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 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.

[1]  Haobo Zhang,et al.  Study of decision framework of wind farm project plan selection under intuitionistic fuzzy set and fuzzy measure environment , 2014 .

[2]  Ravi Shankar,et al.  An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India , 2012 .

[3]  Ker-Wei Yu,et al.  Application of a New Hybrid Fuzzy AHP Model to the Location Choice , 2013 .

[4]  Mohamad Hamzeh,et al.  Raster-based outranking method: a new approach for municipal solid waste landfill (MSW) siting , 2015, Environmental Science and Pollution Research.

[5]  K. Devi,et al.  A multicriteria intuitionistic fuzzy group decision making for plant location selection with ELECTRE method , 2012, The International Journal of Advanced Manufacturing Technology.

[6]  Shu-Ping Wan,et al.  The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers , 2013, Knowl. Based Syst..

[7]  Cengiz Kahraman,et al.  Minimizing Environmental Risks Using Fuzzy TOPSIS: Location Selection for the ITU Faculty of Management , 2015 .

[8]  Nicos X. Tsiourtis,et al.  Criteria and procedure for selecting a site for a desalination plant , 2008 .

[9]  Luis C. Dias,et al.  Stochastic comparative assessment of life-cycle greenhouse gas emissions from conventional and electric vehicles , 2015, The International Journal of Life Cycle Assessment.

[10]  Golam Kabir,et al.  Power substation location selection using fuzzy analytic hierarchy process and PROMETHEE: A case study from Bangladesh , 2014 .

[11]  J. Xie,et al.  The Current Dilemma and Future Path of China’s Electric Vehicles , 2014 .

[12]  Ching-Hsue Cheng,et al.  Using intuitionistic fuzzy sets for fault-tree analysis on printed circuit board assembly , 2006, Microelectron. Reliab..

[13]  Ahmad Makui,et al.  A new flexible and reliable interval valued fuzzy VIKOR method based on uncertainty risk reduction in decision making process: An application for determining a suitable location for digging some pits for municipal wet waste landfill , 2014, Comput. Ind. Eng..

[14]  Feng Tian-tian,et al.  Macro-site selection of wind/solar hybrid power station based on Ideal Matter-Element Model , 2013 .

[15]  Ismail Erol,et al.  Fuzzy MCDM framework for locating a nuclear power plant in Turkey , 2014 .

[16]  Cengiz Kahraman,et al.  Fuzzy multicriteria disposal method and site selection for municipal solid waste. , 2010, Waste management.

[17]  Shuai Geng,et al.  Multi-criteria decision making on selection of solar–wind hybrid power station location: A case of China , 2014 .

[18]  Aysun Özkan,et al.  A New Approach for Site Selection of Air Quality Monitoring Stations: Multi-Criteria Decision-Making , 2016 .

[19]  Chien-Chang Chou,et al.  An Evaluation Model of Quantitative and Qualitative Fuzzy Multi-Criteria Decision-Making Approach for Location Selection of Transshipment Ports , 2013 .

[20]  Nakul Sathaye,et al.  An approach for the optimal planning of electric vehicle infrastructure for highway corridors , 2013 .

[21]  Abdolvahhab Fetanat,et al.  A novel hybrid MCDM approach for offshore wind farm site selection: A case study of Iran , 2015 .

[22]  Dan Wu,et al.  Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China , 2016 .

[23]  Jian Liu,et al.  Electric vehicle charging infrastructure assignment and power grid impacts assessment in Beijing , 2012 .

[24]  Jianxin Yang,et al.  Electric vehicle transformation in Beijing and the comparative eco-environmental impacts: A case study of electric and gasoline powered taxis , 2016 .

[25]  Jicheng Liu,et al.  A VIKOR-based approach for assessing the service performance of electric vehicle sharing programs: A case study in Beijing , 2017 .

[26]  Min Gao,et al.  Decision framework of solar thermal power plant site selection based on linguistic Choquet operator , 2014 .

[27]  Dong Jun,et al.  Macro-site selection of wind/solar hybrid power station based on ELECTRE-II , 2014 .

[28]  Ali Akbar Babaei,et al.  Landfill site selection using GIS and AHP: a case study: Behbahan, Iran , 2016, KSCE Journal of Civil Engineering.

[29]  Birol Elevli,et al.  Logistics freight center locations decision by using Fuzzy-PROMETHEE , 2014 .

[30]  Alexandros G. Charalambides,et al.  Environmental, Economical and Marketing Aspects of the Operation of a Waste-to-Energy Plant in the Kotsiatis Landfill in Cyprus , 2013 .

[31]  Deng-Feng Li,et al.  A ratio ranking method of triangular intuitionistic fuzzy numbers and its application to MADM problems , 2010, Comput. Math. Appl..

[32]  Haobo Zhang,et al.  Optimal Site Selection of Electric Vehicle Charging Stations Based on a Cloud Model and the PROMETHEE Method , 2016 .

[33]  Meng Yang,et al.  Cloud-based decision framework for waste-to-energy plant site selection - A case study from China. , 2016, Waste management.

[34]  Li Li,et al.  A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers , 2017, Appl. Soft Comput..

[35]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[36]  Akbar A. Javadi,et al.  AN INTEGRATED DECISION SUPPORT SYSTEM FOR DAM SITE SELECTION , 2015 .

[37]  Boqiang Lin,et al.  Estimation of the environmental values of electric vehicles in Chinese cities , 2017 .

[38]  Shu-Ping Wan,et al.  Some new generalized aggregation operators for triangular intuitionistic fuzzy numbers and application to multi-attribute group decision making , 2016, Comput. Ind. Eng..

[39]  Xinyue Ye,et al.  A group-based spatial decision support system for wind farm site selection in Northwest Ohio , 2013 .

[40]  Ebrahim Ahmadisharaf,et al.  Integrating flood hazard into site selection of detention basins using spatial multi-criteria decision-making , 2016 .

[41]  Jiang-Xia Nan,et al.  A Ranking Method of Triangular Intuitionistic Fuzzy Numbers and Application to Decision Making , 2010, Int. J. Comput. Intell. Syst..

[42]  Ying Liu,et al.  Minimum Risk Facility Location-Allocation Problem with Type-2 Fuzzy Variables , 2014, TheScientificWorldJournal.

[43]  Jian-Xin You,et al.  Site selection in municipal solid waste management with extended VIKOR method under fuzzy environment , 2014, Environmental Earth Sciences.

[44]  Dionysios Latinopoulos,et al.  A GIS-based multi-criteria evaluation for wind farm site selection. A regional scale application in Greece , 2015 .

[45]  Ahmet Can Kutlu,et al.  A Fuzzy Multi-Criteria SWOT Analysis: An Application to Nuclear Power Plant Site Selection , 2011, Int. J. Comput. Intell. Syst..

[46]  Diego Klabjan,et al.  An agent-based decision support system for electric vehicle charging infrastructure deployment , 2011, 2011 IEEE Vehicle Power and Propulsion Conference.

[47]  Alois Kessler,et al.  Modelling the development of a regional charging infrastructure for electric vehicles in time and space , 2012 .

[48]  Yan Xu,et al.  A Multi-Objective Collaborative Planning Strategy for Integrated Power Distribution and Electric Vehicle Charging Systems , 2014, IEEE Transactions on Power Systems.

[49]  Ünal Kurt,et al.  The fuzzy TOPSIS and generalized Choquet fuzzy integral algorithm for nuclear power plant site selection – a case study from Turkey , 2014 .

[50]  Binquan Liao,et al.  Einstein Choquet Integral Operators for PROMETHEE II Group Decision Making Method with Triangular Intuitionistic Fuzzy Numbers , 2016 .

[51]  S. Wan.  Power average operators of trapezoidal intuitionistic fuzzy numbers and application to multi-attribute group decision making , 2013 .

[52]  Huiru Zhao,et al.  Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective , 2015 .

[53]  Wei Sun,et al.  Risk assessment of hydropower stations through an integrated fuzzy entropy-weight multiple criteria decision making method: A case study of the Xiangxi River , 2015, Expert Syst. Appl..

[54]  Jianping Yuan,et al.  Study of decision framework of offshore wind power station site selection based on ELECTRE-III under intuitionistic fuzzy environment: A case of China , 2016 .

[55]  Igor Milosevic,et al.  The application of a multi-parameter analysis in choosing the location of a new solid waste landfill in Serbia , 2013, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[56]  Chunlin Guo,et al.  Optimal Siting of Electric Vehicle Charging Stations Based on Voronoi Diagram and FAHP Method , 2013 .

[57]  Juan Pedro Luna Gonzalez,et al.  INTRODUCCIÓN DE CRITERIOS DE SOSTENIBILIDAD EN LA ELECCIÓN DE EMPLAZAMIENTOS INDUSTRIALES MEDIANTE MODELOS MULTICRITERIO , 2014 .

[58]  Ahmet Beskese,et al.  Landfill site selection using fuzzy AHP and fuzzy TOPSIS: a case study for Istanbul , 2015, Environmental Earth Sciences.

[59]  Jacek Malczewski,et al.  Using the fuzzy majority approach for GIS-based multicriteria group decision-making , 2010, Comput. Geosci..

[60]  Gwo-Hshiung Tzeng,et al.  Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS , 2004, Eur. J. Oper. Res..

[61]  A. M. Abudeif,et al.  Multicriteria decision analysis based on analytic hierarchy process in GIS environment for siting nuclear power plant in Egypt , 2015 .

[62]  Y. Azoumah,et al.  Siting guidelines for concentrating solar power plants in the Sahel: Case study of Burkina Faso , 2010 .

[63]  E. Dütschke,et al.  How do Consumers Perceive Electric Vehicles? A Comparison of German Consumer Groups , 2014 .

[64]  Zhengyi Yao,et al.  Research on an optimal site selection model for desert photovoltaic power plants based on analytic hierarchy process and geographic information system , 2013 .

[65]  Ali Akbar Babaei,et al.  Municipal solid waste landfill site selection with geographic information systems and analytical hierarchy process: a case study in Mahshahr County, Iran , 2013, Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA.

[66]  Prakornchai Phonrattanasak,et al.  Optimal placement of EV fast charging stations considering the impact on electrical distribution and traffic condition , 2014, 2014 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE).

[67]  Huiru Zhao,et al.  Optimal Siting of Charging Stations for Electric Vehicles Based on Fuzzy Delphi and Hybrid Multi-Criteria Decision Making Approaches from an Extended Sustainability Perspective , 2016 .