Electric vehicle charge station layout planning: A case study in Istanbul Technical University campus


Muyesseroglu A., ARGUN İ. D., Kayakutlu G.

MANAGERIAL AND DECISION ECONOMICS, 2022 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Publication Date: 2022
  • Doi Number: 10.1002/mde.3781
  • Journal Name: MANAGERIAL AND DECISION ECONOMICS
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus, International Bibliography of Social Sciences, Periodicals Index Online, ABI/INFORM, Aerospace Database, Business Source Elite, Business Source Premier, Communication Abstracts, EconLit, Metadex, Psycinfo, Public Affairs Index, Civil Engineering Abstracts
  • Istanbul Technical University Affiliated: Yes

Abstract

While the popularity of electric vehicles is rising, several studies have been conducted on the challenges surrounding charging stations. The choice of charging station layout planning is evaluated in this study, which is based on available parking capacity and potential vehicle users on campus. Its goal is to figure out how various data and different coverage methods affect optimal selection. These models aim to serve the regions within a specified distance with the least possible number of stations. The data are collected with geographic information system, and the Voronoi diagram is used to solve the models. The findings of the models have been compared, and station sites that were deemed suitable for the campus have been determined. Evaluation of three models allows the most appropriate solution for the campus to set up five stations and use a 700-m service distance. In this study, an opportunity was created to observe how the added parameters affect the optimization model and the results.