摘要
Automated vehicles(AVs)hold great promise for creating a safer,more efficient,more equitable,and more sustainable transportation system.However,the rapid adoption of AVs requires a thorough understanding in their coexistence with the human environment in the current roadway network,particularly with respect to interactions between AVs and non-motorists.Bike Pittsburgh(BikePGH)conducted a 2019 survey to examine nonmotorists’perceptions of AV safety.Using Bayesian network(BN)analysis,the study identified key factors such as safety perception,AV technology knowledge,and real-world interaction experiences that influence non-motorists’overall perception of AV safety using BikePGH survey data.The study also explored several counterfactual scenarios to gain insights into non-motorists’viewpoints on AV safety.Notably,the study found that the differences in the ways of AVs and human-driven vehicles interacted with non-motorists at intersections played a crucial role in shaping survey participants’opinions.By taking into account the key insights identified in this study,policymakers can develop evidence-based strategies to achieve sustainable urban mobility goals while ensuring the safety and wellbeing of all road users,particularly non-motorists.