Article(id=1282030085511299809, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.08.0376, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1744387200000, receivedDateStr=2025-04-12, revisedDate=1749916800000, revisedDateStr=2025-06-15, acceptedDate=null, acceptedDateStr=null, onlineDate=1783589391353, onlineDateStr=2026-07-09, pubDate=1756310400000, pubDateStr=2025-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783589391353, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783589391353, creator=13701087609, updateTime=1783589391353, updator=13701087609, issue=Issue{id=1282030021623657005, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='8', pageStart='1', pageEnd='276', issueExtLink='null', onlineDate='null', pubDate='1756310400000', pubDateStr='2025-08-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783589376121, creator='13701087609', updateTime=1783589731222, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282031511155228698, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282031511155228699, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=205, endPage=212, ext={EN=ArticleExt(id=1282030085708432098, articleId=1282030085511299809, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Analysis of coupling mechanisms and prevention strategies for community fire risk factors, columnId=1149733270084042840, journalTitle=China Safety Science Journal, columnName=Public safety, runingTitle=null, highlight=null, articleAbstract=
Community fires exhibit high incidence rates and interconnected risk factors. To establish an effective fire prevention and control system aligned with community risk profiles, a hybrid SNA/N-K model was constructed to calculate risk coupling values and network centrality metrics. By adjusting the out-degree values of closeness centrality using coupling values, critical risk factors were identified, providing evidence-based decision-making insights for community fire prevention. Key findings reveal that management deficiencies dominate risk coupling dynamics. An increase coupling factors significantly elevates community fire risk levels. The top three critical risk factors are failure to investigate fire hazards as required, inadequate safety awareness and knowledge of residents and absence of regular fire safety education. Based on this research, a "three-dimensional four-stage" community fire safety management model is proposed. From the dimensions of institutional optimization, technological empowerment and behavioral intervention, a comprehensive strategy is formulated to decouple and interrupt risk coupling chains in community fire prevention and control, encompassing the full cycle of prevention, early warning, response, and recovery. This study contributes a theoretical framework and empirical intervention pathways for community fire risk mitigation, offering actionable guidance for policymakers and practitioners.
, authors=Pengxia ZHAO
1, 2, Tie LI
**, 1, Ruipeng TONG
3, Baoqian DAI
2, authorsList=Pengxia ZHAO, Tie LI, Ruipeng TONG, Baoqian DAI, authorCompany=null, correspAuthors=Tie LI, 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=1282030086153028325, articleId=1282030085511299809, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=社区火灾风险因素耦合机制分析与防控策略研究, columnId=1149733271510106222, journalTitle=中国安全科学学报, columnName=公共安全, runingTitle=null, highlight=null, articleAbstract=
为建立有效且契合社区风险特征的火灾防控体系,以105起社区火灾案例为样本,将风险因素归纳为人的不安全行为、物的不安全状态和不良环境条件及管理缺陷,构建社会网络分析(SNA)/N-K模型,通过计算风险耦合值与网络中心性指标,以耦合值修正亲近中心性的出度值,识别关键风险因素。研究结果表明:管理缺陷风险因素是驱动风险耦合的主导维度;耦合因素数量增多会显著影响社区火灾风险水平;排名前3的关键风险因素依次为:未按要求开展社区火灾隐患巡查,居民安全意识、知识与素养薄弱,没有定期向居民普及消防知识。基于此提出的“3维4阶”社区火灾防控模型,可从制度优化、技术赋能与行为干预3个维度,构建涵盖预防、预警、处置、恢复全周期的社区火灾风险耦合断链策略。
, authors=赵鹏霞
副研究员1, 2, 李铁
教授**, 1, 佟瑞鹏
教授3, 代宝乾
研究员2, authorsList=赵鹏霞
副研究员, 李铁
教授, 佟瑞鹏
教授, 代宝乾
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赵鹏霞(1984—),女,山西运城人,博士研究生,副研究员,研究方向为城市安全风险评估与韧性提升等。E-mail:zhaopengxia1984@126.com。
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赵鹏霞(1984—),女,山西运城人,博士研究生,副研究员,研究方向为城市安全风险评估与韧性提升等。E-mail:zhaopengxia1984@126.com。
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