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In order to effectively prevent the occurrence of civil aviation maintenance related events, a sample of 2 687 voluntary reports from the US Aviation Safety Reporting System (ASRS) database (2001-2023) was examined. Fourteen risk factors, including work environment and human factors, were analyzed using CiteSpace. Strong couplings between these factors were identified through UCINET and Gephi. The results show the following findings: Among the nine single risk factors, key risks are identified as landing gear system malfunctions, poor lighting, and rain (with frequencies of 103, 64, and 45, respectively). Among the five coupled risk factors, key risks are found to be airframe maintenance, communication breakdown, and human factors (with co-occurrence frequencies of 1 646, 1 448, and 1 206, respectively). The analysis of all risk factor couplings reveals that the strongest coupling exists between airframe maintenance and powerplant maintenance (with a weight value of 3 568). Additionally, a significant coupling relationship is observed between procedures and improper landing gear system operations (with a weight value of 118).

, authors=Junjie LIU, Junfeng HE, authorsList=Junjie LIU, Junfeng HE, authorCompany=null, correspAuthors=Junfeng HE, 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=1282034749631874041, articleId=1282034749090808823, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=机务维修人员自愿报告事件风险因素分析, columnId=1149733271296193071, journalTitle=中国安全科学学报, columnName=安全社会科学与安全管理, runingTitle=null, highlight=null, articleAbstract=

为有效防范民航机务相关事件的发生，以2001—2023年美国航空安全报告系统（ASRS）数据库2 687起机务维修人员自愿报告事件为样本，采用CiteSpace等软件分析工作环境因素、人的因素等14类风险因素，运用UCINET、Gephi等软件挖掘各因素间强耦合关系。结果表明：在9类单风险因素中，起落架系统运行故障、光线不足、雨等（频数分别为103、64、45）为关键风险因素；在5类耦合风险因素中，机身维护、沟通中断、人的因素等（共现频次分别为1 646、1 448、1 206）为关键风险因素；全风险因素耦合关系分析发现，机身维护与动力装置维护耦合程度（权重值为3 568）最强，程序与起落架系统不当操作有较强的耦合关系（权重值为118）。

, authors=刘俊杰副教授, 贺俊锋, authorsList=刘俊杰副教授, 贺俊锋, authorCompany=null, correspAuthors=贺俊锋, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=HALXzgpUF0PrfNJ83rI13A==, magXml=zIxqE4HUj6Ijp93naaIMSQ==, pdfUrl=null, pdf=qynVctiWF7t7NK7DUbIkvQ==, pdfFileSize=7940486, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=H56PVm32x3xTPN7/Qr79fw==, mapNumber=null, fund=null)}, authors=[Author(id=1282034750680450046, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282034749090808823, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=13132039969@126.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1282034752333004800, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282034749090808823, authorId=1282034750680450046, language=EN, stringName=Junjie LIU, firstName=Junjie, middleName=null, lastName=LIU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=School of Safety Science and Engineering, Civil Aviation University of China, Tianjin 300300, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1282034752442056705, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1282034749090808823, authorId=1282034750680450046, language=CN, stringName=刘俊杰副教授, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=中国民航大学 安全科学与工程学院，天津 300300, bio={"content":"

刘俊杰（1971—），女，天津人，硕士，副教授，主要从事民航安全、人为因素、飞行性能等方面的研究。E-mail:13132039969@126.com。

"}, bioImg=null, bioContent=

刘俊杰（1971—），女，天津人，硕士，副教授，主要从事民航安全、人为因素、飞行性能等方面的研究。E-mail:13132039969@126.com。

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