Arctic shipping accident scenario analysis using Bayesian Network approach

Mawuli Afenyo, Faisal Khan, Brian Veitch, Ming Yang

Research output: Contribution to journalArticle

24 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 - Mar 15 2017
Externally publishedYes

Fingerprint

Bayesian networks
Freight transportation
Accidents
Sensitivity analysis

Keywords

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

ASJC Scopus subject areas

  • Environmental Engineering
  • Ocean Engineering

Cite this

Arctic shipping accident scenario analysis using Bayesian Network approach. / Afenyo, Mawuli; Khan, Faisal; Veitch, Brian; Yang, Ming.

In: Ocean Engineering, Vol. 133, 15.03.2017, p. 224-230.

Research output: Contribution to journalArticle

Afenyo, Mawuli ; Khan, Faisal ; Veitch, Brian ; Yang, Ming. / Arctic shipping accident scenario analysis using Bayesian Network approach. In: Ocean Engineering. 2017 ; Vol. 133. pp. 224-230.
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