Use of HFACS and fault tree model for collision risk factors analysis of icebreaker assistance in ice-covered waters

Abstract With the global warming and a large amount of sea ice melting, the available Arctic Sea Route has greatly enhanced the value of Arctic shipping. Ship operations under icebreaker assistance have become an essential way to facilitate the safe navigation of merchant vessels sailing through the Arctic Sea Route in ice-covered waters, but they can also put the crew and the ship in danger caused by a possible collision between the assisted ship and the icebreaker. In this paper, a dedicated Human and Organizational Factors (HoFs) model of ship collision accidents between an assisted ship and an icebreaker is developed and analyzed with the aim to identify and classify collision risk factors. First, a modified model of the Human Factors Analysis and Classification System (HFACS) for collision accidents between a ship and an icebreaker in ice-covered waters is proposed, which helps to analyze ship collision reports. Then, a Fault Tree Analysis (FTA) model is utilized to analyze the fundamental collision risk factors according to the statistical analysis of accident reports and expert judgments based on the HFACS-SIBCI model. Finally, qualitative analysis is carried out to analyze collision risk factors under icebreaker assistance, where Risk Control Options (RCOs) are formulated. An important guidance for the risk control of ship collisions during icebreaker assistance in ice-covered waters is provided for lawmakers and shipping companies.

[1]  Li Suyi,et al.  Ship collision risk assessment for the Singapore Strait. , 2011, Accident; analysis and prevention.

[3]  Zhang Mingyang,et al.  Safety distance modeling for ship escort operations in Arctic ice-covered waters , 2017 .

[4]  Brian Veitch,et al.  An operational risk analysis tool to analyze marine transportation in Arctic waters , 2018, Reliab. Eng. Syst. Saf..

[5]  Liqiong Chen,et al.  Fuzzy fault tree analysis for fire and explosion of crude oil tanks , 2013 .

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

[7]  Brian Veitch,et al.  Arctic shipping accident scenario analysis using Bayesian Network approach , 2017 .

[8]  Enrico Zio,et al.  Towards a probabilistic model for predicting ship besetting in ice in Arctic waters , 2016, Reliab. Eng. Syst. Saf..

[9]  Wei Zheng,et al.  A hybrid human and organizational analysis method for railway accidents based on HFACS-Railway Accidents (HFACS-RAs) , 2017 .

[10]  Zaili Yang,et al.  A Human and Organisational Factors (HOFS) Analysis Method for Marine Casualties Using HFACS-Maritime Accidents (HFACS-MA) , 2013 .

[11]  Marvin Rausand,et al.  Risk Assessment Process , 2013 .

[12]  C. H. Lie,et al.  Fault Tree Analysis, Methods, and Applications ߝ A Review , 1985, IEEE Transactions on Reliability.

[13]  Bekir Sahin,et al.  A Root Cause Analysis for Arctic Marine Accidents from 1993 to 2011 , 2015 .

[14]  Chaozhong Wu,et al.  Incorporating CREAM and MCS into fault tree analysis of LNG carrier spill accidents , 2017 .

[15]  Jakub Montewka,et al.  An analysis of ship escort and convoy operations in ice conditions , 2017 .

[16]  Valdez Banda,et al.  Maritime risk and safety management with focus on winter navigation , 2017 .

[17]  Alex Viale,et al.  Application of a human error framework to conduct train accident/incident investigations. , 2006, Accident; analysis and prevention.

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

[19]  Jakub Montewka,et al.  Towards probabilistic models for the prediction of a ship performance in dynamic ice , 2015 .

[20]  Willy Østreng,et al.  Shipping in Arctic Waters: A comparison of the Northeast, Northwest and Trans Polar Passages , 2013 .

[21]  Faisal Khan,et al.  A risk-based approach to developing design temperatures for vessels operating in low temperature environments , 2015 .

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

[23]  Osiris A. Valdez Banda,et al.  A risk analysis of winter navigation in Finnish sea areas. , 2015, Accident; analysis and prevention.

[24]  Vladimir R. Kuzmin,et al.  Risk management model of winter navigation operations. , 2016, Marine pollution bulletin.

[25]  Martin Franck,et al.  COLLISIONS IN ICE : A STUDY OF COLLISIONS INVOLVING SWEDISH ICEBREAKERS IN THE BALTIC SEA , 2013 .

[26]  Di Zhang,et al.  An accident data–based approach for congestion risk assessment of inland waterways: A Yangtze River case , 2014 .

[27]  Jakub Montewka,et al.  A quantitative approach for risk assessment of a ship stuck in ice in Arctic waters , 2017, Safety Science.

[28]  Jakub Montewka,et al.  Usability of accident and incident reports for evidence-based risk modeling – A case study on ship grounding reports , 2015 .

[29]  Christine Chauvin,et al.  Human and organisational factors in maritime accidents: analysis of collisions at sea using the HFACS. , 2013, Accident; analysis and prevention.

[30]  Frédéric Lasserre,et al.  Interest of Asian shipping companies in navigating the Arctic , 2016 .

[31]  Floris Goerlandt,et al.  An analysis of wintertime navigational accidents in the Northern Baltic Sea , 2017 .

[32]  Andrew S McIntosh,et al.  Understanding the human factors contribution to railway accidents and incidents in Australia. , 2008, Accident; analysis and prevention.

[33]  J. M. Patterson,et al.  Operator error and system deficiencies: analysis of 508 mining incidents and accidents from Queensland, Australia using HFACS. , 2010, Accident; analysis and prevention.

[34]  Kaj Riska,et al.  A system for route optimization in ice-covered waters , 2009 .

[35]  S. C. Agarwal,et al.  A boolean algebra method for reliability calculations , 1983 .

[36]  Genserik Reniers,et al.  On the assessment of uncertainty in risk diagrams , 2016 .

[37]  Ronald Pelot,et al.  Making sense of Arctic maritime traffic using the Polar Operational Limits Assessment Risk Indexing System (POLARIS) , 2016 .