Evaluation of Shipping Accident Casualties using Zero-inflated Negative Binomial Regression Technique
作者： Jinxian Weng , Ying En Ge , Hao Han
DOI: 10.1017/S0373463315000788
关键词:
摘要: This study develops a Zero-Inflated Negative Binomial (ZINB) regression model to evaluate the factors influencing loss of human life in shipping accidents using ten years' ship accident data South China Sea. The ZINB results show that expected is higher for collision, fire/explosion, contact, grounding, hull damage, machinery damage/failure and capsizing occurring adverse weather conditions during night periods. Sinking can cause highest compared all other types. There are fewer fatalities missing people when involved an moored or docked. also reveal associated with far away from coastal area/harbour/ports. this beneficial policy-makers proposing efficient strategies reduce casualties
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