| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5474335 | Ocean Engineering | 2017 | 7 Pages |
Abstract
This paper presents a methodology for the analysis of Arctic shipping accident scenarios using Bayesian Networks (BN). The proposed methodology is applied to a scenario involving a collision between a vessel and an iceberg. The study aims to identify the most significant causative factors to the potential accident scenarios. It is achieved by undertaking a sensitivity analysis study. The results inform the development of measures to avoid and control accidents during Arctic shipping.
Related Topics
Physical Sciences and Engineering
Engineering
Ocean Engineering
Authors
Mawuli Afenyo, Faisal Khan, Brian Veitch, Ming Yang,