IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v307y2024ics0360544224024332.html
   My bibliography  Save this article

Optimal site selection for electric vehicle charging stations: Analysis with hybrid FUCOM and geographic information systems

Author

Listed:
  • Hatice Gökler, Seda

Abstract

One of the biggest disadvantages of electric vehicles, which have gained popularity due to reasons such as high energy efficiency and low emissions, is the lack of sufficient charging stations and limited access to suitable charging options. For this reason, in the study, the criteria and their weights that are effective in determining the location of electric vehicle charging stations were determined using FUCOM, which reduces the number of pairwise comparisons, allows less subjective data to be used during the comparison, and provides reliable results because it checks the consistency with the mathematical model. Then, the determined criteria were used in the overlap analysis in GBS to select the most suitable sites that can be used in daily life. The data obtained were compared using the hybrid Best-Worst Method (BWM)-GIS and the Analytical Hierarchy Process (AHP)-GIS. All three hybrid methods determined that the southeast part of the European side and the southwest part of the Anatolian side were the most suitable areas. Therefore, it was seen that the hybrid FUCOM-GIS method should be preferred due to its advantages. In addition, the proposed method was compared with the current EVCS data and the suitability of the method was emphasized.

Suggested Citation

  • Hatice Gökler, Seda, 2024. "Optimal site selection for electric vehicle charging stations: Analysis with hybrid FUCOM and geographic information systems," Energy, Elsevier, vol. 307(C).
    • Handle: RePEc:eee:energy:v:307:y:2024:i:c:s0360544224024332
    DOI: 10.1016/j.energy.2024.132659
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224024332
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.132659?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Georgia Dede & Thomas Kamalakis & Dimosthenis Anagnostopoulos, 2022. "A framework of incorporating confidence levels to deal with uncertainty in pairwise comparisons," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 1051-1069, September.
    2. 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.
    3. Aleksandar Janjić & Lazar Velimirović & Jelena Velimirović & Petar Vranić, 2021. "Estimating the optimal number and locations of electric vehicle charging stations: the application of multi-criteria p-median methodology," Transportation Planning and Technology, Taylor & Francis Journals, vol. 44(8), pages 827-842, November.
    4. Feng-Bao Cui & Xiao-Yue You & Hua Shi & Hu-Chen Liu, 2018. "Optimal Siting of Electric Vehicle Charging Stations Using Pythagorean Fuzzy VIKOR Approach," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-12, June.
    5. Arijit Ghosh & Neha Ghorui & Sankar Prasad Mondal & Suchitra Kumari & Biraj Kanti Mondal & Aditya Das & Mahananda Sen Gupta, 2021. "Application of Hexagonal Fuzzy MCDM Methodology for Site Selection of Electric Vehicle Charging Station," Mathematics, MDPI, vol. 9(4), pages 1-27, February.
    6. Yunna Wu & Chao Xie & Chuanbo Xu & Fang Li, 2017. "A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing," Energies, MDPI, vol. 10(9), pages 1-25, August.
    7. Yunna Wu & Meng Yang & Haobo Zhang & Kaifeng Chen & Yang Wang, 2016. "Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method," Energies, MDPI, vol. 9(3), pages 1-20, March.
    8. Mostafa Mahdy & AbuBakr S. Bahaj & Philip Turner & Naomi Wise & Abdulsalam S. Alghamdi & Hidab Hamwi, 2022. "Multi Criteria Decision Analysis to Optimise Siting of Electric Vehicle Charging Points—Case Study Winchester District, UK," Energies, MDPI, vol. 15(7), pages 1-16, March.
    9. 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.
    10. Erbaş, Mehmet & Kabak, Mehmet & Özceylan, Eren & Çetinkaya, Cihan, 2018. "Optimal siting of electric vehicle charging stations: A GIS-based fuzzy Multi-Criteria Decision Analysis," Energy, Elsevier, vol. 163(C), pages 1017-1031.
    11. Han, Gang & Feng, Guozeng & Tang, Chunli & Pan, Chongyao & Zhou, Weiming & Zhu, Jintang, 2023. "Evaluation of the ventilation mode in an ISO class 6 electronic cleanroom by the AHP-entropy weight method," Energy, Elsevier, vol. 284(C).
    12. Mulliner, Emma & Malys, Naglis & Maliene, Vida, 2016. "Comparative analysis of MCDM methods for the assessment of sustainable housing affordability," Omega, Elsevier, vol. 59(PB), pages 146-156.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Betul Yagmahan & Hilal Yılmaz, 2023. "An integrated ranking approach based on group multi-criteria decision making and sensitivity analysis to evaluate charging stations under sustainability," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 96-121, January.
    3. Sikder, Sujit Kumar & Nagarajan, Magesh & Mustafee, Navonil, 2023. "Augmenting EV charging infrastructure towards transformative sustainable cities: An equity-based approach," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Panagiotis Skaloumpakas & Evangelos Spiliotis & Elissaios Sarmas & Alexios Lekidis & George Stravodimos & Dimitris Sarigiannis & Ioanna Makarouni & Vangelis Marinakis & John Psarras, 2022. "A Multi-Criteria Approach for Optimizing the Placement of Electric Vehicle Charging Stations in Highways," Energies, MDPI, vol. 15(24), pages 1-13, December.
    5. Danijela Tuljak-Suban & Patricija Bajec, 2022. "A Hybrid DEA Approach for the Upgrade of an Existing Bike-Sharing System with Electric Bikes," Energies, MDPI, vol. 15(21), pages 1-23, October.
    6. Oluwasola O. Ademulegun & Paul MacArtain & Bukola Oni & Neil J. Hewitt, 2022. "Multi-Stage Multi-Criteria Decision Analysis for Siting Electric Vehicle Charging Stations within and across Border Regions," Energies, MDPI, vol. 15(24), pages 1-28, December.
    7. Bong-Gi Choi & Byeong-Chan Oh & Sungyun Choi & Sung-Yul Kim, 2020. "Selecting Locations of Electric Vehicle Charging Stations Based on the Traffic Load Eliminating Method," Energies, MDPI, vol. 13(7), pages 1-20, April.
    8. Gönül, Ömer & Duman, A. Can & Güler, Önder, 2024. "A comprehensive framework for electric vehicle charging station siting along highways using weighted sum method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    9. Christos Karolemeas & Stefanos Tsigdinos & Panagiotis G. Tzouras & Alexandros Nikitas & Efthimios Bakogiannis, 2021. "Determining Electric Vehicle Charging Station Location Suitability: A Qualitative Study of Greek Stakeholders Employing Thematic Analysis and Analytical Hierarchy Process," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    10. Samira Vakilipour & Abolghasem Sadeghi-Niaraki & Mostafa Ghodousi & Soo-Mi Choi, 2021. "Comparison between Multi-Criteria Decision-Making Methods and Evaluating the Quality of Life at Different Spatial Levels," Sustainability, MDPI, vol. 13(7), pages 1-36, April.
    11. Yunna Wu & Jianli Zhou & Yong Hu & Lingwenying Li & Xiaokun Sun, 2018. "A TODIM-Based Investment Decision Framework for Commercial Distributed PV Projects under the Energy Performance Contracting (EPC) Business Model: A Case in East-Central China," Energies, MDPI, vol. 11(5), pages 1-27, May.
    12. Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Valentinas Podvezko & Ieva Ubarte & Arturas Kaklauskas, 2017. "MCDM Assessment of a Healthy and Safe Built Environment According to Sustainable Development Principles: A Practical Neighborhood Approach in Vilnius," Sustainability, MDPI, vol. 9(5), pages 1-30, April.
    13. Mehmet Şahin, 2024. "Ensemble decision making for logistics center location," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 30527-30561, December.
    14. Gómez-Limón, José A. & Gutiérrez-Martín, Carlos & Riesgo, Laura, 2016. "Modeling at farm level: Positive Multi-Attribute Utility Programming," Omega, Elsevier, vol. 65(C), pages 17-27.
    15. Mohamed Abdel-Basset & Abduallah Gamal & Ibrahim M. Hezam & Karam M. Sallam, 2024. "Sustainability assessment of optimal location of electric vehicle charge stations: a conceptual framework for green energy into smart cities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(5), pages 11475-11513, May.
    16. Ling Gai & Ying Jin & Binyuan Zhang, 2022. "An integrated method for hybrid distribution with estimation of demand matching degree," Journal of Combinatorial Optimization, Springer, vol. 44(4), pages 2782-2808, November.
    17. Silvia Carpitella & Ilyas Mzougui & Joaquín Izquierdo, 2022. "Multi-criteria risk classification to enhance complex supply networks performance," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 769-785, September.
    18. Dorijan Radočaj & Jasmina Obhođaš & Mladen Jurišić & Mateo Gašparović, 2020. "Global Open Data Remote Sensing Satellite Missions for Land Monitoring and Conservation: A Review," Land, MDPI, vol. 9(11), pages 1-24, October.
    19. Tusar Kanti Hembram & Sunil Saha, 2020. "Prioritization of sub-watersheds for soil erosion based on morphometric attributes using fuzzy AHP and compound factor in Jainti River basin, Jharkhand, Eastern India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1241-1268, February.
    20. Shafiee, Mohammad & Zare-Mehrjerdi, Yahia & Govindan, Kannan & Dastgoshade, Sohaib, 2022. "A causality analysis of risks to perishable product supply chain networks during the COVID-19 outbreak era: An extended DEMATEL method under Pythagorean fuzzy environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:307:y:2024:i:c:s0360544224024332. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.