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.

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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
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article

Charging Stations Selection for EVs Using the Best-Worst Method and TOPSIS Approach

Anas Alghazi, Khaled Al-Shareef, Haitham Saleh, Mohammed Algafri et al.
Transportation research procedia
Electric Vehicles and Infrastructure
article

Charging Stations Selection for EVs Using the Best-Worst Method and TOPSIS Approach

Anas Alghazi, Khaled Al-Shareef, Haitham Saleh, Mohammed Algafri, Yasser Almoghathawi
article en

Abstract

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.

Transportation research procediaVol. 84
King Fahd University of Petroleum and Minerals (SA)
Climate action
Openalex Percentile: Top 96%
Electric Vehicles and Infrastructure
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Charging Stations Selection for EVs Using the Best-Worst Method and TOPSIS Approach — Anas Alghazi, Khaled Al-Shareef, et al. · Transportation research procedia (2025) | TGRS Research Map | TGRS