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A HYBRID METHODOLOGY FOR MARITIME ACCIDENT ANALYSIS: THE CASE OF SHIP COLLISION

机译:海上事故分析的一种混合方法:以船舶碰撞为例

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Human error is recognized as the most common factor that causes maritime accidents. Human Error Assessment and Reduction Technique (HEART) as a Human Reliability Assessment (HRA) has been widely applied in various industries. However, in the maritime industry, machine, media, and management are also considered as factors that can strongly affect human behavior, judgment, and other human elements. These factors are particularly relevant for bridge resource management that perform the task of maintaining a proper lookout. Therefore, this study considers the effect of those factors integrated with 4M (man, machine, media, management) factors. The study was conducted with 3 7 collisions accident reports from 2007-2017, using data from the NTSB and TSB-Canada. There are 229 Error Producing Condition (EPC) found in this study. The classification of the EPC to the 4M conducted in this study.
机译:人为错误被认为是导致海事事故的最常见因素。人为错误评估和减少技术(HEART)作为人的可靠性评估(HRA)已广泛应用于各个行业。但是,在海运行业中,机器,媒体和管理也被视为会严重影响人类行为,判断和其他人类因素的因素。这些因素与执行维护适当监视任务的网桥资源管理特别相关。因此,本研究考虑了那些因素与4M(人,机器,媒体,管理)因素整合在一起的影响。这项研究使用了来自NTSB和TSB-Canada的数据,对2007年至2017年的3 7起碰撞事故报告进行了研究。在这项研究中发现了229个错误产生条件(EPC)。在这项研究中,将EPC划分为4M。

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