@article{ref1,
title="A zero-inflated negative binomial regression model to evaluate ship sinking accident mortalities",
journal="Transportation research record",
year="2018",
author="Chai, Tian and Xiong, De-qi and Weng, Jinxian",
volume="2672",
number="11",
pages="65-72",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.1177/0361198118787388",
url="http://dx.doi.org/10.1177/0361198118787388"
}