江西科学2026，Vol.44Issue(3)：478-485,8.DOI:10.13990/j.issn1001-3679.2026.03.015
基于多源数据融合的电动汽车充电站选址指标体系及其评价研究
A Site Seletion Index System and Evaluation Method for Electric Vehicle Charging Stations Based on Multi-source Data Fusion
摘要
Abstract
Addressing the shortcomings of existing site selection index systems for charging stations and the lack of scientific rigor in their evaluation methods,an index system and an e-valuation method for electric vehicle charging station siting based on multi-source data fu-sion were proposed.On the basis of multi-source data fusion,five influencing factors,namely population density,business district density,parking lot density,distance from ex-isting charging stations and distribution network capacity,were selected to construct the in-dex system for charging station siting.The Analytic Hierarchy Process(AHP)was em-ployed to calculate the weight of each index.A siting evaluation model based on random for-est regression was designed.By establishing a nonlinear mapping relationship between site selection characteristic factors and operational benefits,candidate sites were classified and graded.Taking four candidate sites in Nanchang city as research samples,site selection anal-ysis and comprehensive evaluation were conducted.The experimental results demonstrated that the proposed method achieved high accuracy and satisfactory applicability.关键词
电动汽车充电站选址/多源数据融合/层次分析法/随机森林回归/配网兼容性Key words
electric vehicle charging station site selection/multi-sources data fusion/analytic hierarchy process/random forest regression/distribution network compatibility分类
交通工程引用本文复制引用
熊小舟,曹腾辉..基于多源数据融合的电动汽车充电站选址指标体系及其评价研究[J].江西科学,2026,44(3):478-485,8.基金项目
国网江西省电力有限公司科技项目(521835250008) （521835250008）
江西省自然科学基金项目(20132BAB211031). （20132BAB211031）
