Highlights Injury severity of large truck rollover crashes were studied in the state of Florida. Heterogeneity was explored using a random parameter ordered logit model. Lighting conditions and medium driving speed (25–50 mph) showed significant variations in their impacts on injury severity. Careless driving and abnormal driver condition increased the likelihood of more severe outcomes when driving speed is 25–50 mph. Speeding and vision obstruction led to more severe outcomes in insufficient lighting conditions.

    Abstract Large truck rollover crashes present significant financial, industrial, and social impacts. This paper presents an effort to investigate the contributing factors to large truck rollover crashes. Specific focus was placed on exploring the role of heterogeneity and the potential sources of heterogeneity regarding their impacts on injury-severity outcomes. The data used in this study contained large truck rollover crashes that occurred between 2007 and 2016 in the state of Florida. A random parameter ordered logit (RPOL) model was applied. Various driver, vehicle, roadway, and crash attributes were explored as potential predictors in the model. Their impacts were examined for the presence of heterogeneity. Interaction effects were then added to the random variables in order to detect potential sources of heterogeneity. Model results showed that the impacts of lighting conditions and driving speed had significant variation across observations, and this variation could be attributed to driver actions and driver conditions at the time of the crash, as well as driver vision obstruction. Findings from this study shed light on the direction, magnitude, and randomness of the factors that contribute to large truck rollover crashes. Findings associated with heterogeneity could help develop more effective and targeted countermeasures to improve freight safety. Driver education programs could be planned more efficiently, and advisory and warning signs could be designed in a more insightful manner by taking into account specific roadway attributes, such as sandy surfaces, downhill, curved alignment, unpaved shoulders, and lighting conditions.


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    Title :

    Severity analysis for large truck rollover crashes using a random parameter ordered logit model


    Contributors:


    Publication date :

    2019-11-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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