Purpose:The majority of global trade is still carried out by the commercial shipping sector although it lags behind other transport sectors in terms of safety and accident reduction. Human error is recognized as the most likely cause of maritime accidents. As such, the literature focuses on the impact of human error on maritime safety. Human Reliability Analysis (HRA), Human Error Identification (HEI), and accident analysis are the most common techniques used to examine the human error. The initial goal of this paper is to give a general overview of the various types of analysis models and methods that are accessible. The goal is not to give a thorough overview of analysis methods. Instead, it serves to inform the readers of the broad ideas that underlie each category and to offer them a point of reference for any further research they choose to conduct. So, the paper focuses on the accident analysis division of accident investigation techniques. Design/Methodolgy/Approach: In particular, this paper thoroughly examines the Human Factors Analysis and Classification System (HFACS) as a qualitative analytic model to assess active and latent failures reported in maritime accident reports. A collision accident is taken as a case study, a step-by-step analysis is undertaken, and human error causal factors are singled out.Findings: The HFACS-MA approach was assessed for its potential as a way of analyzing maritime accidents in the current research, and it was determined to be quite suitable.
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