Arctic shipping accident scenario analysis using Bayesian Network approach

Journal article (2017)

Authors

Mawuli Afenyo Memorial University of Newfoundland

Faisal Khan Memorial University of Newfoundland

Brian Veitch Memorial University of Newfoundland

M. Yang Memorial University of Newfoundland

Affiliation

External organisation

Bayesian Networks Risk assessment Ship collision Accident modeling Arctic shipping

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Published Date

01-01-2017

Language

English

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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.