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EN
Ship traffic is one of the factors that is presented in almost all of the existing grounding models, and is considered as one of the affecting factors on the likelihood of grounding accident. This effect in grounding accident is mostly accepted by the experts as a common sense or simply by just generalizing the ship‐ship collision cases to grounding accidents. There is no available research on the actual causal link between the ship traffic and grounding accident in the literature. In this paper, authors have utilized the statistical analysis on historical grounding accident data in the Gulf of Finland between the years 1989 and 2010 and the AIS data of the same area in year 2010, as the source of ship traffic data, to investigate the possible existence of any correlation between the ship traffic and the grounding accident. The results show that for the studied area (Gulf of Finland) there is no correlation between the traffic density and the grounding accident. However, the possibility of the existence of minor relation between the traffic distribution and grounding accident is shown by the result. This finding, however, needs further investigation for more clarification.
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Content available remote Safety at Sea – a Review of Norwegian Activities
EN
This paper offers a brief review of recent and ongoing Norwegian activities aimed at improving safety at sea, focusing primarily on waters under Norwegian administration. Our discussion of international activities is mostly limited to ongoing IMO Polar Code efforts and Arctic Council search and rescue topics.
3
Content available remote Finite Discrete Markov Model of Ship Safety
EN
The ship safety modeling is the process used to convert information from many sources about the ship as an antropotechnical system into a form so that it can be analyzed effectively. The first step is to fix the system (ship, human, environment) boundaries to clearly identify the scope of the analysis. The ship can be generally defined by conceptual sketches, schematics drawings or flow diagrams to establish the element hierarchy which evolves from the physical and functional relationships. The man could be generally defined by the operational procedures. The environment could be generally defined by the mission place and time of the year. The information is needed considering that the accidents are caused by factors associated with ship (failure, design defect), man (human error, workload), and environment. Safety is a system property that we intuitively relate to a system’s design, accident rates and risk. This work proposes finite discrete Markov model as an example of systematic approach to the analysis of ship safety.
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