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

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Pages (from-to)472-479
Number of pages8
JournalTransportation Research Procedia
Volume84
DOIs
StatePublished - 2025
Event1st Internation Conference on Smart Mobility and Logistics Ecosystems, SMiLE 2024 - Dhahran, Saudi Arabia
Duration: 17 Sep 202419 Sep 2024

Bibliographical note

Publisher Copyright:
© 2024 The Authors. Published by ELSEVIER B.V.

Keywords

  • TOPSIS
  • best-worst-method
  • charging infrastructure
  • ranking charging stations

ASJC Scopus subject areas

  • Transportation

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