Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China-Reference-Cited by-同舟云学术

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Bayesian network modelling and analysis of accident severity in waterborne transportation: A case study in China

Published:2018-12 Issue: Volume:180 Page:277-289
ISSN:0951-8320
Container-title:Reliability Engineering & System Safety
language:en
Short-container-title:Reliability Engineering & System Safety

Author:

Wang Likun,Yang Zaili

Funder

Shanghai Pujiang Program

National Science Foundation of China

the EU H2020 MC RISE programme

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Reference55 articles.

1. Human fatigue's effect on the risk of maritime groundings – A Bayesian Network modeling approach;Akhtar;Saf Sci,2014

2. A hybrid decision-making approach to measure effectiveness of safety management system implementations on-board ships;Akyuz;Saf Sci,2014

3. A comparison of maritime risk perception and accident statistics in the Istanbul Straight;Aydogdu;J Navigation,2014

4. A hybrid accident analysis method to assess potential navigational contingencies: The case of ship grounding;Akyuz;Saf Sci,2015

5. Fault-tree models of accident scenarios of RoPax vessels;Antao;Int J Autom Comput,2006

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