Influence of familiarity with traffic regulations on delivery riders’ e-bike crashes and helmet use: Two mediator ordered logit models

Micro-mobility vehicles such as electric bicycles, or e-bikes, are becoming one of the essential transportation modes in metropolitan areas, and most deliveries large cities dependent on them. Due to e-bike’s popularity vulnerability, e-bike crash occurrence has become a major traffic safety problem many across world; finding important human factors affecting thus been an recent issue analysis. Since delivery riders key group users, since helmet use plays crucial role reducing severity crash, this study conducted city-wide online survey analyze usage 6,941 Shanghai, China. To determine in-depth mechanisms influencing occurrence, including direct indirect effects relevant factors, two mediator ordered logistic regression models were employed. The model was compared with traditional model, found be superior for modeling well factors. Results indicate that riders’ familiarity regulations (FTR) is extremely variable mediating between independent variables educational level age, crashes. Improving FTR can consequently increase decrease occurrence. Authorities apply these findings develop appropriate countermeasures, particularly legislation rider training, improve safety.