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Electric Vehicle Solar Charging Station Siting Study Based on GIS and Multi-Criteria Decision-Making: A Case Study of China

Author

Listed:
  • Hui Zhao

    (School of Management Engineering, Qingdao University of Technology, Qingdao 266520, China)

  • Jing Gao

    (School of Management Engineering, Qingdao University of Technology, Qingdao 266520, China)

  • Xian Cheng

    (School of Management Engineering, Qingdao University of Technology, Qingdao 266520, China)

Abstract

Electric vehicles (EVs) are one of the most practical solutions to the energy issue and environmental pollution. In recent years, EVs have developed rapidly, but are still limited by charging problems. The emergence of photovoltaic charging stations can solve the environmental pollution and charging problems. The location of charging stations is critical in the life cycle of electric vehicles. In this paper, a multiple-criteria decision-making (MCDM) method based on Geographic Information Technology (GIS) for optimal site selection is proposed. First, based on literature reading and expert interviews, a site selection index system was identified, including four aspects with a total of ten sub-criteria. Secondly, a spatial database of relevant evaluation criteria was established using GIS, and preliminary analysis was conducted. Then, the fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory method) is applied for assigning the criteria weights. Then, potential sites are ranked using the fuzzy MULTIMOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method. Then, the model was validated by siting the electric vehicle PV charging stations in Qingdao, and eight stations were identified in the preliminary selection stage, and the most suitable locations were finally selected through the MCDM stage. Finally, the reliability and validity of the model were further verified by comparative analysis and dual sensitivity analysis.

Suggested Citation

  • Hui Zhao & Jing Gao & Xian Cheng, 2023. "Electric Vehicle Solar Charging Station Siting Study Based on GIS and Multi-Criteria Decision-Making: A Case Study of China," Sustainability, MDPI, vol. 15(14), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10967-:d:1192940
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    References listed on IDEAS

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    3. Piotr Soczówka & Michał Lasota & Piotr Franke & Renata Żochowska, 2024. "Method of Determining New Locations for Electric Vehicle Charging Stations Using GIS Tools," Energies, MDPI, vol. 17(18), pages 1-27, September.

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