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Dataset Information

Evaluation of hazard perception skills among electric scooter riders in urban environments.


ABSTRACT: The rapid proliferation of electric scooters (e-scooters) has transformed urban mobility worldwide. Despite becoming a prominent mode of urban transport, their rising use has been accompanied by increased crash involvement. Hazard perception, the ability to detect, evaluate, and anticipate impending traffic events, is a critical determinant of road safety but remains underexplored among e-scooter riders. This study examined hazard perception in novice, intermediate, and experienced riders using a video-based hazard detection task requiring button responses and verbal descriptions. Generalised linear mixed models analyses revealed that experienced riders were more sensitive to unmaterialised hazards than novices and intermediates, while no group differences emerged for materialised hazards.

SUBMITTER: Meir A 

PROVIDER: S-EPMC12630589 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature