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Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem

Author

Listed:
  • Mikołaj Schmidt

    (Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, Poland)

  • Paweł Zmuda-Trzebiatowski

    (Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, Poland)

  • Marcin Kiciński

    (Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, Poland)

  • Piotr Sawicki

    (Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, Poland)

  • Konrad Lasak

    (Faculty of Civil and Transport Engineering, Poznan University of Technology, 60-965 Poznań, Poland)

Abstract

The article presents the issue of designing a network of electric vehicle charging stations (EVCSs) for servicing passenger and commercial vehicles and taking into account the already existing locations. The authors propose a five-stage multicriteria- and GIS-based EVCS location methodology (5MAGISEV) for designing the EVCS network that includes defining potential EVCS locations (stage 1), constructing a family of evaluation criteria (stage 2), generating alternatives (stage 3), selecting an appropriate multiple criteria decision aid method (stage 4) and conducting a multicriteria evaluation of alternatives (stage 5). The methodology was verified by its experimental application for solving the problem of EVCS location in Poznan, Poland. As a result of its application, a set of over 155,000 alternatives was generated in view of different EVCS location determination policies. A family of eight criteria with subcriteria was proposed to assess the solutions, including the evaluation of the degree of integration of the considered EVCSs with such issues as public transport (C1); urbanized areas (C2); main road network (C3); industrial areas (C4); and the location with respect to transport areas (C5), shops of various types (C6), address points (C7) and DYI stores (C8). Based on the selected method of multiple criteria decision aid (LBS), a solution was selected that constitutes a compromise design of the EVCS network.

Suggested Citation

  • Mikołaj Schmidt & Paweł Zmuda-Trzebiatowski & Marcin Kiciński & Piotr Sawicki & Konrad Lasak, 2021. "Multiple-Criteria-Based Electric Vehicle Charging Infrastructure Design Problem," Energies, MDPI, vol. 14(11), pages 1-34, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3214-:d:566115
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    References listed on IDEAS

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    Cited by:

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    2. Rafał Różycki & Joanna Józefowska & Krzysztof Kurowski & Tomasz Lemański & Tomasz Pecyna & Marek Subocz & Grzegorz Waligóra, 2022. "A Quantum Approach to the Problem of Charging Electric Cars on a Motorway," Energies, MDPI, vol. 16(1), pages 1-20, December.
    3. Wojciech Rabiega & Artur Gorzałczyński & Robert Jeszke & Paweł Mzyk & Krystian Szczepański, 2021. "How Long Will Combustion Vehicles Be Used? Polish Transport Sector on the Pathway to Climate Neutrality," Energies, MDPI, vol. 14(23), pages 1-19, November.
    4. Auer, Judith & Link, Steffen & Plötz, Patrick, 2023. "Public charging locations for battery electric trucks: A GIS-based statistical analysis using real-world truck stop data for Germany," Working Papers "Sustainability and Innovation" S04/2023, Fraunhofer Institute for Systems and Innovation Research (ISI).
    5. Sanchari Deb, 2021. "Machine Learning for Solving Charging Infrastructure Planning Problems: A Comprehensive Review," Energies, MDPI, vol. 14(23), pages 1-19, November.
    6. 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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