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A modified accident analysis and investigation model for the general aviation industry: Emphasizing on human and organizational factors.
J Safety Res. 2018 12; 67:1-15.JS

Abstract

INTRODUCTION

Currently, there is a lack of specific analytical tools for general aviation accidents (GAAs). This has led to loopholes in the prevention of GAAs.

METHODS

A Swiss Cheese model for general aviation (SCM-GA) is proposed to identify the human and organizational factors involved in GAAs. In the proposed SCM-GA, 5 categories, 45 subcategories, a general aviation safety management system (GA-SMS) and safety culture were developed based on the classic accident causation models combined with the laws and regulations and safety management practices in the general aviation industry.

RESULTS

One GAA was analyzed using SCM-GA. The human and organizational causes revealed by SCM-GA were more complete than the causes revealed through the accident report. The identification results of the deficiencies in the subcategories of GA-SMS and the safety culture were more consistent with the requirements in the general aviation laws and regulations than the organizational factors in the accident report. Based on the subcategories of SCM-GA, 41 GAAs that occurred between 1996 and 2010 in China were statistically analyzed and χ2 test analyses were performed to estimate the statistical strength of the association between two adjacent subcategories of SCM-GA. The results showed that two adjacent subcategories of SCM-GA were significantly associated. They helped to determine the hidden problems in the accident report based on the path of accident.

CONCLUSIONS

SCM-GA is an accident analysis tool that can comprehensively analyze the human and organizational deficiencies involved in GAAs. The accident causes revealed by SCM-GA were more consistent with the general aviation safety management practices.

PRACTICAL APPLICATIONS

General aviation companies should establish their own GA-SMS and safety culture based on the subcategories developed herein. Using SCM-GA for routine safety inspection and accident investigation will help the management and the staff make effective safety decisions to effectively prevent GAAs.

Authors+Show Affiliations

College of Resources & Safety Engineering, China University of Mining & Technology(Beijing), Beijing, 100083, PR China.College of Resources & Safety Engineering, China University of Mining & Technology(Beijing), Beijing, 100083, PR China. Electronic address: fugui66@126.com.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

30553410

Citation

Xue, Yujingyang, and Gui Fu. "A Modified Accident Analysis and Investigation Model for the General Aviation Industry: Emphasizing On Human and Organizational Factors." Journal of Safety Research, vol. 67, 2018, pp. 1-15.
Xue Y, Fu G. A modified accident analysis and investigation model for the general aviation industry: Emphasizing on human and organizational factors. J Safety Res. 2018;67:1-15.
Xue, Y., & Fu, G. (2018). A modified accident analysis and investigation model for the general aviation industry: Emphasizing on human and organizational factors. Journal of Safety Research, 67, 1-15. https://doi.org/10.1016/j.jsr.2018.09.008
Xue Y, Fu G. A Modified Accident Analysis and Investigation Model for the General Aviation Industry: Emphasizing On Human and Organizational Factors. J Safety Res. 2018;67:1-15. PubMed PMID: 30553410.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A modified accident analysis and investigation model for the general aviation industry: Emphasizing on human and organizational factors. AU - Xue,Yujingyang, AU - Fu,Gui, Y1 - 2018/09/27/ PY - 2018/01/21/received PY - 2018/08/09/revised PY - 2018/09/17/accepted PY - 2018/12/17/entrez PY - 2018/12/17/pubmed PY - 2019/10/8/medline KW - Accident analysis KW - Accident investigation tool KW - General aviation accidents KW - Human and organizational factors KW - Swiss Cheese model for general aviation SP - 1 EP - 15 JF - Journal of safety research JO - J Safety Res VL - 67 N2 - INTRODUCTION: Currently, there is a lack of specific analytical tools for general aviation accidents (GAAs). This has led to loopholes in the prevention of GAAs. METHODS: A Swiss Cheese model for general aviation (SCM-GA) is proposed to identify the human and organizational factors involved in GAAs. In the proposed SCM-GA, 5 categories, 45 subcategories, a general aviation safety management system (GA-SMS) and safety culture were developed based on the classic accident causation models combined with the laws and regulations and safety management practices in the general aviation industry. RESULTS: One GAA was analyzed using SCM-GA. The human and organizational causes revealed by SCM-GA were more complete than the causes revealed through the accident report. The identification results of the deficiencies in the subcategories of GA-SMS and the safety culture were more consistent with the requirements in the general aviation laws and regulations than the organizational factors in the accident report. Based on the subcategories of SCM-GA, 41 GAAs that occurred between 1996 and 2010 in China were statistically analyzed and χ2 test analyses were performed to estimate the statistical strength of the association between two adjacent subcategories of SCM-GA. The results showed that two adjacent subcategories of SCM-GA were significantly associated. They helped to determine the hidden problems in the accident report based on the path of accident. CONCLUSIONS: SCM-GA is an accident analysis tool that can comprehensively analyze the human and organizational deficiencies involved in GAAs. The accident causes revealed by SCM-GA were more consistent with the general aviation safety management practices. PRACTICAL APPLICATIONS: General aviation companies should establish their own GA-SMS and safety culture based on the subcategories developed herein. Using SCM-GA for routine safety inspection and accident investigation will help the management and the staff make effective safety decisions to effectively prevent GAAs. SN - 1879-1247 UR - https://www.unboundmedicine.com/medline/citation/30553410/A_modified_accident_analysis_and_investigation_model_for_the_general_aviation_industry:_Emphasizing_on_human_and_organizational_factors_ DB - PRIME DP - Unbound Medicine ER -