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Selection of charging sites for electric vehicles in the Republic of Korea based on fuzzy analytic hierarchy process
Journal of the Korean Physical Society ( IF 0.6 ) Pub Date : 2021-07-12 , DOI: 10.1007/s40042-021-00128-9
Byung-Hyun Lee 1 , Byung-Sik Kim 1 , Se-Jin Jung 2 , Jang-Hyun Sung 3 , O-kyu Kwon 4
Affiliation  

A Korean demand survey indicates that the number of stations (1070) that the government currently plans to install does not satisfy the demand (1371) for charging stations. Therefore, this study aims to identify the planned 1070 stations’ proper locations across the nation and select the same number out of 1371 points by deciding the optimal number and locations required by the Korean government to implement their strategy. This strategy requires a proposed formula that estimates the deficit of each of the three groups in South Korea. In this study, the deficit is defined as the maximum number of electric charging stations that can be installed in a group. Here, the charging infrastructure location index (CILI), a combination of the charging demand ability indicator (\(\mathrm{CDI}\)), user convenience indicator (UCI), and Ease of installation indicator (EI), was used, followed by the selection of charging points with higher values. The fuzzy analytic hierarchy process (AHP) and the survey results were applied to calculate each indicator’s weight. After analysis, the results show that a proper charging station location should include a high electric vehicle penetration rate, solid charging infrastructures secured in a given area, high road network density, and high traffic volumes in city centers. However, some cities are not considered proper sites for charging stations. For example, Sejong-si is currently under development, and Incheon-si has islands and coastal areas that cover half of its total surface area. Ulsan-si also shows unfavorable conditions for charging stations because the city, known for manufacturing automobiles, has low potential demand; its vehicle market is saturated with cars powered by coal-based fuel, and its city centers are developed around basins and coastal areas that increase flood risks. These results of this study were used to select charging station sites after considering numerous factors, ranging from installation to potential demand; increased electric vehicle use is expected when the stations are installed at the proposed locations.



中文翻译:

基于模糊层次分析法的韩国电动汽车充电站点选择

一项韩国需求调查显示,政府目前计划安装的充电站数量(1070 个)并不能满足充电站的需求(1371 个)。因此,本研究旨在通过确定韩国政府实施其战略所需的最佳数量和位置,确定计划在全国范围内的 1070 个站点的适当位置,并从 1371 个站点中选择相同的数量。该策略需要一个拟议的公式来估算韩国三个群体中的每一个群体的赤字。在这项研究中,赤字被定义为一个组中可以安装的充电站的最大数量。这里,充电基础设施位置指数(CILI),充电需求能力指标(\(\mathrm{CDI}\))、用户便利指标 (UCI) 和易于安装指标 (EI),然后选择具有较高值的​​充电点。应用模糊层次分析法(AHP)和调查结果计算各指标的权重。经过分析,结果表明,合适的充电站位置应包括高电动汽车普及率、特定区域内稳固的充电基础设施、高道路网络密度以及市中心的高交通量。然而,一些城市不被认为是充电站的合适地点。例如,世宗市目前正在开发中,仁川市的岛屿和沿海地区占其总面积的一半。蔚山市也显示出充电站的不利条件,因为城市、以制造汽车而闻名,潜在需求低;它的汽车市场充斥着以煤为燃料的汽车,它的城市中心围绕着增加洪水风险的盆地和沿海地区发展。在考虑了从安装到潜在需求的众多因素后,本研究的这些结果用于选择充电站站点;在拟建地点安装这些车站后,预计电动汽车的使用会增加。

更新日期:2021-07-12
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