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 journalArticleScientificpeer-review

107 Citations (Scopus)


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 languageEnglish
Pages (from-to)224-230
Number of pages7
JournalOcean Engineering
Publication statusPublished - 1 Jan 2017
Externally publishedYes


  • Accident modeling
  • Arctic shipping
  • Bayesian Networks
  • Risk assessment
  • Ship collision


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