Article(id=1281608055628476929, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.04.0635, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1760371200000, receivedDateStr=2025-10-14, revisedDate=1767456000000, revisedDateStr=2026-01-04, acceptedDate=null, acceptedDateStr=null, onlineDate=1783488771588, onlineDateStr=2026-07-08, pubDate=1777305600000, pubDateStr=2026-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783488771588, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783488771588, creator=13701087609, updateTime=1783488771588, updator=13701087609, issue=Issue{id=1281608054340829934, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='4', pageStart='1', pageEnd='286', issueExtLink='null', onlineDate='null', pubDate='1777305600000', pubDateStr='2026-04-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783488771281, creator='13701087609', updateTime=1783588648031, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282026967885124001, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282026967885124002, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281608054340829934, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=38, endPage=48, ext={EN=ArticleExt(id=1281608055955632642, articleId=1281608055628476929, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Causation analysis of air traffic control operational unsafe event based on TM-HFACS-FRAM, columnId=1277328386947150682, journalTitle=China Safety Science Journal, columnName=Safety Science Theories and Methods, runingTitle=null, highlight=null, articleAbstract=

In order to improve the systematicity and objectivity of safety risk identification in civil aviation ATC operations and to explore the causes and interaction relationships of ATC unsafe incidents, a causal analysis method for ATC unsafe incidents was proposed, integrating TM, HFACS, and FRAM. Firstly, TM technology was employed to perform text processing on unsafe incident reports, and high-frequency keywords related to ATC operation risks were extracted using the Term Frequency-Inverse Document Frequency (TF-IDF) method. Secondly, semantic attribution was conducted on these keywords, and an improved multi-level HFACS framework for ATC operations was constructed based on the characteristics of ATC work, and the corresponding risk factors were determined. Then, the interdependent relationships between various functional modules in the ATC operation system were analyzed by introducing FRAM to reveal the potential impact of interactions within the complex ATC system on incident occurrence. Finally, two cases of ATC unsafe incidents were investigated to analyze their risk causes. The results show that the proposed method effectively mines the interrelationships between multi-source causes and identifies multi-level risk causal factors, which verifies the effectiveness and scientific rigor of the method in multi-source data processing and complex causal structure mining.

, authors=Yike Li, Honghai Zhang**, Zongbei Shi, Wenqing Li, authorsList=Yike Li, Honghai Zhang, Zongbei Shi, Wenqing Li, authorCompany=null, correspAuthors=Honghai Zhang, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1281608056849019397, articleId=1281608055628476929, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于TM-HFACS-FRAM的管制运行不安全事件致因分析, columnId=1277328387270112092, journalTitle=中国安全科学学报, columnName=安全科学理论与方法, runingTitle=null, highlight=null, articleAbstract=

为提升民航空中交通管制(ATC)运行安全风险识别的系统性与客观性,挖掘管制运行不安全事件致因及其相互作用关系,提出一种融合文本挖掘(TM)、人因分析与分类系统(HFACS)方法以及功能共振分析法(FRAM)的管制运行不安全事件致因分析方法。首先,采用TM技术,从不安全事件报告进行文本处理,并通过词频-逆文档频率(TF-IDF)方法中提取与民航管制运行风险相关的高频关键词;其次,对关键词进行语义归属,基于民航管制运行工作特征,构建改进的管制运行HFACS多层级架构,并确定对应的风险因子;然后,引入FRAM分析管制运行系统中各个功能模块之间的相互依赖关系,揭示管制运行复杂系统中交互作用对事件发生的潜在影响;最后,面向2起管制运行不安全事件开展研究,分析其风险致因。结果表明:所提方法能有效挖掘多源致因之间的相互关系,识别多层风险致因因子,验证了该方法在多源数据处理、复杂致因结构挖掘中的有效性与科学性。

, authors=李一可, 张洪海教授**, 石宗北, 李雯清, authorsList=李一可, 张洪海教授, 石宗北, 李雯清, authorCompany=null, correspAuthors=张洪海教授, authorNote=

李一可(1997—),女,甘肃临夏人,博士研究生,主要研究方向为空中交通安全管理。E-mail:

, correspAuthorsNote=
** 张洪海(1979—),男,山东菏泽人,博士,教授,博士生导师,主要从事空中交通管理、通用航空及无人机管控等方面的研究。E-mail:
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李一可(1997—),女,甘肃临夏人,博士研究生,主要研究方向为空中交通安全管理。E-mail:

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李一可(1997—),女,甘肃临夏人,博士研究生,主要研究方向为空中交通安全管理。E-mail:

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基于TM-HFACS-FRAM的管制运行不安全事件致因分析
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李一可 , 张洪海教授 ** , 石宗北 , 李雯清
中国安全科学学报 | 安全科学理论与方法 2026,36(4): 38-48
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中国安全科学学报 |安全科学理论与方法 2026 , 36 (4) : 38 -48
基于TM-HFACS-FRAM的管制运行不安全事件致因分析
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李一可 , 张洪海教授** , 石宗北, 李雯清
作者信息
  • 南京航空航天大学 民航学院,江苏 南京 211106
通讯作者:
** 张洪海(1979—),男,山东菏泽人,博士,教授,博士生导师,主要从事空中交通管理、通用航空及无人机管控等方面的研究。E-mail:
作者简介:

李一可(1997—),女,甘肃临夏人,博士研究生,主要研究方向为空中交通安全管理。E-mail:

Causation analysis of air traffic control operational unsafe event based on TM-HFACS-FRAM
Yike Li , Honghai Zhang** , Zongbei Shi, Wenqing Li
Affiliations
  • College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 211106, China
出版时间: 2026-04-28 doi: 10.16265/j.cnki.issn1003-3033.2026.04.0635
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为提升民航空中交通管制(ATC)运行安全风险识别的系统性与客观性,挖掘管制运行不安全事件致因及其相互作用关系,提出一种融合文本挖掘(TM)、人因分析与分类系统(HFACS)方法以及功能共振分析法(FRAM)的管制运行不安全事件致因分析方法。首先,采用TM技术,从不安全事件报告进行文本处理,并通过词频-逆文档频率(TF-IDF)方法中提取与民航管制运行风险相关的高频关键词;其次,对关键词进行语义归属,基于民航管制运行工作特征,构建改进的管制运行HFACS多层级架构,并确定对应的风险因子;然后,引入FRAM分析管制运行系统中各个功能模块之间的相互依赖关系,揭示管制运行复杂系统中交互作用对事件发生的潜在影响;最后,面向2起管制运行不安全事件开展研究,分析其风险致因。结果表明:所提方法能有效挖掘多源致因之间的相互关系,识别多层风险致因因子,验证了该方法在多源数据处理、复杂致因结构挖掘中的有效性与科学性。

文本挖掘(TM)  /  人因分析与分类系统(HFACS)  /  功能共振分析法(FRAM)  /  管制运行  /  不安全事件  /  致因分析

In order to improve the systematicity and objectivity of safety risk identification in civil aviation ATC operations and to explore the causes and interaction relationships of ATC unsafe incidents, a causal analysis method for ATC unsafe incidents was proposed, integrating TM, HFACS, and FRAM. Firstly, TM technology was employed to perform text processing on unsafe incident reports, and high-frequency keywords related to ATC operation risks were extracted using the Term Frequency-Inverse Document Frequency (TF-IDF) method. Secondly, semantic attribution was conducted on these keywords, and an improved multi-level HFACS framework for ATC operations was constructed based on the characteristics of ATC work, and the corresponding risk factors were determined. Then, the interdependent relationships between various functional modules in the ATC operation system were analyzed by introducing FRAM to reveal the potential impact of interactions within the complex ATC system on incident occurrence. Finally, two cases of ATC unsafe incidents were investigated to analyze their risk causes. The results show that the proposed method effectively mines the interrelationships between multi-source causes and identifies multi-level risk causal factors, which verifies the effectiveness and scientific rigor of the method in multi-source data processing and complex causal structure mining.

text mining (TM)  /  human factors analysis and classification system (HFACS)  /  functional resonance analysis method (FRAM)  /  air traffic control(ATC) operation  /  unsafe event  /  causation analysis
李一可, 张洪海教授, 石宗北, 李雯清. 基于TM-HFACS-FRAM的管制运行不安全事件致因分析. 中国安全科学学报, 2026 , 36 (4) : 38 -48 . DOI: 10.16265/j.cnki.issn1003-3033.2026.04.0635
Yike Li, Honghai Zhang, Zongbei Shi, Wenqing Li. Causation analysis of air traffic control operational unsafe event based on TM-HFACS-FRAM[J]. China Safety Science Journal, 2026 , 36 (4) : 38 -48 . DOI: 10.16265/j.cnki.issn1003-3033.2026.04.0635
  • 国家自然科学基金资助(U2133207)
  • 中国工业和信息化部民用飞机专项科研(MJZ1-7N22)
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doi: 10.16265/j.cnki.issn1003-3033.2026.04.0635
  • 接收时间:2025-10-14
  • 首发时间:2026-07-08
  • 出版时间:2026-04-28
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  • 收稿日期:2025-10-14
  • 修回日期:2026-01-04
基金
国家自然科学基金资助(U2133207)
中国工业和信息化部民用飞机专项科研(MJZ1-7N22)
作者信息
    南京航空航天大学 民航学院,江苏 南京 211106

通讯作者:

** 张洪海(1979—),男,山东菏泽人,博士,教授,博士生导师,主要从事空中交通管理、通用航空及无人机管控等方面的研究。E-mail:
参考文献
分享链接
https://castjournals.cast.org.cn/joweb/zgaqkxxb/CN/10.16265/j.cnki.issn1003-3033.2026.04.0635
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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