A comparative analysis of factors affecting injury severity in speeding-related crashes on rural and urban roads

Le résumé fourni par la source

Speeding related-crashes have caused numerous fatalities and become a worldwide health problem. This study aims at investigating the factors affecting injury severity in speeding-related crashes, considering the spatial heterogeneity on rural and urban roads. The data on speeding-related crashes were extracted from the Crash Report Sampling System (CRSS) between 2018 to 2020, including information about the characteristics of drivers, vehicles, crashes, roads, and the environment. Two separate correlated random parameter order probit models with heterogeneity in means (CRPOPHM) were established for speeding-related crashes on rural and urban roads, and the plausibility of separately modelling injury severity was tested by a set of LR tests. The model results showed that some factors were significant in both models, while others were significant in only one particular model. For example, heavy trucks and weekends are significant in the rural model; and young drivers, rear-end crashes, speed limits, and nights with lit roads are significant in the urban model. The results of correlations and heterogeneity in means of random parameters of the two models also showed some similarities and differences for speeding-related crashes on rural and urban roads. Based on these results, some policy recommendations are proposed to mitigate the injury severity of speeding-related crashes.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.