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Beyond Acceptance Models: The Role of Social Perceptions in Autonomous Public Transportation Acceptance

  • Nina Hieber,
  • Diana Fischer-Pressler,
  • Monika Pröbster,
  • Janika Kutz,
  • Nicola Marsden

摘要

The future of public transportation is on the verge of a transformative leap due to advances in automation and artificial intelligence. However, for (semi-)autonomous electric buses (AEBs) to reach their full potential in public transport, widespread public adoption is crucial. While acceptance models like UTAUT and TAM emphasize rational factors, our study uncovers the overlooked societal perceptions shaping AEB acceptance. Leveraging the Stereotype Content Model (SCM), we reveal nuanced attitudes towards AEB users and non-users. Our findings suggest that societal perceptions, often driven by automatic processes, significantly influence acceptance beyond rational considerations. Bridging this gap between technological innovation and social acceptability is pivotal for fostering inclusive, sustainable urban transport infrastructures.