Electric Vehicle Charging Station Location Decision Analysis for a Two-Stage Optimization Model Based on Shapley Function

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 ind...

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Main Authors: Lifeng Yang, Zhongwei Cheng, Baojie Zhang, Fengyun Ma
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2021/5098378
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author Lifeng Yang
Zhongwei Cheng
Baojie Zhang
Fengyun Ma
author_facet Lifeng Yang
Zhongwei Cheng
Baojie Zhang
Fengyun Ma
author_sort Lifeng Yang
collection DOAJ
description 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.
format Article
id doaj-art-b60bbcdd597c4e6aa8c906364a189f4c
institution Kabale University
issn 2314-4629
2314-4785
language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-b60bbcdd597c4e6aa8c906364a189f4c2025-02-03T07:24:24ZengWileyJournal of Mathematics2314-46292314-47852021-01-01202110.1155/2021/50983785098378Electric Vehicle Charging Station Location Decision Analysis for a Two-Stage Optimization Model Based on Shapley FunctionLifeng Yang0Zhongwei Cheng1Baojie Zhang2Fengyun Ma3School of Economics, Fuyang Normal University, Fuyang 236037, ChinaSchool of Economics, Fuyang Normal University, Fuyang 236037, ChinaSchool of Business, Fuyang Normal University, Fuyang 236037, ChinaHebei North Diesel Engine Co., Ltd., Zhongshan West Road 198, Shijiazhuang 050081, ChinaThe 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.http://dx.doi.org/10.1155/2021/5098378
spellingShingle Lifeng Yang
Zhongwei Cheng
Baojie Zhang
Fengyun Ma
Electric Vehicle Charging Station Location Decision Analysis for a Two-Stage Optimization Model Based on Shapley Function
Journal of Mathematics
title Electric Vehicle Charging Station Location Decision Analysis for a Two-Stage Optimization Model Based on Shapley Function
title_full Electric Vehicle Charging Station Location Decision Analysis for a Two-Stage Optimization Model Based on Shapley Function
title_fullStr Electric Vehicle Charging Station Location Decision Analysis for a Two-Stage Optimization Model Based on Shapley Function
title_full_unstemmed Electric Vehicle Charging Station Location Decision Analysis for a Two-Stage Optimization Model Based on Shapley Function
title_short Electric Vehicle Charging Station Location Decision Analysis for a Two-Stage Optimization Model Based on Shapley Function
title_sort electric vehicle charging station location decision analysis for a two stage optimization model based on shapley function
url http://dx.doi.org/10.1155/2021/5098378
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AT zhongweicheng electricvehiclechargingstationlocationdecisionanalysisforatwostageoptimizationmodelbasedonshapleyfunction
AT baojiezhang electricvehiclechargingstationlocationdecisionanalysisforatwostageoptimizationmodelbasedonshapleyfunction
AT fengyunma electricvehiclechargingstationlocationdecisionanalysisforatwostageoptimizationmodelbasedonshapleyfunction