| Summary: | As there are few regulations for vessel evacuation systems in ice, a risk-based approach to defining requirements for safety in such circumstances is needed. In order for these requirements to be proactive in improving safety, a safety assessment is performed. The study reports the findings of a hazard identification workshop, where the goal was to identify hazards related to the subject matter and prioritize them based on the risk level. This information is used in generating a survey to gain better knowledge of the risks. A major part of safety assessment is the risk analysing step and for this purpose, the study uses a method called Bayesian modelling. The Bayesian network, a probabilistic graphical model, is based on the knowledge provided by experts in the form of survey answers. To gain extensive knowledge of the major circumstantial factors related to cold regions, the survey was completed first in Canada and then again in Finland. The risks of evacuation in the vast Canadian Arctic in comparison to the closed Baltic Sea are examined. The nature of safety analysis allows also investigation into the effects of risk control options (RCO). This enabies focus on the solutions that are found to be the most effective in diminishing the risks in the future. The study divides the evacuation process into the five most hazardous categories identified by experts: life rafts, lifeboats, training of the crew, remoteness and personal protective equipment (PPE). These categories form the core of the mathematical model. The study pinpoints the shortcomings in these areas and investigates means to enhance the safety during evacuation. The emphasis, however, is as much on creating a simple tool to be used for reviewing the risk level, as it is on actual results. Jäissäkulkevien alusten evakuointiin liittyen on olemassa vain harvoja määräyksiä. Tästä syystä riskilähtöinen tarkastelu uusien sääntöjen viitekehyksien määrittämiseksi on tarpeen. Jotta säännöt ennaltaehkäisisivät onnettomuuksia, on niiden perustuttuva jo ...
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