Article(id=1281616715725378133, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.02.1492, 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=1766419200000, revisedDateStr=2025-12-23, acceptedDate=null, acceptedDateStr=null, onlineDate=1783490836315, onlineDateStr=2026-07-08, pubDate=1772208000000, pubDateStr=2026-02-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783490836315, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783490836315, creator=13701087609, updateTime=1783490836315, updator=13701087609, issue=Issue{id=1281616655499366465, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='2', pageStart='1', pageEnd='270', issueExtLink='null', onlineDate='null', pubDate='1772208000000', pubDateStr='2026-02-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783490821957, creator='13701087609', updateTime=1783588693138, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282027157069218127, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282027157069218128, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281616655499366465, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=199, endPage=208, ext={EN=ArticleExt(id=1281616715905733206, articleId=1281616715725378133, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Evaluation of emergency management capability for construction safety accidents based on FRAM-BN, columnId=1277328338121261909, journalTitle=China Safety Science Journal, columnName=Public Safety and Emergency Management, runingTitle=null, highlight=null, articleAbstract=

To scientifically evaluate and enhance construction enterprises' emergency management capabilities for sudden safety incidents, a comprehensive model integrating qualitative analysis and qunatitative evaluation was proposed, addressing the limitations of traditional static assessment methods, which struggle to capture functional coupling and are easily influenced by subiective weighting. First, based on the theory of balanced emergency management throughout the entire process, a complete evaluation indicators system was established by dentifying 12 secondary indicators across four stages, including preparation and prevention, monitoring and early warning, response and disposal, and recovery and learning, and integrating the trajectory intersection theory and catastrophe theory. Subsequently, FRAM was employed to identify key functions and coupling paths among these indicators. An evaluation model was then developed by integrating an improved K-shell algorithm with BN. Finally, the model was applied to a practical engineering case and its effectiveness was validated through expert review and scenario simulations. The results demonstrate that the selected construction enterprise has a comprehensive emergency management capability of 81.682%, indicating its emergency mechanism can effectively respond to and handle various construction safety incidents. Among the capabilities, recovery and learning performs best (90.855%), while monitoring and early warning remains relatively weak (76.616%). Sensitivity analysis shows that professional team development (F₃) and on-site command decision-making (F₇) contributed most significantly to the overall capability.

, authors=Zhijian LI^{1, 2}, Jianjun SHE^{**, 1, 2}, Cong LU^{1, 2}, Zihao GUO^{1, 2}, Yilun ZHOU³, authorsList=Zhijian LI, Jianjun SHE, Cong LU, Zihao GUO, Yilun ZHOU, authorCompany=null, correspAuthors=Jianjun SHE, 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=1281616717868667481, articleId=1281616715725378133, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于FRAM-BN的施工安全突发事件应急管理能力评价, columnId=1277328338280645463, journalTitle=中国安全科学学报, columnName=公共安全与应急管理, runingTitle=null, highlight=null, articleAbstract=

为科学评估并提升建筑企业对突发安全事件的应急管理能力，针对既有静态评估难以刻画功能耦合且易受主观赋权影响的问题，提出一种融合定性分析与定量评估的综合模型。首先，基于应急管理全过程均衡理论，从准备与预防、监测与预警、响应与处置、恢复与学习4个阶段，结合轨迹交叉理论与突变理论，提炼12个二级指标，建立完整的评价指标体系；其次，采用功能共振分析法（FRAM）识别各指标关键功能与耦合路径，结合改进K-shell算法与贝叶斯网络（BN）建立应评估模型；最后，在实际工程案例中进行应用，并通过专家复核与情景模拟验证其有效性。结果表明：所选建筑企业综合应急管理能力为81.682%，其应急机制能够有效响应并处置各类施工安全突发事件。其中，恢复与学习能力表现最佳（90.855%），而监测与预警能力相对薄弱（76.616%）。敏感性结果显示，专业队伍建设F₃与现场指挥决策F₇对综合能力贡献较为显著。

, authors=李知键^{1, 2}, 佘健俊教授^{**, 1, 2}, 路聪^{1, 2}, 郭子豪^{1, 2}, 周逸伦³, authorsList=李知键, 佘健俊教授, 路聪, 郭子豪, 周逸伦, authorCompany=null, correspAuthors=佘健俊教授, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=5gSl/NVCGLMKo63WLCcKOA==, magXml=SWWdJESky/TdXMckko14eQ==, pdfUrl=null, pdf=L2W1NVJP4R1Njx7P8giTHQ==, pdfFileSize=8236625, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=qbPUmkRdNfdsmRq0Hffdgw==, mapNumber=null, fund=null)}, authors=[Author(id=1281616718371983972, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616715725378133, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=lizhijian@njtech.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1281616718481035879, tenantId=1146029695717560320, journalId=1146031787341344770, articleId=1281616715725378133, authorId=1281616718371983972, language=EN, stringName=Zhijian LI, firstName=Zhijian, middleName=null, lastName=LI, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=^{1, 2}, address=¹School of Civil Engineering, Nanjing Tech University, Nanjing Jiangsu 211816, China
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²中建-南工智慧建造研究中心，江苏 南京 211816, bio={"content":"

李知键（1999—），男，四川南充人，博士研究生，研究方向为应急管理、安全科学与减灾。E-mail: lizhijian@njtech.edu.cn。

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李知键（1999—），男，四川南充人，博士研究生，研究方向为应急管理、安全科学与减灾。E-mail: lizhijian@njtech.edu.cn。

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