), pages 76-91.
    9. Elliot Fishman & Simon Washington & Narelle Haworth, 2013. "Bike Share: A Synthesis of the Literature," Transport Reviews, Taylor & Francis Journals, vol. 33(2), pages 148-165, March.
    10. Faber, Koen & van Lierop, Dea, 2020. "How will older adults use automated vehicles? Assessing the role of AVs in overcoming perceived mobility barriers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 353-363.
    11. Bat-hen Nahmias-Biran & Jimi B. Oke & Nishant Kumar & Carlos Lima Azevedo & Moshe Ben-Akiva, 0. "Evaluating the impacts of shared automated mobility on-demand services: an activity-based accessibility approach," Transportation, Springer, vol. 0, pages 1-26.
    12. Gelauff, George & Ossokina, Ioulia & Teulings, Coen, 2019. "Spatial and welfare effects of automated driving: Will cities grow, decline or both?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 277-294.
    13. Robert Sparrow & Mark Howard, 2020. "Make way for the wealthy? Autonomous vehicles, markets in mobility, and social justice," Mobilities, Taylor & Francis Journals, vol. 15(4), pages 514-526, July.
    14. Aggelos Soteropoulos & Martin Berger & Francesco Ciari, 2019. "Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 29-49, January.
    15. Camporeale, Rosalia & Caggiani, Leonardo & Ottomanelli, Michele, 2019. "Modeling horizontal and vertical equity in the public transport design problem: A case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 184-206.
    16. Abe, Ryosuke, 2019. "Introducing autonomous buses and taxis: Quantifying the potential benefits in Japanese transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 94-113.
    17. Rodrigo Marçal Gandia & Fabio Antonialli & Bruna Habib Cavazza & Arthur Miranda Neto & Danilo Alves de Lima & Joel Yutaka Sugano & Isabelle Nicolai & Andre Luiz Zambalde, 2019. "Autonomous vehicles: scientometric and bibliometric review," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 9-28, January.
    18. Banister, David, 2008. "The sustainable mobility paradigm," Transport Policy, Elsevier, vol. 15(2), pages 73-80, March.
    19. Eric J. Miller, 2018. "Accessibility: measurement and application in transportation planning," Transport Reviews, Taylor & Francis Journals, vol. 38(5), pages 551-555, September.
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    1. Khan, Shah Khalid & Shiwakoti, Nirajan & Stasinopoulos, Peter & Warren, Matthew, 2023. "Cybersecurity regulatory challenges for connected and automated vehicles – State-of-the-art and future directions," Transport Policy, Elsevier, vol. 143(C), pages 58-71.
    2. Gao, Jing & Li, Sen, 2024. "Regulating for-hire autonomous vehicles for an equitable multimodal transportation network," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
    3. Jing Gao & Sen Li, 2023. "Regulating For-Hire Autonomous Vehicles for An Equitable Multimodal Transportation Network," Papers 2301.05798, arXiv.org, revised Oct 2023.
    4. Nahmias-Biran, Bat-hen & Oke, Jimi B. & Kumar, Nishant, 2021. "Who benefits from AVs? Equity implications of automated vehicles policies in full-scale prototype cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 92-107.

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