Abstract
As more cargo being carried by container vessels due the influence of international trade, containerships have recorded a constant growth from1980s onwards both in number and size which came with the increasing number of accidents hence the importance of conducting study on response measures. This paper presents the results of comprehensive analysis of recorded containerships accidents that occurred between 2011 and 2019 from official way by using statistical methods such as frequency distribution, cross tabulation and Chi-square (χ2). This paper established several findings as following: most containership accidents are due to human errors; there is a significant statistical relationship between type of containership accident and causative reason, sea area (zone), ship’s status and ship’s age; there is no statistical relationship between type of accident and size of a containership.
Keywords
References
- Chauvin, C., et al., Human and organizational factors in maritime accidents: Analysis of collisions at sea using the HFACS. 2013, Vol. 59: p. 26-37.Google Scholar ↗
- Hänninen, M. and P.J.E.s.w.a. Kujala, Bayesian network modelling of Port State Control inspection findings and ship accident involvement. 2014, 41(4): p. 1632-1646.Google Scholar ↗
- Akten, N.J.J.o.t.B.s.M.e., Shipping accidents: a serious threat for marine environment. 2006, Vol. 12(3): p. 269-304.Google Scholar ↗
- Gasparotti, C.J.E.E. and M. Journal, Risk assessment of marine oil spills. 2010, Vol. 9 p.4.Google Scholar ↗
- Mazaheri, A., et al., Usability of accident and incident reports for evidence-based risk modelling–A case study on ships grounding reports. 2015, 76: p. 202-214.Google Scholar ↗