A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/10/9/1270 |
| _version_ | 1798006319350808576 |
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| author | Yunna Wu Chao Xie Chuanbo Xu Fang Li |
| author_facet | Yunna Wu Chao Xie Chuanbo Xu Fang Li |
| author_sort | Yunna Wu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T12:54:05Z |
| format | Article |
| id | doaj.art-7c91e6cb803e43edaf9403569ea229bf |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T12:54:05Z |
| publishDate | 2017-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-7c91e6cb803e43edaf9403569ea229bf2022-12-22T04:23:08ZengMDPI AGEnergies1996-10732017-08-01109127010.3390/en10091270en10091270A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of BeijingYunna Wu0Chao Xie1Chuanbo Xu2Fang Li3School of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaSchool of Economics and Management, North China Electric Power University, Beijing 102206, ChinaElectric 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.https://www.mdpi.com/1996-1073/10/9/1270electric vehicle charging stationsresidential communitytriangular intuitionistic fuzzy numbersVlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) |
| spellingShingle | Yunna Wu Chao Xie Chuanbo Xu Fang Li A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing Energies electric vehicle charging stations residential community triangular intuitionistic fuzzy numbers Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) |
| title | A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing |
| title_full | A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing |
| title_fullStr | A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing |
| title_full_unstemmed | A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing |
| title_short | A Decision Framework for Electric Vehicle Charging Station Site Selection for Residential Communities under an Intuitionistic Fuzzy Environment: A Case of Beijing |
| title_sort | decision framework for electric vehicle charging station site selection for residential communities under an intuitionistic fuzzy environment a case of beijing |
| topic | electric vehicle charging stations residential community triangular intuitionistic fuzzy numbers Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) |
| url | https://www.mdpi.com/1996-1073/10/9/1270 |
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