An analysis of factors affecting the severity of marine accidents

This study aims to explore the relationship between the severity of marine accidents and influencing factors. An ordered logistic regression model is used to reflect the relationship between these factors and the severity of marine accidents using the worldwide accident investigation reports in the period of 2010–2019. The obtained results show that the marine accident severity is positively associated with sinking accidents, far away from port, strong wind, heavy sea, strong current and/or good visibility. With respect to ship types, fishing vessels, yachts and sailing vessels, and other ship types are the ship types most involved in accidents of higher severity. The severity level is higher for ships having incomplete or invalid seafarers’ certificates, inadequate ship manning, incomplete or invalid ship certificates and/or over 30 years of age. Seafarers with poor theoretical knowledge and less sea experience are more likely to be involved in accidents of serious consequences. Small water depth and ship types such as chemical tankers, oil tankers, container ships and/or bulk carriers are negatively related to the accident severity. The results of this study can be used to assist the relevant maritime authorities in taking effective measures of preventing the occurrence of serious marine accidents.

• Record URL:
  https://doi.org/10.1016/j.ress.2021.107513
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0951832021000752
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09518320
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wang, Huanxin
  • Liu, Zhengjiang
  • Wang, Xinjian
  • Graham, Tony
  • Wang, Jin
• Publication Date: 2021-6

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: 107513
• Serial:
  • Reliability Engineering & System Safety
  • Volume: 210
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0951-8320
  • Serial URL: https://www.sciencedirect.com/journal/reliability-engineering-and-system-safety

Subject/Index Terms

• TRT Terms: Crash causes; Crash reports; Crash severity; Literature reviews; Logistic regression analysis; Water transportation crashes
• Subject Areas: Marine Transportation; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01845801
• Record Type: Publication
• Files: TRIS
• Created Date: May 19 2022 10:41AM