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Mapping systemic influences on human performance: a data-driven analysis of organizational and regulatory factors in China’s general aviation accidents

Qian Ma et al.

International Journal of Occupational Safety and Ergonomics2026https://doi.org/10.1080/10803548.2026.2625603article
AJG 1
Weight
0.50

What the paper says

Objectives. Ensuring safety in high-risk occupations is challenging when human performance is influenced by organizational, technical and environmental factors. This study aims to analyze the causal mechanisms of accidents in high-risk work systems, using China's general aviation (GA) as a case study. Methods. A novel data-driven tree-augmented naive Bayesian network (TAN-BN) model was developed, integrating variables across human, organizational, regulatory, technical and environmental domains. The model was applied to 186 GA accident reports from China (1996-2024), with sensitivity analysis and validation assessing its robustness. Results. Human, technical and environmental factors significantly influence pilot behavior, while preconditions for pilot unsafe acts are shaped by organizational and regulatory oversight. Sensitivity analysis further identified distinct risk patterns: regulatory deficiencies dominate serious accidents, whereas technical failures are more critical in minor and major accidents. The TAN-BN model demonstrated strong predictive accuracy. Conclusions. This study quantitatively maps how context-specific regulatory and organizational conditions shape human performance under pressure and reveals universal risk propagation mechanisms in high-risk work systems. The findings provide a data-informed basis for human-centered safety interventions, highlighting the need to strengthen organizational management, regulatory oversight and environmental risk management in GA.

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https://doi.org/https://doi.org/10.1080/10803548.2026.2625603

Or copy a formatted citation

@article{qian2026,
  title        = {{Mapping systemic influences on human performance: a data-driven analysis of organizational and regulatory factors in China’s general aviation accidents}},
  author       = {Qian Ma et al.},
  journal      = {International Journal of Occupational Safety and Ergonomics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/10803548.2026.2625603},
}

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Mapping systemic influences on human performance: a data-driven analysis of organizational and regulatory factors in China’s general aviation accidents

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.