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

Takeshi Shinoda; Koji Uru

doi:10.5957/WMTC-2015-190

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

Takeshi Shinoda, Koji Uru

Marine Systems Design

Research output: Contribution to conference › Paper › peer-review

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 language	English
DOIs	https://doi.org/10.5957/WMTC-2015-190
Publication status	Published - 2015
Event	SNAME 5th World Maritime Technology Conference, WMTC 2015 - Providence, United States Duration: Nov 4 2015 → Nov 6 2015

Conference

Conference	SNAME 5th World Maritime Technology Conference, WMTC 2015
Country/Territory	United States
City	Providence
Period	11/4/15 → 11/6/15

All Science Journal Classification (ASJC) codes

Computer Science Applications
Ocean Engineering
Water Science and Technology

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10.5957/WMTC-2015-190

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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.",

author = "Takeshi Shinoda and Koji Uru",

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AU - Shinoda, Takeshi

AU - Uru, Koji

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N2 - 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.

AB - 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.

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T2 - SNAME 5th World Maritime Technology Conference, WMTC 2015

Y2 - 4 November 2015 through 6 November 2015

ER -

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

Abstract

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