TY - JOUR
T1 - Expert elicitation of a navigation service implementation effects on ship groundings and collisions in the Gulf of Finland
AU - Hänninen, Maria
AU - Mazaheri, Arsham
AU - Kujala, Pentti
AU - Montewka, Jakub
AU - Laaksonen, Pekka
AU - Salmiovirta, Maija
AU - Klang, Mikko
PY - 2014/2
Y1 - 2014/2
N2 - 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.
AB - 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.
KW - accident probability
KW - Bayesian networks
KW - expert elicitation
KW - Ship collision and grounding
KW - the Gulf of Finland
KW - Vessel Traffic Service
UR - http://www.scopus.com/inward/record.url?scp=84892754923&partnerID=8YFLogxK
U2 - 10.1177/1748006X13494533
DO - 10.1177/1748006X13494533
M3 - Article
AN - SCOPUS:84892754923
SN - 1748-006X
VL - 228
SP - 19
EP - 28
JO - Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
JF - Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
IS - 1
ER -