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Implications of automated vehicles for accessibility and location choices: Evidence from an expert-based experiment

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  • Milakis, Dimitris
  • Kroesen, Maarten
  • van Wee, Bert

Abstract

In this paper, possible accessibility impacts of fully automated vehicles (AVs) are explored. A conceptual framework for those impacts is developed based on the model of four accessibility components (i.e. land use, transport, temporal and individual) of Geurs and van Wee (2004). Q-method is applied among a sample of seventeen international accessibility experts to explore heterogeneity among experts with respect to the impacts of AVs on accessibility, and study different views and clusters of experts. Q-method statements are deductively categorized according to four accessibility components of the conceptual framework. Three viewpoints were extracted, indicating that experts expect AVs to influence accessibility through all four accessibility components. Viewpoint A expects that accessibility benefits stemming from AVs will be highly uncertain, mainly because of induced travel demand that will likely cancel out travel time and cost savings of AVs in the long term. Viewpoint B anticipates that accessibility changes because of AVs will have two opposing implications for urban form: densification of city center and further urban sprawl. Finally, viewpoint C expects that those who can afford an AV will mainly enjoy AVs benefits, thus AVs will have more negative than positive implications for social equity.

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  • 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.
  • Handle: RePEc:eee:jotrge:v:68:y:2018:i:c:p:142-148
    DOI: 10.1016/j.jtrangeo.2018.03.010
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    6. Bouzouina, Louafi & Baraklianos, Ioannis & Bonnel, Patrick & Aissaoui, Hind, 2021. "Renters vs owners: The impact of accessibility on residential location choice. Evidence from Lyon urban area, France (1999–2013)," Transport Policy, Elsevier, vol. 109(C), pages 72-84.
    7. Wadud, Zia & Mattioli, Giulio, 2021. "Fully automated vehicles: A cost-based analysis of the share of ownership and mobility services, and its socio-economic determinants," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 228-244.
    8. Nogués, Soledad & González-González, Esther & Cordera, Rubén, 2020. "New urban planning challenges under emerging autonomous mobility: evaluating backcasting scenarios and policies through an expert survey," Land Use Policy, Elsevier, vol. 95(C).
    9. Ahmed, Tanjeeb & Hyland, Michael & Sarma, Navjyoth J.S. & Mitra, Suman & Ghaffar, Arash, 2020. "Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 221-247.
    10. S. S. Ganji & A. N. Ahangar & Samaneh Jamshidi Bandari, 2022. "Evaluation of vehicular emissions reduction strategies using a novel hybrid method integrating BWM, Q methodology and ER approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11576-11614, October.
    11. Rubén Cordera & Soledad Nogués & Esther González-González & José Luis Moura, 2021. "Modeling the Impacts of Autonomous Vehicles on Land Use Using a LUTI Model," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    12. 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.
    13. 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.
    14. 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.
    15. Maria Juschten & Shannon Page & Helen Fitt, 2020. "Mindsets Set in Concrete? Exploring the Perspectives of Domestic Travellers on New Zealand’s (Auto-)Mobility Culture," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    16. Karst Geurs & Cathy Macharis, 2019. "The future of European communication and transportation research: a research agenda," REGION, European Regional Science Association, vol. 6, pages 1-21.
    17. Dimitrios Rizopoulos & Marina Laskari & Gerasimos Kouloumbis & Ioanna Fergadiotou & Patrick Durkin & Kati Kõrbe Kaare & Muhammad Mahtab Alam, 2022. "5G as an Enabler of Connected-and-Automated Mobility in European Cross-Border Corridors—A Market Assessment," Sustainability, MDPI, vol. 14(21), pages 1-30, November.
    18. Pudāne, Baiba & van Cranenburgh, Sander & Chorus, Caspar G., 2021. "A day in the life with an automated vehicle: Empirical analysis of data from an interactive stated activity-travel survey," Journal of choice modelling, Elsevier, vol. 39(C).
    19. Kim, Sung Hoo & Circella, Giovanni & Mokhtarian, Patricia L., 2019. "Identifying latent mode-use propensity segments in an all-AV era," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 192-207.
    20. Ganji, S.S. & Ahangar, A.N. & Awasthi, Anjali & Jamshidi Bandari, Smaneh, 2021. "Psychological analysis of intercity bus passenger satisfaction using Q methodology," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 345-363.
    21. Amalia Polydoropoulou & Ioannis Tsouros & Nikolas Thomopoulos & Cristina Pronello & Arnór Elvarsson & Haraldur Sigþórsson & Nima Dadashzadeh & Kristina Stojmenova & Jaka Sodnik & Stelios Neophytou & D, 2021. "Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    22. Yatao Huang & Hua Liu & Xuanxuan Guo & Wenxian Jiao, 2022. "The Perception of the National Traceability Platform among Small-Scale Tea Farmers in Typical Agricultural Areas in Central China," IJERPH, MDPI, vol. 19(23), pages 1-20, December.
    23. 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.
    24. Lee, Jaehyung & Lee, Euntak & Yun, Jaewoong & Chung, Jin-Hyuk & Kim, Jinhee, 2021. "Latent heterogeneity in autonomous driving preferences and in-vehicle activities by travel distance," Journal of Transport Geography, Elsevier, vol. 94(C).

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