A Comparison of Different Multi-Criteria Analyses for Electric Vehicle Charging Station Deployment

Authors

  • Babak Daneshvar Rouyendegh (B. Erdebilli) Department of Industrial Engineering, Ankara Yıldırım Beyazıt University, Ankara
  • Cem Isik Dogru Department of Industrial Engineering, TOBB Economy and Technology University, 06510 Ankara
  • Canan Basak Aybirdi Department of Industrial Engineering, TOBB Economy and Technology University, 06510 Ankara

DOI:

https://doi.org/10.26713/cma.v10i1.1126

Keywords:

AHP, VIKOR, TOPSIS, Electric vehicles, Integer programming

Abstract

Scarcity in near future, and the price fluctuation of fossil fuels lead to many industries change their products that use these resources into more eco-friendly versions. One of the most recent and noticeable example of this situation is the automobile industry. As a result of this, electric vehicles have started to become more popular and their sales increase substantially. Since these electric vehicles have a limited range for transportation before they require charging, the number and the positions of charging units become very important. In this study, we consider a electric vehicle (EV) charging station (CS) placement problem which aims to maximize users' utility. To deal with these problem, we survey to find the weights of criterion, which are selected as accessibility, traffic convenience and waiting time calculated by AHP method and VIKOR and TOPSIS methods are used to evaluate each alternative. As a main tool for charging station deployment, an integer programming model, which maximizes electric vehicle driver's utility in term of evaluation results, is developed and the effects of different evaluation techniques on deployment procedure is shown and compared.

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Published

31-03-2019
CITATION

How to Cite

Rouyendegh (B. Erdebilli), B. D., Dogru, C. I., & Aybirdi, C. B. (2019). A Comparison of Different Multi-Criteria Analyses for Electric Vehicle Charging Station Deployment. Communications in Mathematics and Applications, 10(1), 145–158. https://doi.org/10.26713/cma.v10i1.1126

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Section

Research Article