Establishment of risk assessment model for ship collision using applied Bayesian network - Collision accidents between fishing vessels and cargo vessels

Takeshi Shinoda, Koji Uru

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this study, a risk assessment model for ship collisions is proposed according to the guidelines for Formal Safety Assessment (FSA) approved by IMO in 2002. The analysis is applied to ship collisions between fishing and cargo vessels owing to their high frequency and enormous damage. Bayesian network theory for risk analysis has been applied to reveal a causal relationship on human factors. A trial evaluation of Risk Control Options (RCOs) for collisions is attempted through the calculation of the dominance index. Finally, a trial cost benefit analysis for RCOs is considered through Gross Cost of Averting Fatality (GCAF) in FSA.

Original languageEnglish
Title of host publicationSNAME Transactions
PublisherSociety of Naval Architects and Marine Engineers
Pages207-217
Number of pages11
Volume123
ISBN (Electronic)9780939773176
Publication statusPublished - Jan 1 2016
Event2015 SNAME Maritime Convention, SMC 2015 - Providence, United States
Duration: Nov 2 2015Nov 7 2015

Other

Other2015 SNAME Maritime Convention, SMC 2015
CountryUnited States
CityProvidence
Period11/2/1511/7/15

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All Science Journal Classification (ASJC) codes

  • Ocean Engineering

Cite this

Shinoda, T., & Uru, K. (2016). Establishment of risk assessment model for ship collision using applied Bayesian network - Collision accidents between fishing vessels and cargo vessels. In SNAME Transactions (Vol. 123, pp. 207-217). Society of Naval Architects and Marine Engineers.