Over a decade of UAV incidents: A human factors analysis of causal factors

IF 3.1 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL Applied Ergonomics Pub Date : 2024-07-18 DOI:10.1016/j.apergo.2024.104355
Ben Grindley , Katie Phillips , Katie J. Parnell , Tom Cherrett , James Scanlan , Katherine L. Plant
{"title":"Over a decade of UAV incidents: A human factors analysis of causal factors","authors":"Ben Grindley ,&nbsp;Katie Phillips ,&nbsp;Katie J. Parnell ,&nbsp;Tom Cherrett ,&nbsp;James Scanlan ,&nbsp;Katherine L. Plant","doi":"10.1016/j.apergo.2024.104355","DOIUrl":null,"url":null,"abstract":"<div><p>This analysis examined systemic causes of Uncrewed Air Vehicle (UAV) accidents identifying operator, environmental, supervisory, and organisational factors through the use of the Human Factors Analysis and Classification System (HFACS). HFACS is a system-based analysis method for investigating the causal factors associated with accidents and incidents and has previously been used to reliably and systematically identify active and latent failures associated with both military and general aviation accidents. Whilst HFACS has previously been applied to UAV accidents, the last known application was conducted in 2014. Using reports retrieved from nine accident investigation organisations’ databases, causal factors were coded against unsafe acts, preconditions, and failures at the supervisory, organisational, and environmental levels. Causal factors were assessed on 77 medium or large UAV mishaps/accidents that occurred over a 12-year period up to 2024. 42 mishap reports were deemed to involve a human factor as a causal factor. A large proportion of the mishaps contained factors attributed to <em>Decision Errors</em> at level 1 (Unsafe Acts) which was found to be associated with both the <em>Technological Environment</em> and <em>Adverse Mental State</em> at level 2 (Pre-conditions). Causal factors were identified at each of the other 3 levels (Supervisory, Organisational and External) with a number of emergent associations between causal factors. These data provide support for the identification and development of interventions aimed at improving the safety of organisations and advice of regulators for Uncrewed Air Systems.</p></div>","PeriodicalId":55502,"journal":{"name":"Applied Ergonomics","volume":"121 ","pages":"Article 104355"},"PeriodicalIF":3.1000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Ergonomics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0003687024001327","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0

Abstract

This analysis examined systemic causes of Uncrewed Air Vehicle (UAV) accidents identifying operator, environmental, supervisory, and organisational factors through the use of the Human Factors Analysis and Classification System (HFACS). HFACS is a system-based analysis method for investigating the causal factors associated with accidents and incidents and has previously been used to reliably and systematically identify active and latent failures associated with both military and general aviation accidents. Whilst HFACS has previously been applied to UAV accidents, the last known application was conducted in 2014. Using reports retrieved from nine accident investigation organisations’ databases, causal factors were coded against unsafe acts, preconditions, and failures at the supervisory, organisational, and environmental levels. Causal factors were assessed on 77 medium or large UAV mishaps/accidents that occurred over a 12-year period up to 2024. 42 mishap reports were deemed to involve a human factor as a causal factor. A large proportion of the mishaps contained factors attributed to Decision Errors at level 1 (Unsafe Acts) which was found to be associated with both the Technological Environment and Adverse Mental State at level 2 (Pre-conditions). Causal factors were identified at each of the other 3 levels (Supervisory, Organisational and External) with a number of emergent associations between causal factors. These data provide support for the identification and development of interventions aimed at improving the safety of organisations and advice of regulators for Uncrewed Air Systems.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
十多年来的无人驾驶飞行器事故:人为因素分析
这项分析研究了无人驾驶飞行器(UAV)事故的系统性原因,通过使用人为因素分析和分类系统(HFACS)确定了操作员、环境、监管和组织因素。HFACS 是一种基于系统的分析方法,用于调查与事故和事件相关的因果因素,以前曾用于可靠、系统地识别与军事和通用航空事故相关的主动和潜在故障。虽然 HFACS 以前曾应用于无人机事故,但最近一次已知的应用是在 2014 年。利用从九个事故调查组织数据库中检索到的报告,针对不安全行为、先决条件以及监管、组织和环境层面的故障对因果因素进行了编码。对截至 2024 年的 12 年间发生的 77 起中型或大型无人机失事/事故的因果因素进行了评估。42起事故报告被认为涉及人为因素。大部分失事报告中的因素可归因于第 1 级(不安全行为)的决策失误,而第 2 级(先决条件)的决策失误又与技术环境和不利心理状态有关。在其他 3 个层次(监督、组织和外部)中的每个层次都确定了因果因素,并在因果因素之间发现了一些关联。这些数据为确定和制定干预措施提供了支持,这些干预措施旨在提高组织的安全性,并为无螺杆空气系统监管者提供建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Applied Ergonomics
Applied Ergonomics 工程技术-工程:工业
CiteScore
7.50
自引率
9.40%
发文量
248
审稿时长
53 days
期刊介绍: Applied Ergonomics is aimed at ergonomists and all those interested in applying ergonomics/human factors in the design, planning and management of technical and social systems at work or leisure. Readership is truly international with subscribers in over 50 countries. Professionals for whom Applied Ergonomics is of interest include: ergonomists, designers, industrial engineers, health and safety specialists, systems engineers, design engineers, organizational psychologists, occupational health specialists and human-computer interaction specialists.
期刊最新文献
Assessing operator stress in collaborative robotics: A multimodal approach Corrigendum to "Gender, sex and desk-based postural behaviour: A systematic review re-interpreting biomechanical evidence from a social perspective" [Appl. Ergon. 114 (2023) 104073]. Takeover and non-driving related task performance in conditional automated driving: EEG and behavior Parameters interaction Editorial Board Effect of a back-support exoskeleton on internal forces and lumbar spine stability during low load lifting task
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1