Maritime accidents analysis using maritime human factors and analysis model

Abstract

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.

A Statistical Analysis of Ship Accidents (1990–2020) Focusing on Collision, Grounding, Hull Failure, and Resulting Hull Damage

“…According to E.A. Youssef et al [16], the underlying causes of human error are mainly fatigue, stress, substance abuse, and poor decision-making. Implementing measures such as enhanced rest periods, positive crew dynamics, drug and alcohol policies, simulation training, and a robust safety culture can significantly reduce the risk of accidents at sea.…”

Maritime accident analysis using modified HFACS-MA

“…Given the previous success of HFACS, which was developed in the aviation field and has been modified and optimized in a variety of industries, it appeared reasonable to apply the HFACS framework to identify active and latent failures within maritime accidents in the hope of achieving similar results Yang et al (2019). In a previous paper (Youssef et al 2023) the most well-known models of examining human error were discussed and the HFACS was found most suitable for maritime accident analysis, The interested reader is advised to consult Youssef et al (2023) for further details. As indicated in Figure 1, there are four levels of HFACS: unsafe acts, preconditions for unsafe acts, unsafe supervision, and organizational influences.…”