Arctic shipping accident scenario analysis using Bayesian Network approach

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Arctic shipping accident scenario analysis using Bayesian Network approach

Journal Article (2017)

Author(s)

Mawuli Afenyo (Memorial University of Newfoundland)

Faisal Khan (Memorial University of Newfoundland)

Brian Veitch (Memorial University of Newfoundland)

Ming Yang (Memorial University of Newfoundland)

Bayesian Networks Risk assessment Ship collision Accident modeling Arctic shipping

DOI related publication

https://doi.org/10.1016/j.oceaneng.2017.02.002 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:ebbecf01-a2c4-415f-afce-d4cc2a03501e

More Info

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Publication Year

2017

Language

English

Journal title

Ocean Engineering

Volume number

133

Pages (from-to)

224-230

Downloads counter

187

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.