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http://dx.doi.org/10.12673/jant.2021.25.3.256

Applicable Focal Points of HFACS to Investigate Domestic Civil Unmanned Aerial Vehicle Accidents  

Lee, Keon-Hee (Department of Aviation Management, Korea Aerospace University)
Kim, Hyeon-Deok (Department of Flight Operation, Korea Aerospace University)
Publication Information
Journal of Advanced Navigation Technology / v.25, no.3, 2021 , pp. 256-266 More about this Journal
Abstract
Domestic and foreign studies point to human factors as the main cause of unmanned aerial vehicle accidents, and HFACS is introduced as a technique to effectively analyze these human factors. Until now, domestic and foreign cases of analyzing the human factors of unmanned aerial vehicle accidents using HFACS were mainly targeted by military unmanned aerial vehicles, which can be used as an objective cause identification and similar accident prevention tool. In particular, identifying the focus of HFACS application considering the performance and operation conditions of domestic civilian unmanned aerial vehicles is expected to greatly help identify the cause and prevent recurrence in the event of an accident. Based on HFACS version 7.0, this study analyzed the accident investigation report data conducted by Korea Aviation and Railway Accident Investigation Board to identify the focus of HFACS application that can be used for domestic civilian unmanned aircraft accident investigations.
Keywords
Civil unmanned aerial vehicle; Unmanned aerial vehicle accident; Aircraft accident/incident investigation; Human factors; Human factors analysis and classification system;
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1 D. A. Wiegmann, and S. A. Shappell, A human error analysis of commercial aviation accidents using the human factors analysis and classification system (HFACS), U.S. Department of Transportation Federal Aviation Administration, Office of Aviation Medicine Washington, D.C. 20591, No. DOT/FAA/AM-01/3, pp.1-20, Feb 2001.
2 M. H. Shin et al., Research on the status of domestic and abroad unmanned aerial vehicle industry and development plan based on demand, Korea Aerospace Industries Association, pp.1-117, 2016.
3 S. A. Shappell, and D. A. Wiegmann, The human factors analysis and classification system-HFACS, U.S. Department of Transportation Federal Aviation Administration, Office of Aviation Medicine Washington, D.C. 20591, No. DOT/FAA/AM-00/7, Feb 2000.
4 W. T. Thompson, and A. P. Tvaryanas, U.S. Military Unmanned aerial vehicle mishaps: Assessment of the role of human factors using human factors analysis and classification system (HFACS), United States Air Force 311th Human Systems Wing, pp.1-37, 2005.
5 ARAIB/UAR1504, Ultralight aerial vehicle accident investigation report, Aviation and Railway Accident Investigation Board, July 2016.
6 A. P. Tvaryanas, W. T. Thompson, and Stefan H. Constable, "Human Factors in Remotely Piloted Aircraft Operations: HFACS Analysis of 221 Mishaps Over 10 Years," Journal of Aviation, Space, and Environmental Medicine, Vol. 77, No. 7, pp. 724-732, July 2006.
7 V. Yesilbas, The relationship among HFACS levels and analysis of human factors in unmanned and manned air vehicles, Ph.D. thesis, Old Dominion University, Norfolk, VA, May 2014.
8 KOTSA, Status of qualification for the pilot of the ultralight aerial vehicle, Korea Transportation Safety Agency, 2020.
9 B. E. Koo, "Human error vulnerability as a pilot in a military unmanned aerial vehicle system," Korean Academy of Aerospace Human Factors, Korea Airports Corporation Aviation Security Training Center, pp. 1-26, Dec 2018.
10 B. R. Kim et al., Unmanned aerial vehicle, Korea Institute of Science & Technology Evaluation and Planning, No. 2018-19, pp.1-29, 2018.
11 KIAST, Status of certification for the ultralight aerial vehicle, Korea Institute of Aviation Safety Technology, 2020.
12 U.S. Air Force Safety Center, DoD Human factors analysis and classification system(HFACS) version 7.0, pp.1-23, June 2019.
13 ARAIB/UAR01703, Ultralight aerial vehicle accident investigation report, Aviation and Railway Accident Investigation Board, September 2017.
14 M. Oncu, and S. Yildiz, An analysis of human causal factors in unmanned aerial vehicle (UAV) accidents, Naval Postgraduate School, Monterey, California, December 2014.
15 Aviation and Railway Accident Investigation Board. Aviation accident investigation report. [Ministry of Land, Infrastructure and Transport] Available: http://araib.molit.go.kr/USR/airboard0201/m_34497/lst.jsp
16 ARAIB/UAR0903, Ultralight aerial vehicle accident investigation report, Aviation and Railway Accident Investigation Board, December 2010.
17 ARAIB/UAR1902, Ultralight aerial vehicle accident investigation report, Aviation and Railway Accident Investigation Board, August 2019.