Arctic shipping accident scenario analysis using Bayesian Network approach. (15th March 2017)

• Record Type: Journal Article
• Authors: Afenyo, Mawuli; Khan, Faisal; Veitch, Brian; Yang, Ming
• Is Part Of: Ocean engineering. Volume 133(2017)
• Page Start: 224
• Page End: 230
• Publication Date: 2017-03-15
• Subjects: Accident modeling -- Bayesian Networks -- Arctic shipping -- Ship collision -- Risk assessment; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2017.02.002
• Languages: English
• ISSNs: 0029-8018

Abstract

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. Highlights: A new methodology to model and analyze ship accidents in Arctic environment. Application of the methodology for specific scenarios. A new accident probability updating algorithm.