上海管理科学2025，Vol.47Issue(2)：43-47,5.
基于数据挖掘的新能源汽车用户感知研究
Research on User Perception of New Energy Vehicles Based on Data Mining
曾若辰 1石鼎鑫2
作者信息
- 1. 上海大学悉尼工商学院,上海 201899
- 2. 上海浦东发展银行,上海 200120
- 折叠
摘要
Abstract
Electric vehicle have shown explosive growth in recent years,but the growing electric ve-hicle industry has also led to many problems,such as uneven product quality and poor user experience.Therefore,in the increasingly competitive market,how to timely and accurately grasp the consumer demand,understand the consumer evaluation information on various aspects of the product,to bring better products and services for consumers is crucial.Traditional methods such as questionnaire sur-veys to obtain consumer demand and quality evaluation obviously can no longer meet the current needs.In this paper,the market information of electric vehicle was analyzed through data mining tech-nology to explore user needs and pain points.The study finds that users'concerns about electric ve-hicle are mainly focused on cost-effectiveness,interior,space and other aspects.At the same time,the study also finds that users are generally more satisfied with the appearance of electric vehicle,and generally less satisfied with the comfort.关键词
新能源汽车/数据挖掘/用户感知Key words
electric vehicle/data mining/user perception分类
经济学引用本文复制引用
曾若辰,石鼎鑫..基于数据挖掘的新能源汽车用户感知研究[J].上海管理科学,2025,47(2):43-47,5.
