Shipping movements are operated in a complex and high-risk environment. Fatal shipping accidents are the nightmares of seafarers. With ten years' worldwide ship accident data, this study develops a binary logistic regression model and a zero-truncated binomial regression model to predict the probability of fatal shipping accidents and corresponding mortalities. The model results show that both the probability of fatal accidents and mortalities are greater for collision, fire/explosion, contact, grounding, sinking accidents occurred in adverse weather conditions and darkness conditions. Sinking has the largest effects on the increment of fatal accident probability and mortalities. The results also show that the bigger number of mortalities is associated with shipping accidents occurred far away from the coastal area/harbor/port. In addition, cruise ships are found to have more mortalities than non-cruise ships. The results of this study are beneficial for policy-makers in proposing efficient strategies to prevent fatal shipping accidents.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Investigation of shipping accident injury severity and mortality


    Beteiligte:


    Erscheinungsdatum :

    2015




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    44.80 / 44.80 Unfallmedizin, Notfallmedizin / 55.84 / 55.24 / 55.84 Straßenverkehr / 55.24 Fahrzeugführung, Fahrtechnik



    Investigation of shipping accident injury severity and mortality

    Weng, Jinxian / Yang, Dong | Elsevier | 2015


    Reliability of Statistical Road Accident Injury Severity Models

    Saccomanno, F. / Nassar, S. / Shortreed, J. | Transportation Research Record | 1996



    Reliability of Statistical Road Accident Injury Severity Models

    Saccomanno, F. F. / Nassar, S. A. / Shortreed, J. H. | Transportation Research Record | 2019


    Reliability of Statistical Road Accident Injury Severity Models

    Saccomanno, F. F. / Nassar, S. A. / Shortreed, J. H. et al. | British Library Conference Proceedings | 1996