• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.5
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• pp.511-518
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• 2018

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.

• Journal of the Korea Institute of Building Construction
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• v.22 no.4
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• pp.415-423
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• 2022

As human factors are the most important cause of construction accidents, it is important to reduce human error in construction work to reduce accidents. However, the error forcing context in organizational situations acts as a factor behind human error. Therefore, fatal construction accidents were analyzed using the m-SHEL model, which can identify the factors behind human errors. Through such analysis, it was found that there are differences in the detailed factors behind human errors according to the type of fatal accidents in construction, This study is meaningful in that it confirmed through accident cases that it is important to understand and respond to organizational situations in order to reduce human error in construction work.

• Proceedings of KOSOMES biannual meeting
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• 2018.06a
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• pp.50-50
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• 2018