Comparing Risk Perception in Transport and Non-Transport Contexts

Engineering notes

Key topics: autonomous driving, perception. 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

This article examines whether risk perception is a general trait that spans across contexts or whether it is domain-specific, with a focus on the transportation environment. To this end, the study investigates the relationships between risk perception in car driving and risk perception in other transportation situations (primarily road crossing and motorcycle riding), as well as in non-transportation contexts (such as work, home, investments, nature, and COVID-19).In a series of seven studies based on attitude questionnaires toward risk situations in convenience samples, a consistently strong positive association was found between risk perception in driving and risk perception in other transportation contexts—particularly road crossing and motorcycle riding. Regression analyses indicated that risk perception in driving is the primary predictor of risk perception as a pedestrian or as a motorcyclist. In contrast, most studies did not find significant associations between transportation-related risk perception and risk perception in other domains, except for partial and limited associations observed in the first study.These findings suggest that within the road environment there exists a relatively general perception of risk that is shared across different types of road users, and imply that drivers are capable of understanding the risks to which pedestrians and motorcyclists are exposed. In contrast, risk perception in non-transport contexts appears to be context-dependent and distinct. The discussion proposes a possible explanation based on exemplar theory, according to which road-related risk experiences are stored as a shared pool in memory, whereas in other domains representations remain separate.In addition, the study has several limitations, including the use of small and non-representative samples, reliance on self-report measures, and a correlational design that does not allow for causal inference. Nevertheless, the findings contribute to the theoretical understanding of the structure of risk perception and highlight practical potential for developing educational interventions to improve road safety.

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