节点文献
基于熵权TOPSIS法的传统加油站增设充电站选址优化研究
Research on Optimization of Location Selection for Adding Charging Stations to Traditional Gas Stations Based on Entropy Weight TOPSIS Method
【摘要】 在“双碳”目标引领与新能源汽车规模化发展背景下,传统加油站向“油电一体化”转型成为必然,充电站的科学选址是转型成功的关键。本文以传统加油站增设充电站的选址优化为核心,采用SWOT分析法剖析其开展充电业务的优劣势与机遇风险,构建涵盖经济、交通、安全等维度的选址评价准则体系,建立基于熵权TOPSIS法的综合评价模型,通过熵权法确定指标权重,结合TOPSIS法对备选方案排序。案例应用验证了模型的可行性与实用性,解决了传统选址主观偏差大的问题,可以为传统加油站增设充电站的选址决策提供量化支撑。
【Abstract】 Under the guidance of the "dual carbon" target and the background of large-scale development of new energy vehicles, the transformation of traditional gas stations to "oil electricity integration" has become inevitable, and the scientific selection of charging stations is the key to the success of the transformation. This article focuses on optimizing the selection of charging stations for traditional gas stations, using SWOT analysis to analyze the advantages, disadvantages, opportunities, and risks of carrying out charging business. It constructs a site selection evaluation criteria system covering economic, transportation, safety, and other dimensions, establishes a comprehensive evaluation model based on entropy weight TOPSIS method, objectively determines indicator weights through entropy weight method, and combines TOPSIS method to rank alternative solutions. The case application verified the feasibility and practicality of the model, solved the problem of large subjective bias in traditional site selection, and provided quantitative support for the decision-making of adding charging stations to traditional gas stations.
【Key words】 location selection of charging stations; gas station transformation; entropy weight TOPSIS;
- 【文献出处】 中国科技纵横 ,China Science & Technology Overview , 编辑部邮箱 ,2026年07期
- 【分类号】U473.8;U491.8
- 【下载频次】7