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Development of a Human Factors Investigation and Analysis Model for Use in Maritime Accidents: A Case Study of Collision Accident InvestigationDevelopment of a Human Factors Investigation and Analysis Model for Use in Maritime Accidents: A Case Study of Collision Accident Investigation

Other Titles
Development of a Human Factors Investigation and Analysis Model for Use in Maritime Accidents: A Case Study of Collision Accident Investigation
Authors
김홍태나성
Issue Date
2017
Publisher
한국항해항만학회
Keywords
Human Error; Marine Accident Investigation; Human Factors; Cognitive Process; HFACS
Citation
한국항해항만학회지, v.41, no.5, pp 303 - 318
Pages
16
Journal Title
한국항해항만학회지
Volume
41
Number
5
Start Page
303
End Page
318
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/633
DOI
10.5394/KINPR.2017.41.5.303
ISSN
1598-5725
2093-8470
Abstract
In the shipping industry, it is well known that around 80 % or more of all marine accidents are caused fully or at least in part by human error. In this regard, the International Maritime Organization (IMO) stated that the study of human factors would be important for improving maritime safety. Consequently, the IMO adopted the Casualty Investigation Code, including guidelines to assist investigators in the implementation of the Code, to prevent similar accidents occurring again in the future. In this paper, a process of the human factors investigation is proposed to provide investigators with a guide for determining the occurrence sequence of marine accidents, to identify and classify human error-inducing underlying factors, and to develop safety actions that can manage the risk of marine accidents. Also, an application of these investigation procedures to a collision accident is provided as a case study This is done to verify the applicability of the proposed human factors investigation procedures. The proposed human factors investigation process provides a systematic approach and consists of 3 steps: ‘Step 1: collect data & determine occurrence sequence’ using the SHEL model and the cognitive process model; ‘Step 2: identify and classify underlying human factors’ using the Maritime-Human Factor Analysis and Classification System (M-HFACS) model; and ‘Step 3: develop safety actions,’ using the causal chains. The case study shows that the proposed human factors investigation process is capable of identifying the underlying factors and indeveloping safety actions to prevent similar accidents from occurring.
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