A Zero-Inflated Negative Binomial Regression Model to Evaluate Ship Sinking Accident Mortalities
A Zero-Inflated Negative Binomial Regression Model to Evaluate Ship Sinking Accident Mortalities
- Neue Suche nach: Chai, Tian
- Neue Suche nach: Xiong, De-qi
- Neue Suche nach: Weng, Jinxian
- Neue Suche nach: Chai, Tian
- Neue Suche nach: Xiong, De-qi
- Neue Suche nach: Weng, Jinxian
Sinking accidents are a seafarer’s nightmare. Using 10 years’ of worldwide sinking accident data, this study aims to develop a mortality count model to evaluate the human life loss resulting from sinking accidents using zero-inflated negative binomial regression approaches. The model results show that the increase of the expected human life loss is the largest when a ship suffers a precedent accident of capsizing, followed by fire/explosion or collisions. Lower human life loss is associated with contact and machinery/hull damage accidents. Consistent with our expectation, cruise ships involved in sinking accidents usually suffer more human life loss than non-cruise ships and there is be a bigger mortality count for sinking accidents that occur far away from the coastal area/harbor/port. Fatalities can be less when the ship is moored or docked. The results of this study are beneficial for policy-makers in proposing efficient strategies to reduce sinking accident mortalities.
Dokumentinformationen
A Zero-Inflated Negative Binomial Regression Model to Evaluate Ship Sinking Accident Mortalities
Transportation Research Record
Transportation Research Record: Journal of the Transportation Research Board ; 2672 , 11 ; 65-72
2018-07-07
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch