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Implications of the Emergence of Autonomous Vehicles and Shared Autonomous Vehicles: A Budapest Perspective

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  • Mohamad Shatanawi

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary)

  • Ferenc Mészáros

    (Department of Transport Technology and Economics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary)

Abstract

The introduction of autonomous vehicles (AVs) and shared autonomous vehicles (SAVs) is projected to enhance network performance and accessibility. The future share distribution of AV and SAV is not yet apparent, nor is which of these two future transport modes will become dominant. Therefore, this research deploys a simulation-based dynamic traffic assignment using Visum software to investigate the impact of varying the share distribution of AVs and SAVs on Budapest’s network performance and consumer surplus in three projected future traffic scenarios for the years 2030 and 2050 compared to the Base scenario for 2020. The three future scenarios are presented and characterized by different penetration rates of AVs and SAVs to reflect the uncertainty in the market share of these future cars as follows: Mix-Traffic scenario for 2030, and AV-Focused and SAV-Focused scenarios for 2050. The results revealed that the emergence of AVs and SAVs would improve the overall network performance, and better performance was observed with increasing the share distribution of SAVs. Similarly, the consumer surplus increased in all future scenarios, especially with increasing the share distribution of AVs. Consequently, the advent of AVs and SAVs will improve traffic performance and increase consumer surplus, benefiting road users and authorities.

Suggested Citation

  • Mohamad Shatanawi & Ferenc Mészáros, 2022. "Implications of the Emergence of Autonomous Vehicles and Shared Autonomous Vehicles: A Budapest Perspective," Sustainability, MDPI, vol. 14(17), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10952-:d:904761
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    References listed on IDEAS

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    1. Mohamad Shatanawi & Fatma Abdelkhalek & Ferenc Mészáros, 2020. "Urban Congestion Charging Acceptability: An International Comparative Study," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    2. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    3. Francesco Russo & Corrado Rindone, 2021. "Regional Transport Plans: From Direction Role Denied to Common Rules Identified," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    4. Winkler, Christian, 2015. "Transport user benefits calculation with the “Rule of a Half” for travel demand models with constraints," Research in Transportation Economics, Elsevier, vol. 49(C), pages 36-42.
    5. Bansal, Prateek & Kockelman, Kara M., 2017. "Forecasting Americans’ long-term adoption of connected and autonomous vehicle technologies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 49-63.
    6. Martin, Elliot W & Shaheen, Susan A, 2011. "Greenhouse Gas Emission Impacts of Carsharing in North America," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6wr90040, Institute of Transportation Studies, UC Berkeley.
    7. Webb, Jeremy & Wilson, Clevo & Kularatne, Thamarasi, 2019. "Will people accept shared autonomous electric vehicles? A survey before and after receipt of the costs and benefits," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 118-135.
    8. van den Berg, Vincent A.C. & Verhoef, Erik T., 2016. "Autonomous cars and dynamic bottleneck congestion: The effects on capacity, value of time and preference heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 43-60.
    9. Cokyasar, Taner & Larson, Jeffrey, 2020. "Optimal assignment for the single-household shared autonomous vehicle problem," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 98-115.
    10. Banister, David, 2008. "The sustainable mobility paradigm," Transport Policy, Elsevier, vol. 15(2), pages 73-80, March.
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    Cited by:

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    2. Jing Zuo & Mengxing Shang & Jianwu Dang, 2022. "Research on the Optimization Model of Railway Emergency Rescue Network Considering Space-Time Accessibility," Sustainability, MDPI, vol. 14(21), pages 1-14, November.

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