在政策与市场的推动下,我国电动汽车充电基础设施保有量大幅增长。本文从运营商视角出发,运用因子分析对赣州市下属县级区域公共充电站进行效能评估。本文以赣州市周边县及区域充电站为对象,并与加入部分中心城区站点对比。首先本文筛...在政策与市场的推动下,我国电动汽车充电基础设施保有量大幅增长。本文从运营商视角出发,运用因子分析对赣州市下属县级区域公共充电站进行效能评估。本文以赣州市周边县及区域充电站为对象,并与加入部分中心城区站点对比。首先本文筛选并确认充电站运营评估指标体系,指标数据由供电局提供。然后运用spss软件对数据进行因子分析,经因子分析得出KMO取样适切性量数大于0.6,表明数据适合进行因子分析,并得出站点效益性和设备稳定性两个主因子。通过加权平均计算每个站点综合得分,综合得分大于0的站点代表高于平均水平,发现综合得分大于0的站点占比35.7%,其中县级区域仅8个,占县及区域总数的25%,表明县级区域大多数站点效能水平较低,提升空间大。最后,从运营商和政府层面、充电站规划建设方面制定提出建议。Driven by policies and the market, the retention volume of charging infrastructures for electric vehicles in China has increased significantly. From the perspective of operators, this paper conducts an efficiency evaluation of public charging stations in county-level regions under Ganzhou City using factor analysis. This paper takes the charging stations in the surrounding counties and regions of Ganzhou City as the object and makes a comparison by adding some central urban area stations. Firstly, this paper screens and confirms the operation evaluation index system of charging stations, and the index data is provided by the power supply bureau. Then, SPSS software is used to conduct factor analysis on the data. Through factor analysis, it is concluded that the KMO sampling adequacy measure is greater than 0.6, indicating that the data is suitable for factor analysis, and two main factors, namely site efficiency and equipment stability, are obtained. By calculating the comprehensive score of each station through weighted average, stations with a comprehensive score greater than 0 represent a level above the average. It is found that the proportion of stations with a comprehensive score greater than 0 is 35.7%, of which only 8 are in county-level regions, accounting for 25% of the total number of counties and regions, indicating that the efficiency level of most stations in county-level regions is low and there is a large space for improvement. Finally, suggestions are formulated and proposed from the aspects of operators and the government, as well as the planning and construction of charging stations.展开更多
文摘在政策与市场的推动下,我国电动汽车充电基础设施保有量大幅增长。本文从运营商视角出发,运用因子分析对赣州市下属县级区域公共充电站进行效能评估。本文以赣州市周边县及区域充电站为对象,并与加入部分中心城区站点对比。首先本文筛选并确认充电站运营评估指标体系,指标数据由供电局提供。然后运用spss软件对数据进行因子分析,经因子分析得出KMO取样适切性量数大于0.6,表明数据适合进行因子分析,并得出站点效益性和设备稳定性两个主因子。通过加权平均计算每个站点综合得分,综合得分大于0的站点代表高于平均水平,发现综合得分大于0的站点占比35.7%,其中县级区域仅8个,占县及区域总数的25%,表明县级区域大多数站点效能水平较低,提升空间大。最后,从运营商和政府层面、充电站规划建设方面制定提出建议。Driven by policies and the market, the retention volume of charging infrastructures for electric vehicles in China has increased significantly. From the perspective of operators, this paper conducts an efficiency evaluation of public charging stations in county-level regions under Ganzhou City using factor analysis. This paper takes the charging stations in the surrounding counties and regions of Ganzhou City as the object and makes a comparison by adding some central urban area stations. Firstly, this paper screens and confirms the operation evaluation index system of charging stations, and the index data is provided by the power supply bureau. Then, SPSS software is used to conduct factor analysis on the data. Through factor analysis, it is concluded that the KMO sampling adequacy measure is greater than 0.6, indicating that the data is suitable for factor analysis, and two main factors, namely site efficiency and equipment stability, are obtained. By calculating the comprehensive score of each station through weighted average, stations with a comprehensive score greater than 0 represent a level above the average. It is found that the proportion of stations with a comprehensive score greater than 0 is 35.7%, of which only 8 are in county-level regions, accounting for 25% of the total number of counties and regions, indicating that the efficiency level of most stations in county-level regions is low and there is a large space for improvement. Finally, suggestions are formulated and proposed from the aspects of operators and the government, as well as the planning and construction of charging stations.
