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Toward Policies to Manage the Impacts of Autonomous Vehicles on the City: A Visioning Exercise

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  • Luca Staricco

    (Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Viale Mattioli 39, 10125 Torino, Italy)

  • Valentina Rappazzo

    (Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Viale Mattioli 39, 10125 Torino, Italy)

  • Jacopo Scudellari

    (Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Viale Mattioli 39, 10125 Torino, Italy)

  • Elisabetta Vitale Brovarone

    (Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Viale Mattioli 39, 10125 Torino, Italy)

Abstract

There is great uncertainty about the transition from human to autonomous driving vehicles (AVs), as well as about the extent and direction of their potential impacts on the urban built environment. Planners are aware of the importance of leading this transition but are hesitant about how to proceed, and public administrations generally show a passive attitude. One of the reasons is the difficulty of defining long-term visions and identifying transition paths to achieve the desired future. The literature on AVs is growing rapidly but most of the visions proposed so far do not consider in detail how circulation and parking of AVs will (or could) be differently regulated in cities. In this study, three visions for the Italian city of Turin are proposed. The aim of these visions is to highlight how different forms of regulation of AV circulation and parking can impact on the sustainability and livability of the city. A focus group and a set of interviews with experts and stakeholders were used to validate the three visions and assess their advisability and sustainability. This visioning exercise is the first step in the development of a backcasting process.

Suggested Citation

  • Luca Staricco & Valentina Rappazzo & Jacopo Scudellari & Elisabetta Vitale Brovarone, 2019. "Toward Policies to Manage the Impacts of Autonomous Vehicles on the City: A Visioning Exercise," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5222-:d:270076
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    1. Daniel J. Fagnant & Kara M. Kockelman, 2018. "Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas," Transportation, Springer, vol. 45(1), pages 143-158, January.
    2. Banister, David & Hickman, Robin, 2013. "Transport futures: Thinking the unthinkable," Transport Policy, Elsevier, vol. 29(C), pages 283-293.
    3. Erick Guerra & Eric A. Morris, 2018. "Cities, Automation, and the Self-parking Elephant in the Room," Planning Theory & Practice, Taylor & Francis Journals, vol. 19(2), pages 291-297, March.
    4. Lyons, Glenn & Davidson, Cody, 2016. "Guidance for transport planning and policymaking in the face of an uncertain future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 104-116.
    5. Soria-Lara, Julio A. & Banister, David, 2017. "Participatory visioning in transport backcasting studies: Methodological lessons from Andalusia (Spain)," Journal of Transport Geography, Elsevier, vol. 58(C), pages 113-126.
    6. Debbie Hopkins & Tim Schwanen, 2018. "Automated Mobility Transitions: Governing Processes in the UK," Sustainability, MDPI, vol. 10(4), pages 1-19, March.
    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. Zakharenko, Roman, 2016. "Self-driving cars will change cities," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 26-37.
    9. Docherty, Iain & Marsden, Greg & Anable, Jillian, 2018. "The governance of smart mobility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 114-125.
    10. 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.
    11. Crystal Legacy & David Ashmore & Jan Scheurer & John Stone & Carey Curtis, 2019. "Planning the driverless city," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 84-102, January.
    12. Marletto, Gerardo, 2019. "Who will drive the transition to self-driving? A socio-technical analysis of the future impact of automated vehicles," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 221-234.
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