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http://dx.doi.org/10.7837/kosomes.2018.24.5.511

Analysis of Human Factors Behind Maritime Traffic-Related Accidents Using the m-SHEL Model  

Keum, Jong-Soo (Mokpo National Maritime University Mokpo)
Yoon, Dae-Gwun (Mokpo National Maritime University Mokpo)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.24, no.5, 2018 , pp. 511-518 More about this Journal
Abstract
Research indicates, about 80% of maritime accidents are caused by human error. Further investigation of the human factors behind maritime casualties is essential in order to establish preventive measures. The main purpose of this study is to identify and analyze human factors behind maritime traffic-related accidents using the m-SHEL model. Since the m-SHEL model used in other fields is based on generic human factors, it has expanded in this study to accommodate ship operating systems and define human factors. In addition, the validity of the expanded model was verified by reliability analysis using SPSSWIN. A classified table for this extended m-SHEL model was then used to analyze human factors behind maritime traffic-related accidents extracted from a written verdict by the Korean Maritime Safety Tribunal. Human factors were arranged in the order L, L-E, L-H, L-m, L-L, and L-S. This paper contributes to the prevention of maritime traffic-related accidents caused by human factors by presenting useful analytical results that can be applied to build a maritime safety management system.
Keywords
Maritime traffic-related accidents; Human error; Human factor; m-SHEL model; Ship operating system;
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