How about electric vehicle? Sensing owners’ experiences and attitudes through online short video

Qinyu Cui, Yan Zhang, Haoran Ma, Kaihan Zhang, Jinhan Peng, Zemu Chen, Peiqun Lin and Zhenhong Lin

Transport Policy, 2025, vol. 167, issue C, 1-15

Abstract: Understanding the experiences and attitudes of electric vehicle (EV) owners is crucial for driving EV sales and thus promoting a sustainable environment. Previous studies have used costly and inflexible crowdsourced questionnaires to assess EV owner satisfaction. This study adopts an innovative approach by analyzing 41 h of video interviews with 2101 EV owners from a short video platform. Utilizing the Latent Dirichlet Allocation (LDA) model, topics of concern for EV owners were identified, followed by sentiment analysis supported by a large language model (LLM) and random forest model. The results indicate that 1) “After-sales & Brand (19.75 %),” “Performance Experience (25.63 %),” “Functionality & Comfort (31.76 %),” and “Car Cost (22.86 %)” are the four main concerns of EV owners. Notably, concern for car costs is rising, while after-sales service is decreasing. 2) While EV ownership is mostly male, female owners exhibit a higher percentage of positive sentiment, with 47.16 % compared to 36.81 % for male owners. 3) “Functionality & Comfort” is the key satisfaction factor for both genders, then women prioritizing “After-sales and Brand” and men prioritizing “Performance Experience” as secondary concerns. This study proposes a new research framework and empirical case based on short-video data, offering valuable insights for potential consumers and automakers.

Keywords: New energy vehicle; TikTok; Nature language processing (NLP); Topic modeling; User satisfaction (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.tranpol.2025.03.012

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