Abstract

Many causal factors to marine traffic accidents (MTAs) influence each other and have associated effects. It is necessary to quantify the correlation path mode of these factors to improve accident prevention measures and their effects. In the application of human factors to accident mechanisms, the complex structural chains on causes to MTA systems were analyzed by combining the human failure analysis and classification system (HFACS) with theoretical structural equation modeling (SEM). First, the accident causation model was established as a human error analysis classification in sight of a MTA, and the constituent elements of the causes of the accident were conducted. Second, a hypothetical model of human factors classification was proposed by applying the practice of the structural model. Third, with the data resources from ship accident cases, this hypothetical model was discussed and simulated, and as a result, the relationship path dependency mode between the latent independent variable of the accident was quantitatively analyzed based on the observed dependent variable of human behavior. Application examples show that relationships in the HFACS are verified and in line with the path developing mode, and resource management factors have a pronounced influence and a strong relevance to the causal chain of the accidents. Appropriate algorithms for the theoretical model can be used to numerically understand the safety performance of marine traffic systems under different parameters through mathematical analysis. Hierarchical assumptions in the HFACS model are quantitatively verified.

Highlights

  • Marine traffic safety is an important component of economics and trade between different countries

  • Sensitivity Analysis of the human failure analysis and classification system (HFACS)-marine traffic accidents (MTAs) Based on the structural equation modeling (SEM) Model

  • This study further identified that the factors at the preconditions for unsafe acts level are most influential to marine accident risks among all factors at the HFACS levels, and the unsafe supervisions level influences marine accident consequences

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Summary

Introduction

Marine traffic safety is an important component of economics and trade between different countries. The volume of ship transportation has, over time, become an important measurement of a country’s economic development [1]. With the growth of China’s national economy, the shipping industry has developed rapidly and the scale of transportation has expanded. Marine traffic accidents (MTAs) have consistently highlighted the importance of life safety, property safety, and environment protection. In order to reduce the incidence of MTAs, many experts have conducted research on the causes of MTAs. Marine traffic is a complex system that includes people, ships, and environmental management. Safety experts and scientists agree that the role and status of human factors and management factors in accidents have been proven. At present, many scholars believe that the root cause of accidents is management factors, i.e., the direct cause of accidents is the unsafe acts of personnel [3,4]

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