A framework for evaluating electrical vehicle charging station location decisions in a spherical fuzzy environment: a case of shopping malls
Annals of Operations Research, 2023 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Publication Date: 2023
- Doi Number: 10.1007/s10479-023-05772-x
- Journal Name: Annals of Operations Research
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Computer & Applied Sciences, INSPEC, Public Affairs Index, zbMATH, Civil Engineering Abstracts
- Keywords: AHP, Electric vehicle charging station, Location decisions, MACBETH, MCDM, Spherical fuzzy logic
- Ankara Yıldırım Beyazıt University Affiliated: Yes
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.