Arctic shipping accident scenario analysis using Bayesian Network approach

Mawuli Afenyo; Faisal Khan; Brian Veitch; Ming Yang

doi:10.1016/j.oceaneng.2017.02.002

Arctic shipping accident scenario analysis using Bayesian Network approach

Mawuli Afenyo, Faisal Khan^*, Brian Veitch, Ming Yang

^*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

107 Citations (Scopus)

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.

Original language	English
Pages (from-to)	224-230
Number of pages	7
Journal	Ocean Engineering
Volume	133
DOIs	https://doi.org/10.1016/j.oceaneng.2017.02.002
Publication status	Published - 1 Jan 2017
Externally published	Yes

Keywords

Accident modeling
Arctic shipping
Bayesian Networks
Risk assessment
Ship collision

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10.1016/j.oceaneng.2017.02.002

Cite this

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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.",

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AB - 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.

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KW - Risk assessment

KW - Ship collision

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Arctic shipping accident scenario analysis using Bayesian Network approach

Abstract

Keywords

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