Charging Stations Selection for EVs Using the Best-Worst Method and TOPSIS Approach
The shift towards electrical transportation system has the promise to decrease greenhouse gas emissions and reinforce sustainability. With the expected rise in electric vehicle (EV) usage in recent years, it becomes critical to develop a charging station infrastructure to ensure the drivers comfortability and optimal performance for EVs. This research recommends that EV drivers need to consider using the combination of the BWM and TOPSIS to select the most appropriate nearby charging stations based on their personal preferences and specific situations. The principal goal of the study is to improve the process of choosing charging stations based on the drivers’ preferences. By comparing criteria weights and evaluating scores for all nearby charging stations to the drivers. This approach endeavors to offer a personalized selection process by integrating both the prevailing data and the user’s unique preferences.
Authors
- Anas Alghazi
- Khaled Al-Shareef
- Haitham Saleh (ORCID: https://orcid.org/0000-0003-0997-9481)
- Mohammed Algafri
- Yasser Almoghathawi (ORCID: https://orcid.org/0000-0003-0527-4820)
Institutions
- King Fahd University of Petroleum and Minerals (SA)
Publication Details
- Journal
- Transportation research procedia
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.trpro.2025.03.098
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00