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The optimal design and cost implications of electric vehicle taxi systems

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  • Sathaye, Nakul

Abstract

In recent years, taxis in multiple cities and metropolitan areas around the world have shifted to utilizing alternative fuel options. Such change has significant potential to reduce environmental externalities and can contribute to alleviating energy policy concerns. However, little work has been conducted to assess the tradeoffs between selecting various fuels for taxis, or to design alternative fuel taxi systems. These tradeoffs exist as a result of the differing costs associated with fleet replacement, infrastructure deployment, operations and maintenance decisions, and costs to users. This paper aims to address this issue by providing an optimization framework for the design of electric taxi systems, and an assessment of optimal costs associated with various options. We focus on comparing the costs of taxi systems made up of gasoline vehicles, hybrid-electric vehicles, plug-in hybrid electric vehicles with AC Level 2 infrastructure, electric vehicles with battery switching infrastructure, and electric vehicles with DC Level 2 fast charging infrastructure. This approach is based on transit systems design methods and focuses on developing an approximate analytic model for electric taxi systems, which can be expanded upon in future research, to address large-scale taxi systems design problems. Scenario results are presented for various city types.

Suggested Citation

  • Sathaye, Nakul, 2014. "The optimal design and cost implications of electric vehicle taxi systems," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 264-283.
    • Handle: RePEc:eee:transb:v:67:y:2014:i:c:p:264-283
    DOI: 10.1016/j.trb.2014.05.009
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    1. Arslan, Okan & Yıldız, Barış & Karaşan, Oya Ekin, 2015. "Minimum cost path problem for Plug-in Hybrid Electric Vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 123-141.
    2. Schücking, Maximilian & Jochem, Patrick, 2021. "Two-stage stochastic program optimizing the cost of electric vehicles in commercial fleets," Applied Energy, Elsevier, vol. 293(C).
    3. Xiang Liu & Ning Wang & Decun Dong, 2018. "A Cost-Oriented Optimal Model of Electric Vehicle Taxi Systems," Sustainability, MDPI, vol. 10(5), pages 1-23, May.
    4. Seoin Baek & Heetae Kim & Hyun Joon Chang, 2016. "A Feasibility Test on Adopting Electric Vehicles to Serve as Taxis in Daejeon Metropolitan City of South Korea," Sustainability, MDPI, vol. 8(9), pages 1-18, September.
    5. Zhang, Shuo & Li, Xinxin & Li, Yingzi & Zheng, Yidan & Liu, Jie, 2023. "A green-fitting dispatching model of station cluster for battery swapping under charging-discharging mode," Energy, Elsevier, vol. 276(C).
    6. Wu, Fei & Sioshansi, Ramteen, 2017. "A two-stage stochastic optimization model for scheduling electric vehicle charging loads to relieve distribution-system constraints," Transportation Research Part B: Methodological, Elsevier, vol. 102(C), pages 55-82.

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