Highlights This paper investigated fatigue-related crashes among motorcycle taxi drivers Approx. 16% of motorcycle taxi drivers reported fatigue-related crash involvement Logistic regression with heterogeneity-in-means random parameters was adopted Delivery trips and overweight conditions increased the risk of fatigue-related crashes Hybrid taxi drivers and most ride-hailing drivers had a lower risk of fatigue-related crashes

    Abstract Since motorcycle taxi drivers often work long hours, fatigue would affect their riding abilities, impacting crash risks. However, there is limited understanding about motorcycle taxi drivers’ fatigue-related crashes. This study investigates self-reported fatigue-related crashes among motorcycle taxi drivers in Hanoi, Vietnam. Results from a survey showed that approximately 16% of the motorcycle taxi drivers reported fatigue-related crash involvement. It was also found that nearly 37% of all crashes reported by motorcycle taxi drivers were related to fatigue while riding a motorcycle taxi. Results of the heterogeneity-in-means random parameter logistic model suggested that working fulltime, more delivery trips, and overweight conditions were associated with increased likelihoods of fatigue-related crash involvement. Hybrid taxi drivers, who operate as either traditional or ride-hailing taxi drivers at different times, and most ride-hailing taxi drivers had a reduced likelihood of fatigue-related crash involvement when compared to traditional taxi drivers. Overall, this study has revealed a significant issue of fatigue-related crashes among motorcycle taxi drivers. Immediate interventions via publicity or educational campaigns should be considered by authorities to address this important issue. Ride-hailing companies should contribute by sending warnings of excessive riding hours to ride-hailing taxi drivers.


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    Title :

    A random parameter logistic model of fatigue-related motorcycle crash involvement in Hanoi, Vietnam


    Contributors:


    Publication date :

    2020-05-31




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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