Expert elicitation of a navigation service implementation effects on ship groundings and collisions in the Gulf of Finland

When considering the implementation of a novel risk-control option, the estimation of its possible effects often relies on expert elicitation. This article presents an expert-knowledge–based preliminary assessment of how the deployment of Enhanced Navigation Support Information navigation service would affect the ship collisions and groundings in the Gulf of Finland. Experts probabilistically assess the service’s direct effects on various factors, which are then utilized in collision and grounding probability Bayesian network models. The results indicate that implementing the Enhanced Navigation Support Information service could decrease the number of accidents. However, a comparison of the model outcomes to the experts’ qualitative opinions reveals some discrepancies, which suggest that the elicitation procedure or the applied models might require further improvement. Nevertheless, with the proposed Bayesian approach, the model can be updated and uncertainties in the estimates reduced after more evidences are available later from longer and wider use of the service.

[1]  Alan Brown,et al.  Assessing the impact of management and organizational factors on the risk of tanker grounding , 1998 .

[2]  Gesa Praetorius,et al.  Learning lessons in resilient traffic management : A cross-domain study of Vessel Traffic Service and Air Traffic Control , 2012 .

[3]  Jakub Montewka,et al.  Determination of collision criteria and causation factors appropriate to a model for estimating the probability of maritime accidents , 2012 .

[4]  Finn V. Jensen,et al.  Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.

[5]  H. A. Lingstone,et al.  The Delphi Method: Techniques and Applications , 1976 .

[6]  Jenni et. al. Kuronen,et al.  Maritime transportation in the Gulf of Finland in 2007 and in 2015 , 2008 .

[7]  Gandossi Luca,et al.  Training Material for Formal Expert Judgement , 2005 .

[8]  Per Olaf Brett,et al.  Intelligent ship traffic monitoring for oil spill prevention: risk based decision support building on AIS. , 2007, Marine pollution bulletin.

[9]  Anders L. Madsen,et al.  The Hugin Tool for Probabilistic Graphical Models , 2005, Int. J. Artif. Intell. Tools.

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

[11]  O. Brunila,et al.  Oil Transportation in the Gulf of Finland in 2020 and 2030 , 2012 .

[12]  P. T. Pedersen,et al.  Collision and Grounding , 2006 .

[13]  Maria Hänninen,et al.  Analysis of the marine traffic safety in the Gulf of Finland , 2009, Reliab. Eng. Syst. Saf..

[14]  Gesa Praetorius,et al.  Communicating intended routes in ECDIS: evaluating technological change. , 2013, Accident; analysis and prevention.

[15]  Margareta Lützhöft,et al.  Piloting by heart and by chart , 2006 .

[16]  Jerzy Mikulski Modern Transport Telematics , 2011 .

[17]  Tayfur Altiok,et al.  Risk Analysis of the Vessel Traffic in the Strait of Istanbul , 2009, Risk analysis : an official publication of the Society for Risk Analysis.

[18]  T Macduff,et al.  THE PROBABILITY OF VESSEL COLLISIONS , 1974 .

[19]  Jakub Montewka,et al.  Probability modelling of vessel collisions , 2010, Reliab. Eng. Syst. Saf..

[20]  Floris Goerlandt,et al.  Traffic simulation based ship collision probability modeling , 2011, Reliab. Eng. Syst. Saf..

[21]  Adam Weintrit,et al.  Development of the IMO e-Navigation Concept - Common Maritime Data Structure , 2011, TST.

[22]  Martha Grabowski,et al.  Technology impacts on safety and decision making over time in marine transportation , 2011 .

[23]  Jeremy E. Oakley,et al.  Uncertain Judgements: Eliciting Experts' Probabilities , 2006 .

[24]  Silja Renooij,et al.  Probabilities for a probabilistic network: a case study in oesophageal cancer , 2002, Artif. Intell. Medicine.

[25]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[26]  S. Ahmed,et al.  Bayesian Networks and Decision Graphs (2nd ed.), by F. V. Jenson and T. D. Nielsen , 2008 .

[27]  Michael D. Amrozowicz The quantitative risk of oil tanker groundings , 1996 .

[28]  Pentti Kujala,et al.  Estimating the Number of Tanker Collisions in the Gulf of Finland in 2015 , 2012 .

[29]  Seth D. Guikema,et al.  Whose uncertainty assessments (probability distributions) does a risk assessment report: the analysts' or the experts'? , 2011, Reliab. Eng. Syst. Saf..

[30]  Jason R. W. Merrick,et al.  On a risk management analysis of oil spill risk using maritime transportation system simulation , 2011, Ann. Oper. Res..

[31]  Alan Brown,et al.  A Probabilistic Analysis of Tanker Groundings , 1997 .

[32]  Per Olaf Brett,et al.  Prevention of oil spill from shipping by modelling of dynamic risk. , 2007, Marine pollution bulletin.

[33]  Yahei Fujii,et al.  II—The Probability of Stranding , 1974 .

[34]  M Baldauf,et al.  Collision avoidance systems in air and maritime traffic , 2011 .

[35]  Jenni Kuronen,et al.  Maritime transportation in the Gulf of Finland in 2007 and three alternative scenarios for 2015 , 2009 .