Consumer preferences for electric vehicle charging infrastructure based on text mining method
Chi YY(迟远英)3; Wang YY(王媛媛)3; Xu JH(许金华)2; Jia-Lin Li1
刊名Energies
2021-07-29
卷号14期号:15页码:4598
关键词charging infrastructure natural language processing public comment assessment consumer preferences regional differences
DOI10.3390/en14154598
英文摘要

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.

学科主题管理学
URL标识查看原文
语种英语
内容类型期刊论文
源URL[http://ir.casisd.cn/handle/190111/11544]  
专题中国科学院科技战略咨询研究院
通讯作者Chi YY(迟远英)
作者单位1.Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
2.China Datang Group New Energy Science and Technology Research Institute, Beijing 100124, China
3.chool of Economics and Management, Beijing University of Technology, Beijing 100124, 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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