Autonomous driving paper index
Influence of psychological ownership and media ecosystem for predicting heterogenous shared autonomous vehicle adoption: an extended UTAUT2 model
One-line summary
The transformative potential of Shared Autonomous Vehicles (SAVs) for urban mobility is challenged by user scepticism and disparate acceptance across demographics.
Engineering notes
Key topics: autonomous driving, autonomous vehicle. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
The transformative potential of Shared Autonomous Vehicles (SAVs) for urban mobility is challenged by user scepticism and disparate acceptance across demographics. Although the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) has been widely applied, significant gaps persist including: the underexplored influence of external factors, specifically mass media, social media, and psychological ownership and a limited understanding of how sociodemographic and travel/driving behaviour (STDB) variables affect the heterogeneity by moderating core acceptance pathways. To address these gaps, this study develops an extended UTAUT2 model incorporating these constructs alongside personal innovativeness, attitude toward sharing, and environmental concern. Based on a survey of 723 respondents in Tehran, Iran, the relationships between the proposed theoretical constructs and SAV acceptance are examined using structural equation modelling, complemented by multi-group analysis (MGA). Results confirm the significant direct effects of both core UTAUT2 factors and the extended integrated variables, with the exception of environmental concern, on behavioural intention. Crucially, the MGA reveals that these relationships are distinctly moderated by STDB characteristics such as gender, age, education, car ownership, prior driving and accident experience, and car-sharing usage experience. These findings provide a more holistic and segmented understanding of SAV acceptance, offering refined theoretical insights and practical implications for policymakers and service providers to tailor strategies that address diverse user concerns and accelerate the integration of SAVs into sustainable urban transport systems.
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