Arctic shipping accident scenario analysis using Bayesian Network approach

Mawuli Afenyo, Faisal Khan, Brian Veitch, Ming Yang

Research output: Contribution to journalArticleScientificpeer-review

45 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 languageEnglish
Pages (from-to)224-230
Number of pages7
JournalOcean Engineering
Volume133
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes

Keywords

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

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