Highlights ► In this study, we examined factors affecting the severity of motorcycle crashes on local roads. ► We found crash severity to increase in urban neighborhoods with loops and lollipops streets. ► It increased in right-angle, left-turn-across-path, truck, alcohol use or speeding crashes. ► It decrease in parking lots or winter, or involved a van, male rider or rider following too closely. ► The results were robust respect to different modeling methodologies.

    Abstract Motorcycle riders would be more vulnerable in the event of a crash because of their lack of protection which would often result in them suffering more severe injuries than car drivers. This paper estimated three crash severity models to identify factors that contributed to increasing the severity of motorcycle involved crashes in the Canadian City of Calgary. We found that results from the ordered logit model, heterogeneous choice model and partially constrained generalized ordered logit model produced estimates that were very similar which attested to their robustness. Injury severity tended to increase in neighborhoods with loops and lollipops types of streets or involved right-angle and left-turn-across-path crashes, a truck, unsafe speed or alcohol use but tended to decrease if the crash occurred in parking lots or during winter, involved a van or male rider, or a rider following-too-closely to the vehicle in front.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Severity of motorcycle crashes in Calgary


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2011-02-23


    Format / Umfang :

    6 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Severity of motorcycle crashes in Calgary

    Rifaat, Shakil Mohammad | Online Contents | 2012


    Forecasting Severity of Motorcycle Crashes Using Transfer Learning

    Pradhan, Biswajeet / Ibrahim Sameen, Maher | Springer Verlag | 2019


    Severity prediction of motorcycle crashes with machine learning methods

    Wahab, Lukuman / Jiang, Haobin | Taylor & Francis Verlag | 2020


    Analysis of Factors Affecting Injury Severity in Motorcycle Involved Crashes

    Sun, Shaofeng / Zhou, Bei / Zhang, Shengrui | TIBKAT | 2020


    Analysis of Factors Affecting Injury Severity in Motorcycle Involved Crashes

    Sun, Shaofeng / Zhou, Bei / Zhang, Shengrui | ASCE | 2020