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Fleet performance and cost evaluation of a shared autonomous electric vehicle (SAEV) fleet: A case study for Austin, Texas

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  • Loeb, Benjamin
  • Kockelman, Kara M.

Abstract

Shared Autonomous Vehicles (SAVs) have gained significant public interest as a possible less expensive, safer and more efficient version of today’s transportation networking companies (TNCs) and taxis. One way to expand on the possible benefits of an SAV fleet is through electric vehicles (EVs), which tend to be more energy efficient, more reliable, quicker, and may reduce system-wide emissions when coupled with renewable power. EVs are quickly becoming more financially viable as the price of these vehicles drops and charging infrastructure is appearing in more and more locations across the world. EVs are disadvantaged by their relatively short range and long recharge times, so it is important to understand how these factors will affect an electrified SAV (SAEV) fleet in terms of vehicle miles traveled (VMT), vehicle productivity, and response times.

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  • Loeb, Benjamin & Kockelman, Kara M., 2019. "Fleet performance and cost evaluation of a shared autonomous electric vehicle (SAEV) fleet: A case study for Austin, Texas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 121(C), pages 374-385.
  • Handle: RePEc:eee:transa:v:121:y:2019:i:c:p:374-385
    DOI: 10.1016/j.tra.2019.01.025
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    1. Félix Carreyre & Nicolas Coulombel & Jaâfar Berrada & Laurent Bouillaut, 2022. "Economic evaluation of autonomous passenger transportation services: a systematic review and meta-analysis of simulation studies [Evaluation économique des services de transport de passagers autono," Post-Print hal-04418672, HAL.
    2. Gurumurthy, Krishna Murthy & Kockelman, Kara M., 2021. "Impacts of shared automated vehicles on airport access and operations, with opportunities for revenue recovery: Case Study of Austin, Texas," Research in Transportation Economics, Elsevier, vol. 90(C).
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    7. Li, Yanning & Li, Xinwei & Jenn, Alan, 2022. "Evaluating the emission benefits of shared autonomous electric vehicle fleets: A case study in California," Applied Energy, Elsevier, vol. 323(C).
    8. Subramanian, Vignesh & Feijoo, Felipe & Sankaranarayanan, Sriram & Melendez, Kevin & Das, Tapas K., 2022. "A bilevel conic optimization model for routing and charging of EV fleets serving long distance delivery networks," Energy, Elsevier, vol. 251(C).
    9. Liu, Aijun & Zhao, Yingxue & Meng, Xiaoge & Zhang, Yan, 2020. "A three-phase fuzzy multi-criteria decision model for charging station location of the sharing electric vehicle," International Journal of Production Economics, Elsevier, vol. 225(C).
    10. Levin, Michael W., 2022. "A general maximum-stability dispatch policy for shared autonomous vehicle dispatch with an analytical characterization of the maximum throughput," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 258-280.
    11. Wang, Wanying & Zhang, Qiang & Peng, Zhanglin & Shao, Zhen & Li, Xuefang, 2020. "An empirical evaluation of different usage pattern between car-sharing battery electric vehicles and private ones," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 115-129.
    12. Cilio, Luca & Babacan, Oytun, 2021. "Allocation optimisation of rapid charging stations in large urban areas to support fully electric taxi fleets," Applied Energy, Elsevier, vol. 295(C).
    13. Baichuan Mo & Zhejing Cao & Hongmou Zhang & Yu Shen & Jinhua Zhao, 2020. "Competition between shared autonomous vehicles and public transit: A case study in Singapore," Papers 2001.03197, arXiv.org, revised Feb 2021.
    14. Becker, Henrik & Becker, Felix & Abe, Ryosuke & Bekhor, Shlomo & Belgiawan, Prawira F. & Compostella, Junia & Frazzoli, Emilio & Fulton, Lewis M. & Guggisberg Bicudo, Davi & Murthy Gurumurthy, Krishna, 2020. "Impact of vehicle automation and electric propulsion on production costs for mobility services worldwide," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 105-126.
    15. Luo, Qi & Saigal, Romesh & Chen, Zhibin & Yin, Yafeng, 2019. "Accelerating the adoption of automated vehicles by subsidies: A dynamic games approach," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 226-243.
    16. Sergio Pardo-Jaramillo & Andrés Muñoz-Villamizar & Ignacio Osuna & Rolando Roncancio, 2020. "Mapping Research on Customer Centricity and Sustainable Organizations," Sustainability, MDPI, vol. 12(19), pages 1-18, September.
    17. Talebian, Ahmadreza & Mishra, Sabyasachee, 2022. "Unfolding the state of the adoption of connected autonomous trucks by the commercial fleet owner industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    18. Al-Kanj, Lina & Nascimento, Juliana & Powell, Warren B., 2020. "Approximate dynamic programming for planning a ride-hailing system using autonomous fleets of electric vehicles," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1088-1106.
    19. Leon Booth & Victoria Farrar & Jason Thompson & Rajith Vidanaarachchi & Branislava Godic & Julie Brown & Charles Karl & Simone Pettigrew, 2023. "Anticipated Transport Choices in a World Featuring Autonomous Transport Options," Sustainability, MDPI, vol. 15(14), pages 1-10, July.
    20. Ghulam E Mustafa Abro & Saiful Azrin B. M. Zulkifli & Kundan Kumar & Najib El Ouanjli & Vijanth Sagayan Asirvadam & Mahmoud A. Mossa, 2023. "Comprehensive Review of Recent Advancements in Battery Technology, Propulsion, Power Interfaces, and Vehicle Network Systems for Intelligent Autonomous and Connected Electric Vehicles," Energies, MDPI, vol. 16(6), pages 1-31, March.
    21. 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.
    22. Militão, Aitan M. & Tirachini, Alejandro, 2021. "Optimal fleet size for a shared demand-responsive transport system with human-driven vs automated vehicles: A total cost minimization approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 52-80.
    23. Zwick, Felix & Kuehnel, Nico & Hörl, Sebastian, 2022. "Shifts in perspective: Operational aspects in (non-)autonomous ride-pooling simulations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 300-320.

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