Abstract
The promotion of electric vehicles and their charging facilities to achieve carbon emission reduction is a research hotspot in the field of transportation. Aiming at the comprehensive decision of electric vehicle charging station (EVCS) location, this paper constructs an EVCS location evaluation index system that includes five indexes of grid load, traffic facilities, user preference, construction cost, and service radius. Firstly, we convert the exact number into interval judgment matrix, introduce Shapley fuzzy measure to calculate the weight of factors, and use the two-stage optimization model to further optimize the weight. Then, we combine the multiple criteria decision-making (MCDM) method in the Pythagorean fuzzy environment with partitioned normalized weighted Bonferroni mean (PFPNWBM) operator, and calculate the optimal ranking of alternatives according to the performance function and the accuracy function. Finally, a numerical example is used to analyze the difference between first-order linear optimization and two-stage optimization in alternative scheme evaluation, and the practical value of using model to evaluate EVCS location is verified.
Highlights
Under the pressure of carbon emission reduction and carbon neutrality, the promotion and use of new energy vehicles represented by electric vehicles are becoming increasingly popular. e location and construction of electric vehicle charging station (EVCS) have attracted extensive attention in the academic community [1]
Using scientific methods to evaluate EVCS location is of great significance for improving the design, development, promotion, and application of EV. is paper builds a systematic EVCS location evaluation index system on the basis of comprehensive domestic and foreign research results on EV evaluation and various charging station location evaluation
In order to better deal with the heterogeneity, fuzziness, and uncertainty of expert evaluation information, this study introduces 1–9 evaluation scale for qualitative paired comparison and constructs interval fuzzy quantitative evaluation matrix by converting the exact number into the intuitionistic fuzzy set and other relevant theoretical results
Summary
Under the pressure of carbon emission reduction and carbon neutrality, the promotion and use of new energy vehicles represented by electric vehicles are becoming increasingly popular. e location and construction of EVCS have attracted extensive attention in the academic community [1]. For the significance of Shapley fuzzy measure method in measuring the importance of elements and the interaction characteristics of combinations between elements, Tan et al [22] used Shapley comprehensive authorization benefit distribution method to analyze the energy storage and charging pile project This method is often used in conjunction with MCDM to study program decision-making problems. The heterogeneity of experts and the incomplete information of the weights in the evaluation are well dealt with by establishing a two-stage optimization model to identify the optimal Shapley fuzzy measure, which provides some theoretical support and practical methods for EVCS location construction
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