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Mining public perceptions of shared autonomous vehicles in China: Interpreting the temporal evolution of sentiment through urban heterogeneity

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  • Xie, Andy Angxi
  • Hou, Yuting

Abstract

The rapid deployment of shared autonomous vehicles (SAVs) in China raises pressing questions about public acceptance, yet systematic evidence on evolving public perceptions remains limited. Existing studies often focus on attitudinal surveys or single-platform analyses, overlooking the spatiotemporal heterogeneity of sentiment dynamics and their structural drivers. This study addresses these gaps by analyzing over 56,000 social media data from Sina Weibo, Xiaohongshu, and Douyin between 2022 and 2025.

Suggested Citation

  • Xie, Andy Angxi & Hou, Yuting, 2026. "Mining public perceptions of shared autonomous vehicles in China: Interpreting the temporal evolution of sentiment through urban heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 203(C).
    • Handle: RePEc:eee:transa:v:203:y:2026:i:c:s0965856425003799
    DOI: 10.1016/j.tra.2025.104746
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    References listed on IDEAS

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