In order to investigate risk factors involved in motorcycle crashes on the sparse road network of western China, a case study of a county in Xinjiang Uygur Autonomous Region is taken. Altogether 577 crash data in the county for 2009-2011 were used in a statistical analysis based on Multinomial Logistic Model by using SPSS17.0 software. The results show that risk factors for fatality/severe injury significantly increase when the following circumstances apply: crashing on town roads, crashing with other vehicles, use of alcohol, no driving license, no registration mark, etc. To reduce the number of fatal crashes, the dangers of operating a motorcycle while intoxicated and at excessive speed must be fully stressed to the public and both require increased enforcement. Furthermore, the judicial authorities should publish more traffic safety books in minority languages. The enactment of a universal helmet law is particularly recommended, and administrations should also strengthen their management of motorcycles in rural areas.


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    Title :

    Identification of Risk Factors Associated with Motorcycle-Related Accidents Based on the Multinomial Logistic Model: A Case Study of a County in Xinjiang


    Contributors:
    Ma, Yu-chun (author) / Wang, Bing (author) / Zhang, Sheng-rui (author)

    Conference:

    15th COTA International Conference of Transportation Professionals ; 2015 ; Beijing, China


    Published in:

    CICTP 2015 ; 2993-3005


    Publication date :

    2015-07-13




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English