The zero-inflated negative binomial regression model is used to study the influencing factors of casualties in water traffic accidents. The Pearson correlation analysis is used to obtain the influencing factors of casualties in water traffic accidents. The ZINB regression model is established to evaluate the influencing factors. According to the analysis results, influencing factors are sorted in the ascending order of factor influencing value. This method has been applied in casualties in water traffic, which is in the area under administration of Yangtze River MSA (Maritime Safety Administration). And the results can provide the reference for the maritime management to make effective strategy to reduce the casualties in water traffic accidents.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on the Yangtze River accident casualties using zero-inflated negative binomial regression technique


    Beteiligte:
    Hao, Wang (Autor:in) / Ya-dong, Yang (Autor:in) / Yong, Ma (Autor:in)


    Erscheinungsdatum :

    2016-08-01


    Format / Umfang :

    294656 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    A Zero-Inflated Negative Binomial Regression Model to Evaluate Ship Sinking Accident Mortalities

    Chai, Tian / Xiong, De-qi / Weng, Jinxian | Transportation Research Record | 2018



    Modeling of Parking Violations Using Zero-Inflated Negative Binomial Regression: A Case Study for Berlin

    Hagen, Tobias / Reinfeld, Nicole / Saki, Siavash | Transportation Research Record | 2023


    Modeling of Parking Violations Using Zero-Inflated Negative Binomial Regression – A Case Study for Berlin

    Hagen, Tobias / Reinfeld, Nicole / Saki, Siavash | FID move | 2023

    Freier Zugriff