The severity of crashes on national/provincial roads, urban roads, and rural roads was analyzed. Random parameters logit models with heterogeneity in means and variances under different time periods of the day and roadway classifications were employed. Analysis of factors influencing injury severity of single-vehicle crashes in the driver, vehicle, road, and environment to explore correlation and difference between influencing factors and crash severity. The results showed that the effect of factors that determine injury severity varied significantly across different roadway classifications. Specifically, driver age (<30) and summer were only significantly associated with single-vehicle crashes on urban roads. Dawn/dusk was only significant in single-vehicle crashes on rural roads. Meanwhile, overall spatiotemporal instability was observed in the study. While several indicators were also reported to show relative spatial or temporal stability such as male, driver age (>55), motorcycle, traffic control, and visibility (<100 m).


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    Titel :

    Spatiotemporal instability analysis in single-vehicle crash severity on different roadway classifications


    Weitere Titelangaben:

    F. WEI ET AL.
    TRANSPORTATION LETTERS


    Beteiligte:
    Wei, Fulu (Autor:in) / Wang, Yaping (Autor:in) / Guo, Yongqing (Autor:in) / Guo, Yanyong (Autor:in)

    Erschienen in:

    Transportation Letters ; 17 , 4 ; 639-652


    Erscheinungsdatum :

    21.04.2025


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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