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Determining locations of charging stations for electric taxis using taxi operation data

Author

Listed:
  • Joonho Ko
  • Daejin Kim
  • Daisik Nam
  • Taekyung Lee

Abstract

The adequate provision of charging infrastructure is critical for the effective deployment of electric taxis. This study attempts to locate charging stations for electric taxis reflecting real-world taxi travel patterns identified from taxis equipped with digital tachographs. Data for one week are processed in order to estimate their charge demand. The estimated temporal distribution of charge demand indicates that it varies day-by-day and hour-by-hour. The maximum set covering model is applied for determining the locations of charging stations. The results show that the pre-specified service distance and service coverage rate (defined by the proportion of total demand served) can be critical factors for determining the number and location of charging stations. These factors should be carefully specified by considering the tradeoff between operational efficiency of charging facilities and user convenience.

Suggested Citation

  • Joonho Ko & Daejin Kim & Daisik Nam & Taekyung Lee, 2017. "Determining locations of charging stations for electric taxis using taxi operation data," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(4), pages 420-433, May.
    • Handle: RePEc:taf:transp:v:40:y:2017:i:4:p:420-433
    DOI: 10.1080/03081060.2017.1300243
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    Cited by:

    1. Mansur Arief & Yan Akhra & Iwan Vanany, 2023. "A Robust and Efficient Optimization Model for Electric Vehicle Charging Stations in Developing Countries under Electricity Uncertainty," Papers 2307.05470, arXiv.org.
    2. Yang, Xiong & Peng, Zhenhan & Wang, Pinxi & Zhuge, Chengxiang, 2023. "Seasonal variance in electric vehicle charging demand and its impacts on infrastructure deployment: A big data approach," Energy, Elsevier, vol. 280(C).
    3. Ömer Kaya & Kadir Diler Alemdar & Tiziana Campisi & Ahmet Tortum & Merve Kayaci Çodur, 2021. "The Development of Decarbonisation Strategies: A Three-Step Methodology for the Suitable Analysis of Current EVCS Locations Applied to Istanbul, Turkey," Energies, MDPI, vol. 14(10), pages 1-21, May.
    4. Sunghi An & Daisik Nam & R. Jayakrishnan & Soongbong Lee & Michael G. McNally, 2021. "A Study of the Factors Affecting Multimodal Ridesharing with Choice-Based Conjoint Analysis," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    5. Kang, Seong-Cheol & Lee, Hoyoung, 2019. "Economic appraisal of implementing electric vehicle taxis in Seoul," Research in Transportation Economics, Elsevier, vol. 73(C), pages 45-52.

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