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In general, seafarer's human error is considered to be the preponderant cause for the majority of maritime transportation accidents in a merchant ship. The implementation techniques for Human Error Model (HEM) to assess possible accident risk by deck officers including captain, chief officer, second mate and third mate are described in this study. The scope of this work is focused to 642 deck officers in the ship management company with 130 vessels. At first, HEM can be constructed through the statistical analysis and expert's brainstorming process with human data to 642 deck officers. Then the variables for the human factors, the evaluation level EP() for , the weight α of υ, and the title weight β of each deck officers can be decided. In addition, through the analysis of ship's accident history, the accident causation ratios by human error γH and by external error γB can be found as 0.517(51.7%) and 0.483(48.3%), respectively. The correlation coefficients to υ are also shown significant for a 95% confidence interval (p < 0.05) for each coefficient. And the validity of HEM is also surveyed by the analysis of normal probability distribution of risk level RL to each deck officer. |
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