Analyzing collision, grounding, and sinking accidents occurring in the Black Sea utilizing HFACS and Bayesian networks.
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
A discrete Bayesian network to analyze the marine accidents. The probabilities were given within the referenced paper. The vertices are:
(Appropriate, Inappropriate);
(Yes, No);
(Yes, No);
(Not Violated, Violated);
(Optimum Safe Manning, Minimum Safe Manning);
(Qualified Crew, Unqualified Crew);
(Yes, No);
(Adequate, Inadequate);
(Observed, Unobserved);
(Observed, Unobserved);
(Observed, Unobserved);
(Yes, No);
(Yes, No);
(Yes, No);
(Yes, No);
(Yes, No);
(Observed, Unobserved);
(Observed, Unobserved);
(Observed, Unobserved);
(Observed, Unobserved);
(Appropriate, Inappropriate);
(Appropriate, Inappropriate);
(Appropriate, Inappropriate);
(Appropriate, Inappropriate);
(Narrow Water, Port, Coastal Water, Open Sea, Anchorage);
(Yes, No);
(Clear, Unclear);
(Adequate, Inadequate);
(Safe, Unsafe);
(Completed, Uncompleted);
(Yes, No);
(Safe, Unsafe);
(Adequate, Inadequate);
(Appropriate, Inappropriate);
(Yes, No);
(Sufficient, Insufficient);
(Sufficient, Insufficient);
(Observed, Unobserved);
(Observed, Unobserved);
(Observed, Unobserved);
(Operational, Faulty);
(Yes, No);
(Old, New);
(Safe, Unsafe);
(Adequate, Inadequate);
(Safe, Unsafe);
(Unsafe, Safe);
(Poor, Good);
Ugurlu, O., Yildiz, S., Loughney, S., Wang, J., Kuntchulia, S., & Sharabidze, I. (2020). Analyzing collision, grounding, and sinking accidents occurring in the Black Sea utilizing HFACS and Bayesian networks. Risk analysis, 40(12), 2610-2638.