A Mutual Information-Based Bayesian Network Model for Consequence Estimation of Navigational Accidents in the Yangtze River

Navigational accidents (collisions and groundings) account for approximately 85% of mari-time accidents, and consequence estimation for such accidents is essential for both emergency resource allocation when such accidents occur and for risk management in the framework of a formal safety assessment. As the traditional Bayesian network requires expert judgement to develop the graphical structure, this paper proposes a mutual information-based Bayesian network method to reduce the requirement for expert judgements. The central premise of the proposed Bayesian network method involves calculating mutual information to obtain the quantitative element among multiple influencing factors. Seven-hundred and ninety-seven historical navigational accident records from 2006 to 2013 were used to validate the methodology. It is anticipated the model will provide a practical and reasonable method for consequence estimation of navigational accidents.

[1]  Yang Wang,et al.  A flexible decision-support solution for intervention measures of grounded ships in the Yangtze River , 2017 .

[2]  Zhisen Yang,et al.  Realising advanced risk-based port state control inspection using data-driven Bayesian networks , 2018 .

[3]  Stan Kaplan,et al.  The Words of Risk Analysis , 1997 .

[4]  Jin Wang,et al.  Incorporation of formal safety assessment and Bayesian network in navigational risk estimation of the Yangtze River , 2013, Reliab. Eng. Syst. Saf..

[5]  Terje Aven,et al.  On how to define, understand and describe risk , 2010, Reliab. Eng. Syst. Saf..

[6]  Xulei Wang,et al.  Analysis of Factors that Influence Hazardous Material Transportation Accidents Based on Bayesian Networks: A Case Study in China , 2012 .

[7]  Claude E. Shannon,et al.  The mathematical theory of communication , 1950 .

[8]  Maria Hänninen,et al.  Influences of variables on ship collision probability in a Bayesian belief network model , 2012, Reliab. Eng. Syst. Saf..

[9]  Ingrid Bouwer Utne,et al.  Human Fatigue’s Effect on the Risk of Maritime Groundings - A Bayesian Network Modeling Approach , 2014 .

[10]  Xinping Yan,et al.  Use of fuzzy rule-based evidential reasoning approach in the navigational risk assessment of inland waterway transportation systems , 2016 .

[11]  Fuhui Long,et al.  Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Andrzej Jasionowski,et al.  Decision support for ship flooding crisis management , 2011 .

[13]  Jakub Montewka,et al.  Towards the assessment of potential impact of unmanned vessels on maritime transportation safety , 2017, Reliab. Eng. Syst. Saf..

[14]  Carlos Guedes Soares,et al.  Advanced Ship Design for Pollution Prevention , 2010 .

[15]  C. Guedes Soares,et al.  Incorporating evidential reasoning and TOPSIS into group decision-making under uncertainty for handling ship without command , 2018, Ocean Engineering.

[16]  Qiang Meng,et al.  Analysis of driver casualty risk for different work zone types. , 2011, Accident; analysis and prevention.

[17]  Santiago Iglesias Baniela,et al.  Maritime Safety Standards and the Seriousness of Shipping Accidents , 2011, Journal of Navigation.

[18]  Jean-François Balmat,et al.  A decision-making system to maritime risk assessment , 2011 .

[19]  Shawn D. Pethel,et al.  Exact Test of Independence Using Mutual Information , 2014, Entropy.

[20]  Jin Wang,et al.  A novel flexible model for piracy and robbery assessment of merchant ship operations , 2016, Reliab. Eng. Syst. Saf..

[21]  P. Kujala,et al.  A probabilistic model estimating oil spill clean-up costs--a case study for the Gulf of Finland. , 2013, Marine pollution bulletin.

[22]  C. Guedes Soares,et al.  Fuzzy logic based approach for ship-bridge collision alert system , 2019, Ocean Engineering.

[23]  Jiangping Wang.  The current status and future aspects in formal ship safety assessment , 2001 .

[24]  Hualou Long,et al.  The management in response to marine oil spill from ships in China: A systematic review. , 2015, Marine pollution bulletin.

[25]  Sercan Erol,et al.  Analysis of Ship Accidents in the Istanbul Strait Using Neuro-Fuzzy and Genetically Optimised Fuzzy Classifiers , 2017 .

[26]  J Gouveia,et al.  Oil spill incidents in Portuguese waters , 2010 .

[27]  Thong Ngee Goh,et al.  A study of mutual information based feature selection for case based reasoning in software cost estimation , 2009, Expert Syst. Appl..

[28]  Jakub Montewka,et al.  Modeling the risk of ship grounding—a literature review from a risk management perspective , 2014 .

[29]  Jakub Montewka,et al.  A framework for risk assessment for maritime transportation systems - A case study for open sea collisions involving RoPax vessels , 2014, Reliab. Eng. Syst. Saf..

[30]  E. Zio,et al.  A resilience perspective on water transport systems: The case of Eastern Star , 2019, International Journal of Disaster Risk Reduction.

[31]  Xinping Yan,et al.  Maritime Transportation Risk Assessment of Tianjin Port with Bayesian Belief Networks , 2016, Risk analysis : an official publication of the Society for Risk Analysis.

[32]  Paolo Trucco,et al.  A Bayesian Belief Network modelling of organisational factors in risk analysis: A case study in maritime transportation , 2008, Reliab. Eng. Syst. Saf..

[33]  Xinping Yan,et al.  Safety Management Performance Assessment for Maritime Safety Administration (MSA) by Using Generalized Belief Rule Base Methodology , 2014 .

[34]  Xinping Yan,et al.  An Evidential Reasoning‐Based CREAM to Human Reliability Analysis in Maritime Accident Process , 2017, Risk analysis : an official publication of the Society for Risk Analysis.

[35]  Ann E. Nicholson,et al.  Using Mutual Information to Determine Relevance in Bayesian Networks , 1998, PRICAI.

[36]  Tsz Leung Yip,et al.  The effectiveness of double hulls in reducing vessel-accident oil spillage. , 2011, Marine pollution bulletin.

[37]  Jakub Montewka,et al.  A framework for risk analysis of maritime transportation systems: A case study for oil spill from tankers in a ship–ship collision , 2015 .

[38]  Bing Chen,et al.  Offshore oil spill response practices and emerging challenges. , 2016, Marine pollution bulletin.