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A framework for evaluating electrical vehicle charging station location decisions in a spherical fuzzy environment: a case of shopping malls

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Abstract

Today's commonly used vehicles that use petroleum and its derivatives have a negative impact on the environment and the economy. Increased CO2 emissions, global warming, and noise pollution are the results of these drawbacks. In addition, people have begun looking for alternative energy sources as a result of the rise in the cost of petroleum and the fuels made from it. When compared to fossil fuel vehicles, electrical vehicles seem preferable. Because of this, EVs catch the interest of drivers. But as demand for electric cars increased, so did the need for charging stations for them. In this context, the correct positioning of charging stations is of great economic, environmental, and social importance. The purpose of this study is to determine the significance of ranking six different shopping malls in Ankara when allocating charging stations. For this purpose, a literature review of electric vehicles and electric vehicle charging stations was conducted. Then, the evaluation criteria are introduced under 3 main criteria as (I) economic, (II) social, and (III) transportation, and a total of 10 sub-criteria are determined depending on these main criteria. Criteria were evaluated, and criterion weights were calculated using integrated multi-criteria decision-making methods through spherical fuzzy AHP and MACBETH. The weights of the criteria decided upon by experts in the selection of location were in this case determined using the spherical fuzzy AHP method. The spherical fuzzy AHP method assigns weights to the criteria, and the MACBETH method is then used to rank the alternatives using linguistic comparisons.

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References

  • Asnaz, M. S. K., & Özdemir, B. (2021). Elektrikli Araç Şarj İstasyonlarının Çok Kriterli Karar Verme Yöntemleri ile Optimal Konumlandırması. Journal of Intelligent Transportation Systems and Applications, 4, 175–187.

    Google Scholar 

  • Boltürk, E. (2019). AS/RS Technology selection using spherical fuzzy TOPSIS and neutrosophic TOPSIS. International conference on intelligent and fuzzy systems (pp. 969–976). Springer.

    Google Scholar 

  • Coğrafi Bilgi Sistemleri (CBS) Nedir? (2022). [Online]. Available: https://www.basarsoft.com.tr/cografi-bilgi-sistemleri-cbs-nedir/.

  • Demesouka, O. E., Vavatsikos, A. P., & Anagnostopoulos, K. P. (2016). Using MACBETH multicriteria technique for GIS-based landfill suitability analysis. Journal of Environmental Engineering, 142, 04016042.

    Article  Google Scholar 

  • e. Costa, C. A. B., & Thomaz, J. P. (2000). Locating Centres of Information and Recruitment of volunteers for the Portuguese Armed Forces: A decision-analysis case-study. In Proceedings of the 42nd Annual Conference of The International Military Testing Association, Edinburgh.

  • Erdebilli, B., Doğru, C. I., & Aybirdi, C. B. (2019). A comparison of different multi-criteria analyses for EV charging station deployment. Communications in Mathematics and Applications, 10, 145–158.

    Google Scholar 

  • A. Frangoul. Global EV numbers set to hit 145 million by end of the decade, IEA says. 29 April 2021. [Online]. Available: https://www.cnbc.com/2021/04/29/global-electric-vehicle-numbers-set-to-hit-145-million-by-2030-iea-.html.

  • GEÇMİŞ TARİHLİ AKARYAKIT VE OTOGAZ FİYATLARI. GO Yakıt, [Online]. Available: https://www.goyakit.com.tr/gecmis-tarihli-akaryakit-otogaz-fiyatlari. [Accessed 11 June 2022].

  • "Geçmişten günümüze yıllara göre benzin fiyatları," 14 December 2021. [Online]. Available: https://data.tuik.gov.tr/Bulten/Index?p=Yurt-Ici-Uretici-Fiyat-Endeksi-Temmuz-2021-37313.

  • Güler, D., & Yomralıoğlu, T. (2020). Açık Kaynak Kodlu CBS Yazılımı ve Bulanık Analitik Hiyerarşi Yöntemini İçeren Elektrikli Araç Şarj İstasyonu Yer Seçimi Önerisi. Harita Dergisi, 163, 17–28.

    Google Scholar 

  • He, Y., Kockelman, K. M., & Perrine, K. A. (2019). Optimal locations of U.S. fast charging stations for long-distance trip completion by battery electric vehicles. Journal of Cleaner Production, 214, 452–461.

    Article  Google Scholar 

  • İnce, Ö., Bedir, N., & Eren, T. (2016). Hastane Kuruluş Yeri Seçimi Probleminin Analitik Hiyerarşi Süreci ile Modellenmesi: Tuzla İlçesi Uygulaması. Gazi Üniversitesi Sağlık Bilimleri Dergisi, 1, 8–21.

    Google Scholar 

  • Kahraman, C., Gundogdu, F. (2018). From 1D to 3D membership: spherical fuzzy sets. In BOS/SOR2018 Conference. Warsaw, Poland.

  • Komchornrit, K. (2017). The selection of dry port location by a hybrid CFA-MACBETH-PROMETHEE method: A case study of Southern Thailand. The Asian Journal of Shipping and Logistics, 33, 141–153.

    Article  Google Scholar 

  • Kundakcı, N. (2018). An integrated method using MACBETH and EDAS methods for evaluating steam boiler alternatives. Journal of Multi-Criteria DEcision Analysis, 26, 27–34.

    Article  Google Scholar 

  • Kutlu Gundogdu, F., Kahraman, C. (2019). A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection. Journal of Intelligent & Fuzzy Systems, 37(1), 1197–1211.

  • Kutlu Gündoğdu, F., & Kahraman, C. (2020a). Optimal site selection of electric vehicle charging station by using spherical fuzzy TOPSIS method. Decision making with spherical fuzzy sets: Theory and applications (pp. 201–216). Springer International Publishing.

    Google Scholar 

  • Kutlu Gündoğdu, F., & Kahraman, C. (2020b). A novel spherical fuzzy analytic hierarchy process and its renewable energy application. Soft Computing, 24(6), 4607–4621.

    Article  Google Scholar 

  • Li, Y., Pei, W., Zhang, Q., Xu, D., & Ma, H. (2023). Optimal layout of electric vehicle charging station locations considering dynamic charging demand. Electronics, 12(8), 1818.

    Article  Google Scholar 

  • Liu, P., Khan, Q., Mahmood, T., & Hassan, N. (2019). T-spherical fuzzy power Muirhead mean operator based on novel operational laws and their application in multi-attribute group decision making. IEEE Access, 7, 22613–22632.

    Article  Google Scholar 

  • Liu, Z., Wen, F., & Ledwich, G. (2013). Optimal planning of electric-vehicle charging stations in distribution systems. IEEE Transactions on Power Delivery, 28(1), 102–110. https://doi.org/10.1109/TPWRD.2012.2223489

    Article  Google Scholar 

  • Praneetpholkrang, P., Huynh, V. N., & Kanjanawattana, S. (2021). A multi-objective optimization model for shelter location-allocation in response to humanitarian relief logistics. The Asian Journal of Shipping and Logistics, 37, 149–156.

    Article  Google Scholar 

  • Tiseo, I. (2021). Carbon dioxide emissions from passenger cars worldwide from 2000 to 2020. Statista, 14 December 2021. [Online]. Available: https://www.statista.com/statistics/1107970/carbon-dioxide-emissions-passenger-transport/. [Accessed 11 June 2022].

  • Yillara göre ortalama lpg dolum ücreti (2009–2020). VERİ KAYNAĞI, [Online]. Available: https://www.tppd.com.tr/tr/gecmis-akaryakit-fiyatlari?id=34&county=413&StartDate=01.01.2021&EndDate=31.12.2021 [Accessed 11 June 2022].

  • Yildiz, D., Temur, G. T., Beskese, A., & Bozbura, F. T. (2020). A spherical fuzzy analytic hierarchy process based approach to prioritize career management activities improving employee retention. Journal of Intelligent & Fuzzy Systems, 39(5), 6603–6618.

    Article  Google Scholar 

  • Yilmaz, I., Arioz, Y., Ozturk, C., & Yildizbasi, A. (2022). Hospital type location allocation decisions by using pythagorean fuzzy sets composition: A case study of COVID-19. In Intelligent and fuzzy techniques for emerging conditions and digital transformation: Proceedings of the INFUS 2021 conference, held August 24–26, 2021 (vol. 2, pp. 589–597). Springer International Publishing.

  • Zhang, H., & Wei, G. (2023). Location selection of electric vehicles charging stations by using the spherical fuzzy CPT–CoCoSo and D-CRITIC method. Computational and Applied Mathematics, 42(1), 60.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Industrial Engineering, Ankara Yıldırım Beyazıt University, 06200, Ankara, Turkey

    İbrahim Yılmaz

  2. Department of Industrial Engineering, Gaziantep University, 27310, Gaziantep, Turkey

    Eren Özceylan

  3. Faculty of Engineering Management, Poznan University of Technology, 60-965, Poznan, Poland

    Beata Mrugalska

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  1. İbrahim Yılmaz
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  2. Eren Özceylan
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  3. Beata Mrugalska
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Correspondence to Eren Özceylan.

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Yılmaz, İ., Özceylan, E. & Mrugalska, B. A framework for evaluating electrical vehicle charging station location decisions in a spherical fuzzy environment: a case of shopping malls. Ann Oper Res (2023). https://doi.org/10.1007/s10479-023-05772-x

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