Proposals for Enhancing Safety Management Measures for Mid-To-Large-Sized Unmanned Aircraft Systems

Purpose: This foundational research aims to improve safety management for mid-tolarge-sized Unmanned Aircraft Systems (UAS) in the Republic of Korea Air Force (ROKAF) by identifying perceived safety-impeding items and preventing human-factor accidents.Methods: Utilizing the Human Factors Analysis and Classification System (HFACS) 7.0 model, a two-round survey on mission risk factors was conducted among ROKAF RQ-4B high-altitude unmanned aerial vehicle pilots.The questionnaire utilized a 4-point Likert scale.A mean score of 2.5 (the median) or higher was set as the threshold for safety hazards, while a score of 3.0 or higher classified an item as a relatively highlevel safety-impeding perception.Results: Safety-impeding perception items were analyzed across the HFACS 7.0 levels.The study identified 38 recognized hazard items in total: 6 under 'Unsafe acts,' 22 under 'Preconditions for unsafe acts,' 3 under 'Unsafe supervision,' and 7 under 'Organizational influences.' Conclusion: To prevent accidents, the identified items must be categorized into human, material, and environmental factors and managed via sector-specific guidelines.Properly adapting and enhancing these detailed guidelines-originally designed for manned aircraft pilots to elevate safety awareness, institutionalize procedural compliance, and hone flight skills-for UAS pilots is expected to be highly effective in reducing accidents caused by human factors.

Authors

Institutions

Publication Details

Journal
The Korean Journal of Aerospace and Environmental Medicine
Published
2026-06-30
DOI
https://doi.org/10.46246/kjasem.260009
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Proposals for Enhancing Safety Management Measures for Mid-To-Large-Sized Unmanned Aircraft Systems

BonEan Koo
The Korean Journal of Aerospace and Environmental Medicine
Air Traffic Management and Optimization
article

Proposals for Enhancing Safety Management Measures for Mid-To-Large-Sized Unmanned Aircraft Systems

BonEan Koo
article en

Abstract

Purpose: This foundational research aims to improve safety management for mid-tolarge-sized Unmanned Aircraft Systems (UAS) in the Republic of Korea Air Force (ROKAF) by identifying perceived safety-impeding items and preventing human-factor accidents.Methods: Utilizing the Human Factors Analysis and Classification System (HFACS) 7.0 model, a two-round survey on mission risk factors was conducted among ROKAF RQ-4B high-altitude unmanned aerial vehicle pilots.The questionnaire utilized a 4-point Likert scale.A mean score of 2.5 (the median) or higher was set as the threshold for safety hazards, while a score of 3.0 or higher classified an item as a relatively highlevel safety-impeding perception.Results: Safety-impeding perception items were analyzed across the HFACS 7.0 levels.The study identified 38 recognized hazard items in total: 6 under 'Unsafe acts,' 22 under 'Preconditions for unsafe acts,' 3 under 'Unsafe supervision,' and 7 under 'Organizational influences.' Conclusion: To prevent accidents, the identified items must be categorized into human, material, and environmental factors and managed via sector-specific guidelines.Properly adapting and enhancing these detailed guidelines-originally designed for manned aircraft pilots to elevate safety awareness, institutionalize procedural compliance, and hone flight skills-for UAS pilots is expected to be highly effective in reducing accidents caused by human factors.

The Korean Journal of Aerospace and Environmental MedicineVol. 36(2)
Korea Occupational Safety and Health Agency (KR)
Openalex Percentile: Top 4%
Air Traffic Management and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.