A framework for quantitative analysis of the causation of grounding accidents in arctic shipping.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to for quantitative analysis of the causation of grounding accidents in Arctic shipping. Probabilities were given within the referenced paper (some information appeared incorrect). The vertices are:
Bad Weather (No,Yes);
Damage (No,Yes);
Dependent equipment (No,Yes);
Grounding (No,Yes);
Insufficient communication and collaboration (No,Yes);
Imperfect emergency (No,Yes);
Improper labeling of the chart (No,Yes);
Inefficient use of navigation equipment (No,Yes);
Improper operation (No,Yes);
Insufficient preparation for sailing (No,Yes);
Improper route planning (No,Yes);
Irregularities (No,Yes);
Insufficient supervision (No,Yes);
Inconsistent standardization and language (No,Yes);
Insufficient supervision system, rules and regulations (No,Yes);
Insufficient work plan (No,Yes);
Limited information dissemination channels (No,Yes);
Lack of navigation equipment (No,Yes);
Lack of safety management system (No,Yes);
Lack of training (No,Yes);
Misjudgment (No,Yes);
Outdated data (No,Yes);
Poor communication at high latitudes (No,Yes);
Poor external communication (No,Yes);
Psychological factors (No,Yes);
Poor traffic conditions (No,Yes);
Poor situational awareness (No,Yes);
Poor safety management (No,Yes);
Poor service quality (No,Yes);
Ship SMS conflict (No,Yes);
Unupdated chart data (No,Yes);
Unclear division of labour (No,Yes);
Unreasonable planning and arrangement (No,Yes);
Underestimate the risk (No,Yes);
Unsafe speed (No,Yes);
Wrong decision (No,Yes);
Fu, S., Yu, Y., Chen, J., Xi, Y., & Zhang, M. (2022). A framework for quantitative analysis of the causation of grounding accidents in arctic shipping. Reliability Engineering & System Safety, 226, 108706.