Replication Data for: How do Familiarity and Fatal Accidents Affect Acceptance of Self-Driving Vehicles?
收藏NIAID Data Ecosystem2026-03-13 收录
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https://doi.org/10.7910/DVN/IZKSL7
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资源简介:
Expected benefits of disruptive technologies such as self-driving vehicles may only materialise if they are publicly accepted. Acceptance is known to increase when successful implementation is experienced as initial concerns prove unfounded and individuals gain familiarity with the new technology. Fatal accidents, however, negatively affect acceptance. This paper examines citizens’ acceptance of self-driving vehicles by contrasting acceptance pre- and post-implementation of a self-driving shuttle in Switzerland and before and after the first fatal accident involving a self-driving vehicle in Arizona (USA) in 2018. To gauge acceptance, a panel survey using a random sample of 1408 Swiss residents was used. The results indicate that news about the fatal accident abroad exerts a stronger effect on acceptance than experiencing a self-driving bus trial. Latent scepticism causes acceptance to decrease in the event of an accident but only lasts short term. However, acceptance levels are stable and at high levels, which also explains the comparably low familiarity effects. As public acceptance is necessary for technology transitions, this article provides practical insights for policymakers on how citizen form preferences towards traffic automation and related policy regulations. More specifically, results show how attitudes change over time while residents experience a trial and the first fatal accident with the technology at hand.
创建时间:
2021-10-27



