Citation

Fu S, Liu Y, Xi Y, Zhang M, Hu S. China Saf. Sci. J. 2019; 29(10): 84-90.

Copyright

(Copyright © 2019, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2019.10.013

PMID

unavailable

Abstract

In order to analyze influencing factors of ship accidents in Arctic waters, 311 ship accident data in Arctic waters from 1998 to 2017 were collected, cleaned and converted from maritime accident database from Lloyd's List Intelligence and Transportation Safety Board of Canada. Then a bivariate probit model was constructed and marginal effect analysis was conducted to identify and study influencing factors and associated impact levels of ship accidents (serious accidents and pollution accidents) in Arctic ice-covered waters. The results show that bivariate probit model can not only identify influencing factors of serious accident and pollution accident, but also sort out potential relationship between them which is a negative correlation. It is also found that gross tonnage, ship type, ship age, accident type, accident year, accident location, wind, and sea ice are notable factors that influence severity of ship accidents in Arctic waters. © 2019 China Safety Science Journal. All rights reserved.

Language: zh