Highlights We develop models which predict driver's injury severity considering variances in unobserved effects of variables among different crashes and drivers. There exists a significant variance in unobserved effects of head-on collisions among different two-vehicle crashes. We identify important differences in the effects of the same variables on driver's injury severity among single-vehicle crashes and different types of two-vehicle crashes. Collisions with larger and heavier vehicles increased the probabilities of all levels of injury for drivers in smaller and lighter vehicles involved in two-vehicle crashes.

    Abstract This study analyzes driver's injury severity in single- and two-vehicle crashes and compares the effects of explanatory variables among various types of crashes. The study identified factors affecting injury severity and their effects on severity levels using 5-year crash records for provincial highways in Ontario, Canada. Considering heteroscedasticity in the effects of explanatory variables on injury severity, the heteroscedastic ordered logit (HOL) models were developed for single- and two-vehicle crashes separately. The results of the models show that there exists heteroscedasticity for young drivers (≤30), safety equipment and ejection in the single-vehicle crash model, and female drivers, safety equipment and head-on collision in the two-vehicle crash models. The results also show that young car drivers have opposite effects between single-car and car–car crashes, and sideswipe crashes have opposite effects between car–car and truck–truck crashes. The study demonstrates that separate HOL models for single-vehicle and different types of two-vehicle crashes can identify differential effects of factors on driver's injury severity.


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    Titel :

    Analysis of injury severity of drivers involved in single- and two-vehicle crashes on highways in Ontario


    Beteiligte:
    Lee, Chris (Autor:in) / Li, Xuancheng (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2014-06-06


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch