A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing
Yunna Wu,
Chao Xie,
Chuanbo Xu and
Fang Li
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Yunna Wu: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Chao Xie: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Chuanbo Xu: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Fang Li: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Energies, 2017, vol. 10, issue 9, 1-25
Abstract:
Electric vehicle charging station (EVCS) site selection occupies a prominent position in the development of the electric community to solve the hard problem of Electric Vehicle (EV) charging. However, two critical issues have not been solved by the existing research. Firstly, the scope of EVCS site selection only considers the whole city, which deviates from the actual situation. Secondly, the uncertainty and hesitation of decision information is not well expressed. To handle the above problems, this paper builds a comprehensive EVCS site selection decision framework for Residential Communities (EVCSRC) with triangular intuitionistic fuzzy numbers (TIFNs). First of all, the distinctive index system of EVCSRC site selection factors including economy, social, environment, planning and feature portrait of residential communities is established. Then, the TIFNs is utilized for decision makers (DMs) to express the indeterminate information. Furthermore, a fuzzy Vlsekriterijumska Optimizacija I Kompromisno Resenje (Fuzzy-VIKOR) is approach is utilized to rank the alternative EVCSRC sites. Finally, a case of Beijing is studied to demonstrate the validity of the proposed site selection framework. The result shows the EVCSRC site located at Sijiqing community in Haidian district should be selected as the optimal site. This paper presents a feasible and easy-to-use decision-making framework for investors.
Keywords: electric vehicle charging stations; residential community; triangular intuitionistic fuzzy numbers; Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (11)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:9:p:1270-:d:109934
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