Article(id=1281685621102056114, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281685530169545672, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.06.1136, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1739548800000, receivedDateStr=2025-02-15, revisedDate=1744992000000, revisedDateStr=2025-04-19, acceptedDate=null, acceptedDateStr=null, onlineDate=1783507264637, onlineDateStr=2026-07-08, pubDate=1751040000000, pubDateStr=2025-06-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783507264637, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783507264637, creator=13701087609, updateTime=1783507264637, updator=13701087609, issue=Issue{id=1281685530169545672, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='6', pageStart='1', pageEnd='252', issueExtLink='null', onlineDate='null', pubDate='1751040000000', pubDateStr='2025-06-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783507242958, creator='13701087609', updateTime=1783589309504, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282029742274622413, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281685530169545672, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282029742274622414, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281685530169545672, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=191, endPage=199, ext={EN=ArticleExt(id=1281685622754611891, articleId=1281685621102056114, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Analysis of emergency organization collaboration and network evolution from perspective of disaster chain, columnId=1149735802789348081, journalTitle=China Safety Science Journal, columnName=Technology and engineering of disaster prevention and mitigation, runingTitle=null, highlight=null, articleAbstract=

To clarify the role of the emergency organization in breaking the disaster chain during the execution of emergency tasks and describe the evolution process of the collaborative network, taking the Shulan rainstorm in 2023 as an example, emergency task was regarded as the bridge connecting the disaster event and the emergency organization. The topological structure of the rainstorm disaster chain network and emergency organization network was analyzed. The effect of collaborative network was measured by taking the total amount of vulnerability reduction at the edges of the disaster network controlled by emergency organizations at each stage during the execution of tasks as the standard. The results indicate that disaster events caused by heavy rain exhibit high clustering effects, significant mutual influence, and short disaster paths. In the emergency organization network, most highly centralized organizations are government entities, which have strong capabilities to directly interact with other nodes. By contrast, organizations with low centrality, primarily enterprises and social organizations, tend to be more independent from other nodes. Each emergency organization can coordinate and control critical disaster events and disaster chains with greater vulnerability. In the stage of clearing and resettlement, the number of emergency tasks, disaster-response organizations, and broken chains is the highest, and the total amount of edge vulnerability reduction is also the greatest. By contrast, during the stages of emergency rescue, recovery and reconstruction, early warning and response phases, edge vulnerability reduction decreases sequentially.

, authors=Ting LEI, Xiaojing HUI**, authorsList=Ting LEI, Xiaojing HUI, authorCompany=null, correspAuthors=Xiaojing HUI, 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=1281685623169847990, articleId=1281685621102056114, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=灾害链视角下应急组织协同与网络演化分析, columnId=1149735802885817075, journalTitle=中国安全科学学报, columnName=防灾减灾技术与工程, runingTitle=null, highlight=null, articleAbstract=

为明确应急组织在执行应急任务的过程中所起的断链作用,描述协同网络的演化过程,以2023年舒兰暴雨为例,将应急任务视为联结灾害事件与应急组织的桥梁,研究暴雨灾害链网络与应急组织网络的拓扑结构;同时以各阶段应急组织在执行任务时所控制的灾害网络中边的脆弱度降低总量作为标准,衡量协同网络运行效果。结果表明:暴雨引发的灾害事件具有高群聚效应、相互影响显著、致灾路径较短等特点。在应急组织网络中,中心度较高的组织大部分为政府组织,与其他节点直接互动的能力较强;而中心度较低的组织大部分为企业组织与社会组织,相对独立于其他节点。各应急组织能够协同管控关键灾害事件与脆弱度较大的灾害链,其中,在清理安置阶段,应急任务、应急组织、断链数量均最多,边的脆弱度降低总量最大,在应急救援阶段、恢复重建阶段、预警响应阶段,边的脆弱度降低总量依次递减。

, authors=雷婷副教授, 回晓靖**, authorsList=雷婷副教授, 回晓靖, authorCompany=null, correspAuthors=回晓靖, authorNote=

雷婷(1985—),女,陕西渭南人,博士,副教授,主要从事应急管理、风险决策等方面的研究。E-mail:

, correspAuthorsNote=
** 回晓靖(2000—),女,河北沧州人,硕士研究生,研究方向为应急管理。E-mail:
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雷婷(1985—),女,陕西渭南人,博士,副教授,主要从事应急管理、风险决策等方面的研究。E-mail:

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雷婷(1985—),女,陕西渭南人,博士,副教授,主要从事应急管理、风险决策等方面的研究。E-mail:

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灾害链视角下应急组织协同与网络演化分析
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雷婷副教授 , 回晓靖 **
中国安全科学学报 | 防灾减灾技术与工程 2025,35(6): 191-199
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中国安全科学学报 |防灾减灾技术与工程 2025 , 35 (6) : 191 -199
灾害链视角下应急组织协同与网络演化分析
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雷婷副教授 , 回晓靖**
作者信息
  • 北方民族大学 商学院,宁夏 银川 750021
通讯作者:
** 回晓靖(2000—),女,河北沧州人,硕士研究生,研究方向为应急管理。E-mail:
作者简介:

雷婷(1985—),女,陕西渭南人,博士,副教授,主要从事应急管理、风险决策等方面的研究。E-mail:

Analysis of emergency organization collaboration and network evolution from perspective of disaster chain
Ting LEI , Xiaojing HUI**
Affiliations
  • School of Business, North Minzu University, Yinchuan Ningxia 750021, China
出版时间: 2025-06-28 doi: 10.16265/j.cnki.issn1003-3033.2025.06.1136
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为明确应急组织在执行应急任务的过程中所起的断链作用,描述协同网络的演化过程,以2023年舒兰暴雨为例,将应急任务视为联结灾害事件与应急组织的桥梁,研究暴雨灾害链网络与应急组织网络的拓扑结构;同时以各阶段应急组织在执行任务时所控制的灾害网络中边的脆弱度降低总量作为标准,衡量协同网络运行效果。结果表明:暴雨引发的灾害事件具有高群聚效应、相互影响显著、致灾路径较短等特点。在应急组织网络中,中心度较高的组织大部分为政府组织,与其他节点直接互动的能力较强;而中心度较低的组织大部分为企业组织与社会组织,相对独立于其他节点。各应急组织能够协同管控关键灾害事件与脆弱度较大的灾害链,其中,在清理安置阶段,应急任务、应急组织、断链数量均最多,边的脆弱度降低总量最大,在应急救援阶段、恢复重建阶段、预警响应阶段,边的脆弱度降低总量依次递减。

暴雨灾害链  /  应急组织  /  协同网络  /  应急任务  /  灾害事件

To clarify the role of the emergency organization in breaking the disaster chain during the execution of emergency tasks and describe the evolution process of the collaborative network, taking the Shulan rainstorm in 2023 as an example, emergency task was regarded as the bridge connecting the disaster event and the emergency organization. The topological structure of the rainstorm disaster chain network and emergency organization network was analyzed. The effect of collaborative network was measured by taking the total amount of vulnerability reduction at the edges of the disaster network controlled by emergency organizations at each stage during the execution of tasks as the standard. The results indicate that disaster events caused by heavy rain exhibit high clustering effects, significant mutual influence, and short disaster paths. In the emergency organization network, most highly centralized organizations are government entities, which have strong capabilities to directly interact with other nodes. By contrast, organizations with low centrality, primarily enterprises and social organizations, tend to be more independent from other nodes. Each emergency organization can coordinate and control critical disaster events and disaster chains with greater vulnerability. In the stage of clearing and resettlement, the number of emergency tasks, disaster-response organizations, and broken chains is the highest, and the total amount of edge vulnerability reduction is also the greatest. By contrast, during the stages of emergency rescue, recovery and reconstruction, early warning and response phases, edge vulnerability reduction decreases sequentially.

rainstorm disaster chain  /  emergency organization  /  collaborative network  /  emergency task  /  disaster event
雷婷副教授, 回晓靖. 灾害链视角下应急组织协同与网络演化分析. 中国安全科学学报, 2025 , 35 (6) : 191 -199 . DOI: 10.16265/j.cnki.issn1003-3033.2025.06.1136
Ting LEI, Xiaojing HUI. Analysis of emergency organization collaboration and network evolution from perspective of disaster chain[J]. China Safety Science Journal, 2025 , 35 (6) : 191 -199 . DOI: 10.16265/j.cnki.issn1003-3033.2025.06.1136
  • 国家社会科学基金资助(21XMZ050)
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doi: 10.16265/j.cnki.issn1003-3033.2025.06.1136
  • 接收时间:2025-02-15
  • 首发时间:2026-07-08
  • 出版时间:2025-06-28
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  • 收稿日期:2025-02-15
  • 修回日期:2025-04-19
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国家社会科学基金资助(21XMZ050)
作者信息
    北方民族大学 商学院,宁夏 银川 750021

通讯作者:

** 回晓靖(2000—),女,河北沧州人,硕士研究生,研究方向为应急管理。E-mail:
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2种不同金属材料的力学参数

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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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