Lanxin Shi , Shiqi (Shawn) Ou , Yanzi Zhou , Yonglin Wu , Xiaolu Tan , Xin He , Daniel J. De Castro Gomez , Zhenhong Lin
{"title":"Assessing Chinese user satisfaction with electric vehicle battery performance from online reviews","authors":"Lanxin Shi , Shiqi (Shawn) Ou , Yanzi Zhou , Yonglin Wu , Xiaolu Tan , Xin He , Daniel J. De Castro Gomez , Zhenhong Lin","doi":"10.1016/j.trd.2025.104644","DOIUrl":null,"url":null,"abstract":"<div><div>This study employs data-scraping and analysis of 11,525 Plug-in Electric Vehicle (PEV) user reviews from 2018 to 2024, focusing on users’ battery performance satisfaction with electric range, battery degradation, and charging experience. Using SnowNLP, Multinomial Naive Bayes, and Bidirectional Encoder Representations from Transformers (BERT), along with an explainable machine learning algorithm, the findings identify location and vehicle price as critical factors influencing PEV perceptions. Battery Electric Vehicles (BEVs) receive consistently more positive feedback than Plug-in Hybrid Electric Vehicles (PHEVs) across the Chinese Mainland, though satisfaction for both declines with vehicle age. PEVs with an all-electric range of under 100 km get predominantly negative reviews after over four years of use. To boost PEV adoption and satisfaction, targeted incentives for PHEVs with 150–200 km and BEVs with 550–600 km range in lower-tier cities are recommended. These findings offer valuable insights for manufacturers and policymakers promoting PEV market growth in China.</div></div>","PeriodicalId":23277,"journal":{"name":"Transportation Research Part D-transport and Environment","volume":"141 ","pages":"Article 104644"},"PeriodicalIF":7.3000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part D-transport and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1361920925000549","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
This study employs data-scraping and analysis of 11,525 Plug-in Electric Vehicle (PEV) user reviews from 2018 to 2024, focusing on users’ battery performance satisfaction with electric range, battery degradation, and charging experience. Using SnowNLP, Multinomial Naive Bayes, and Bidirectional Encoder Representations from Transformers (BERT), along with an explainable machine learning algorithm, the findings identify location and vehicle price as critical factors influencing PEV perceptions. Battery Electric Vehicles (BEVs) receive consistently more positive feedback than Plug-in Hybrid Electric Vehicles (PHEVs) across the Chinese Mainland, though satisfaction for both declines with vehicle age. PEVs with an all-electric range of under 100 km get predominantly negative reviews after over four years of use. To boost PEV adoption and satisfaction, targeted incentives for PHEVs with 150–200 km and BEVs with 550–600 km range in lower-tier cities are recommended. These findings offer valuable insights for manufacturers and policymakers promoting PEV market growth in China.
期刊介绍:
Transportation Research Part D: Transport and Environment focuses on original research exploring the environmental impacts of transportation, policy responses to these impacts, and their implications for transportation system design, planning, and management. The journal comprehensively covers the interaction between transportation and the environment, ranging from local effects on specific geographical areas to global implications such as natural resource depletion and atmospheric pollution.
We welcome research papers across all transportation modes, including maritime, air, and land transportation, assessing their environmental impacts broadly. Papers addressing both mobile aspects and transportation infrastructure are considered. The journal prioritizes empirical findings and policy responses of regulatory, planning, technical, or fiscal nature. Articles are policy-driven, accessible, and applicable to readers from diverse disciplines, emphasizing relevance and practicality. We encourage interdisciplinary submissions and welcome contributions from economically developing and advanced countries alike, reflecting our international orientation.