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Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
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Analysis on coupling dynamic effect of human errors in aviation safety.

Yibing Wu1, Shuguang Zhang1, Xuan Zhang2

  • 1School of Transportation Science and Engineering, Beihang University, Beijing 100191, China.

Accident; Analysis and Prevention
|September 10, 2023
PubMed
Summary

Human errors significantly contribute to aviation accidents. A novel Human Factors Analysis and Classification System (HFACS) and System Dynamics (SD) model reveals how these factors interact, enabling targeted safety enhancements to reduce accident rates.

Keywords:
Aviation human factorsCoupling riskEigenvalue elasticity analysisHuman Factors Analysis and Classification System (HFACS)System Dynamics (SD)

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Area of Science:

  • Aviation Safety
  • Systems Engineering
  • Human Factors Analysis

Background:

  • Human factors are the primary cause of aircraft accidents, often interacting with environmental, mechanical, and physiological elements.
  • Understanding the complex interplay of these factors is crucial for preventing aviation incidents.

Purpose of the Study:

  • To develop a hybrid model integrating the Human Factors Analysis and Classification System (HFACS) with System Dynamics (SD) to analyze aviation human error risk evolution.
  • To identify critical factors and feedback loops influencing aviation safety through eigenvalue elasticity analysis.

Main Methods:

  • A hybrid HFACS-SD model was constructed, using HFACS to identify causal factors of human error risk.
  • System Dynamics was employed to model the evolution of aviation human factors risk, validated with historical data.
  • Eigenvalue elasticity analysis was performed to assess the impact of critical loops and parameters on system behavior.

Main Results:

  • The HFACS-SD model accurately replicated the historical accident rate trends.
  • Structural dominance analysis effectively identified key loops and parameters influencing aviation safety.
  • The model demonstrated that implementing recommended safety enhancements increases system stability and reduces the accident rate.

Conclusions:

  • The hybrid HFACS-SD model provides a robust framework for understanding and mitigating aviation human error risks.
  • Targeted safety enhancements, identified through this model, are effective in improving overall aviation system stability and safety.