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Location optimisation method for fast-charging stations along national roads

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  • Csiszár, Csaba
  • Csonka, Bálint
  • Földes, Dávid
  • Wirth, Ervin
  • Lovas, Tamás

Abstract

Limited range of electric vehicles is still a huge barrier compared to conventional vehicles. A well-established charging station network, which is derived from users' charging demand, facilitates the spread of electric vehicles and lessens the range anxiety. Several methods have been developed for locating fast-charging stations along national roads in Europe according to the given objective function. In this paper, an arc-based location optimisation method realized by using a geographic information system and greedy algorithm is presented. An ‘oil stain’ deployment strategy is used to achieve even coverage with the minimum number of fast-charging stations along the roads. Several demographic, neighbourhood, and transport-related attributes, as well as the available services that influence the utilization of a fast-charging station, have been identified and their effects have been revealed in a systematic approach. The developed multi-criteria decision-making method has been applied to evaluate the rest areas along motorways and main roads and to propose deployment locations for fast-charging stations. The method was applied for Hungary as a case study and validated using real origin-destination (O-D) data. By the application of the locating method, the user can specify a network character by geographic parameters. The method can be especially beneficial if the O-D flows are unknown. Furthermore, the even distribution of the stations contributes to the high utilization of the fast-charging stations.

Suggested Citation

  • Csiszár, Csaba & Csonka, Bálint & Földes, Dávid & Wirth, Ervin & Lovas, Tamás, 2020. "Location optimisation method for fast-charging stations along national roads," Journal of Transport Geography, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:jotrge:v:88:y:2020:i:c:s0966692319303801
    DOI: 10.1016/j.jtrangeo.2020.102833
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    References listed on IDEAS

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    Cited by:

    1. Park, Junseok & Moon, Ilkyeong, 2023. "A facility location problem in a mixed duopoly on networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    2. Antonia Golab & Sebastian Zwickl-Bernhard & Hans Auer, 2022. "Minimum-Cost Fast-Charging Infrastructure Planning for Electric Vehicles along the Austrian High-Level Road Network," Energies, MDPI, vol. 15(6), pages 1-26, March.
    3. Essam H. Houssein & Sanchari Deb & Diego Oliva & Hegazy Rezk & Hesham Alhumade & Mokhtar Said, 2021. "Performance of Gradient-Based Optimizer on Charging Station Placement Problem," Mathematics, MDPI, vol. 9(21), pages 1-16, November.
    4. Kłos, Marcin Jacek & Sierpiński, Grzegorz, 2023. "Siting of electric vehicle charging stations method addressing area potential and increasing their accessibility," Journal of Transport Geography, Elsevier, vol. 109(C).

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