Knowledge Management System of Institutes of Science and Development ,CAS
Consumer preferences for electric vehicle charging infrastructure based on text mining method | |
Chi YY(迟远英)1; Wang YY(王媛媛)1; Xu JH(许金华)2; Jia-Lin Li3 | |
发表期刊 | Energies |
关键词 | charging infrastructure natural language processing public comment assessment consumer preferences regional differences |
摘要 | The construction of charging infrastructure has a positive effect on promoting the diffusion of new energy vehicles (NEVs). This study uses natural language processing (NLP) technology to explore consumer preferences for charging infrastructure from consumer comments posted on public social media. The findings show that consumers in first-tier cities pay more attention to charging infrastructure, and the number of comments accounted for 36% of the total. In all comments, consumers are most concerned about charging issues, national policy support, driving range, and installation of private charging piles. Among the charging modes of charging piles, direct current (DC) fast charging is more popular with consumers. The inability to find public charging piles in time to replenish power during travel or high energy consumption caused by air conditioning is the main reason for consumers’ range anxiety. Increasing battery performance, improving charging convenience, and construction of battery swap station are the main ways consumers prefer to increase driving range. Consumers’ preference for charging at home is the main reason for their high attention to the installation of private charging piles. However, the lack of fixed parking spaces and community properties have become the main obstacles to the installation of private charging piles. In addition, consumers in cities with different development levels pay different amounts of attention to each topic of charging infrastructure. Consumers in second-tier and above cities are most concerned about charging issues. Consumers in third-tier and above cities pay significantly more attention to the installation of private charging piles than consumers in fourth-tier and fifth-tier cities. Consumers in each city have almost the same amount of attention to driving range. |
2021-07-29 | |
卷号 | 14期号:15页码:4598 |
合作性质 | 国内 |
学科领域 | 管理学 |
学科门类 | 经济学 ; 管理学 |
DOI | 10.3390/en14154598 |
URL | 查看原文 |
收录类别 | SCI |
语种 | 英语 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.casisd.cn/handle/190111/11544 |
专题 | 中国科学院科技战略咨询研究院 产业科技创新研究部 |
通讯作者 | Chi YY(迟远英) |
作者单位 | 1.chool of Economics and Management, Beijing University of Technology, Beijing 100124, China 2.China Datang Group New Energy Science and Technology Research Institute, Beijing 100124, China 3.Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China |
推荐引用方式 GB/T 7714 | Chi YY,Wang YY,Xu JH,et al. Consumer preferences for electric vehicle charging infrastructure based on text mining method[J]. Energies,2021,14(15):4598. |
APA | Chi YY,Wang YY,Xu JH,&Jia-Lin Li.(2021).Consumer preferences for electric vehicle charging infrastructure based on text mining method.Energies,14(15),4598. |
MLA | Chi YY,et al."Consumer preferences for electric vehicle charging infrastructure based on text mining method".Energies 14.15(2021):4598. |
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