{"title":"Charging Location Selection Based on the Investigation of Charging Behavior of Private Cars","authors":"M. Wen, Wang Xiang, Jincan Sun","doi":"10.1109/ICSCDE54196.2021.00026","DOIUrl":null,"url":null,"abstract":"In recent years, electric vehicles have become a new direction for the development of urban low-carbon transportation. However, the unreasonable layout of charging facilities has gradually led to problems such as difficulty in charging in some areas, which has brought range anxiety to EV users and potential buyers and hindered the development of EV to a certain extent. Therefore, an in-depth study of EV users' charging behavior is of great significance to optimize the layout of charging stations. In this paper, the charging behavior of EV users was investigated and analyzed by means of questionnaire survey, and then the influence of personal attributes, travel characteristics and charging behavior on the selection of charging location was studied and discussed by using the multivariate Logit model. Charging locations are divided into three categories: living work area charging stations, shopping malls charging stations and social public charging stations. Living work area charging stations include residential area charging stations and unit/company charging stations. The results show that family annual income, travel time consumption per trip, average number of daily trips, travel purposes, and whether quick charging is usually used have significant effects on users' choice of charging locations.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCDE54196.2021.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, electric vehicles have become a new direction for the development of urban low-carbon transportation. However, the unreasonable layout of charging facilities has gradually led to problems such as difficulty in charging in some areas, which has brought range anxiety to EV users and potential buyers and hindered the development of EV to a certain extent. Therefore, an in-depth study of EV users' charging behavior is of great significance to optimize the layout of charging stations. In this paper, the charging behavior of EV users was investigated and analyzed by means of questionnaire survey, and then the influence of personal attributes, travel characteristics and charging behavior on the selection of charging location was studied and discussed by using the multivariate Logit model. Charging locations are divided into three categories: living work area charging stations, shopping malls charging stations and social public charging stations. Living work area charging stations include residential area charging stations and unit/company charging stations. The results show that family annual income, travel time consumption per trip, average number of daily trips, travel purposes, and whether quick charging is usually used have significant effects on users' choice of charging locations.