Article(id=1281683210459394189, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281683189131359212, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.05.0981, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1734192000000, receivedDateStr=2024-12-15, revisedDate=1739462400000, revisedDateStr=2025-02-14, acceptedDate=null, acceptedDateStr=null, onlineDate=1783506689895, onlineDateStr=2026-07-08, pubDate=1748361600000, pubDateStr=2025-05-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783506689895, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783506689895, creator=13701087609, updateTime=1783506689895, updator=13701087609, issue=Issue{id=1281683189131359212, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='5', pageStart='1', pageEnd='268', issueExtLink='null', onlineDate='null', pubDate='1748361600000', pubDateStr='2025-05-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783506684811, creator='13701087609', updateTime=1783589333681, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282029843684504545, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281683189131359212, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282029843684504546, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281683189131359212, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=246, endPage=254, ext={EN=ArticleExt(id=1281683211101122702, articleId=1281683210459394189, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Evolution of synergistic network among urban emergency organizations responding to natural disasters, columnId=1149733268699918866, journalTitle=China Safety Science Journal, columnName=Emergency technology and management, runingTitle=null, highlight=null, articleAbstract=

To analyze the synergistic relationship among urban emergency organizations during institutional reforms, 24 natural disaster-specific emergency plans from Xi'an city were used as the data sample. Social network analysis was employed to examine the coordination and collaboration between departments involved in emergency response, mitigation, and rescue during natural disasters. From a temporal perspective, the dynamic changes in the network structure were explored, and the characteristics of indicators such as density, centralization, and average distance were assessed. Using a "coherence and constraint" two-dimensional framework, institutional roles were classified and analyzed from three dimensions: institutional characteristics, functional positioning, and organizational structure. The CONCOR(Convergence of Iterated Correlation) algorithm and E-I index method were applied to depict the internal logic of network governance structures and the evolution of organizational relationships. The results show that the concentration of the emergency organization collaborative network increased from 0.577 6 to 0.723 5 after the institutional reform, indicating that the network structure shifts from a decentralized network with loose collaboration among multiple entities to a tightly-knit network centered around the Xi'an Bureau of Emergency Management. The highest core degree of institutions increases from 0.342 to 0.369, while the lowest constraint degree decreases from 0.166 to 0.087, reflecting a trend toward the unification of command responsibilities. The network organization follows a core-periphery governance structure, with the boundaries between core and peripheral organizations becoming increasingly clear and reinforced.

, authors=Hua LI, Le BAI**, Yuheng SHEN, authorsList=Hua LI, Le BAI, Yuheng SHEN, authorCompany=null, correspAuthors=Le BAI, 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=1281683211692519567, articleId=1281683210459394189, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=应对自然灾害的城市应急组织协同网络演变, columnId=1149733268855108116, journalTitle=中国安全科学学报, columnName=应急技术与管理, runingTitle=null, highlight=null, articleAbstract=

为剖析机构改革历程中城市应急组织的协同关系,首先,以西安市24部自然灾害类专项应急预案为数据样本,引入社会网络分析法(SNA)分析参与自然灾害应急响应、处置和救助的相关部门协同联动状态;然后,从时序视角探究网络结构的动态变化轨迹,判定密度、集中度、平均距离等指标特性;最后,以“核心度-限制度”二维框架划分机构角色,从机构特征、功能定位、组建模式3个维度分析机构角色变迁历程;采用迭代相关收敛(CONCOR)算法和E-I指数分析法刻画网络治理结构的内在逻辑和组织关系的演进趋势。结果表明:经过机构改革,应急组织协同网络集中度由0.577 6增至0.723 5,表明网络结构由多主体松散协作的离散型网络,转变为以市应急管理局为核心的紧密型网络;机构最高核心度由0.342增至0.369,最低限制度由0.166降至0.087,表明演变趋势呈现出指挥职责统一化的特点;网络组织遵循核心-边缘的治理结构,核心组织与边缘组织的界限日益清晰与强化。

, authors=李华副教授, 白乐**, 申宇恒, authorsList=李华副教授, 白乐, 申宇恒, authorCompany=null, correspAuthors=白乐, authorNote=

李华(1979—),女,陕西西安人,博士,副教授,硕士生导师,主要从事企业风险评估与安全管理、建筑安全监测与监控、公共安全与应急管理等方面的研究。E-mail:

, correspAuthorsNote=
** 白乐(2000—),男,陕西榆林人,硕士研究生,主要研究方向为公共安全与应急管理。E-mail:
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李华(1979—),女,陕西西安人,博士,副教授,硕士生导师,主要从事企业风险评估与安全管理、建筑安全监测与监控、公共安全与应急管理等方面的研究。E-mail:

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李华(1979—),女,陕西西安人,博士,副教授,硕士生导师,主要从事企业风险评估与安全管理、建筑安全监测与监控、公共安全与应急管理等方面的研究。E-mail:

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应对自然灾害的城市应急组织协同网络演变
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李华副教授 , 白乐 ** , 申宇恒
中国安全科学学报 | 应急技术与管理 2025,35(5): 246-254
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中国安全科学学报 |应急技术与管理 2025 , 35 (5) : 246 -254
应对自然灾害的城市应急组织协同网络演变
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李华副教授 , 白乐** , 申宇恒
作者信息
  • 西安建筑科技大学 资源工程学院,陕西 西安 710055
通讯作者:
** 白乐(2000—),男,陕西榆林人,硕士研究生,主要研究方向为公共安全与应急管理。E-mail:
作者简介:

李华(1979—),女,陕西西安人,博士,副教授,硕士生导师,主要从事企业风险评估与安全管理、建筑安全监测与监控、公共安全与应急管理等方面的研究。E-mail:

Evolution of synergistic network among urban emergency organizations responding to natural disasters
Hua LI , Le BAI** , Yuheng SHEN
Affiliations
  • School of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an Shaanxi 710055, China
出版时间: 2025-05-28 doi: 10.16265/j.cnki.issn1003-3033.2025.05.0981
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为剖析机构改革历程中城市应急组织的协同关系,首先,以西安市24部自然灾害类专项应急预案为数据样本,引入社会网络分析法(SNA)分析参与自然灾害应急响应、处置和救助的相关部门协同联动状态;然后,从时序视角探究网络结构的动态变化轨迹,判定密度、集中度、平均距离等指标特性;最后,以“核心度-限制度”二维框架划分机构角色,从机构特征、功能定位、组建模式3个维度分析机构角色变迁历程;采用迭代相关收敛(CONCOR)算法和E-I指数分析法刻画网络治理结构的内在逻辑和组织关系的演进趋势。结果表明:经过机构改革,应急组织协同网络集中度由0.577 6增至0.723 5,表明网络结构由多主体松散协作的离散型网络,转变为以市应急管理局为核心的紧密型网络;机构最高核心度由0.342增至0.369,最低限制度由0.166降至0.087,表明演变趋势呈现出指挥职责统一化的特点;网络组织遵循核心-边缘的治理结构,核心组织与边缘组织的界限日益清晰与强化。

自然灾害  /  城市应急组织  /  协同网络  /  社会网络分析法(SNA)  /  应急预案

To analyze the synergistic relationship among urban emergency organizations during institutional reforms, 24 natural disaster-specific emergency plans from Xi'an city were used as the data sample. Social network analysis was employed to examine the coordination and collaboration between departments involved in emergency response, mitigation, and rescue during natural disasters. From a temporal perspective, the dynamic changes in the network structure were explored, and the characteristics of indicators such as density, centralization, and average distance were assessed. Using a "coherence and constraint" two-dimensional framework, institutional roles were classified and analyzed from three dimensions: institutional characteristics, functional positioning, and organizational structure. The CONCOR(Convergence of Iterated Correlation) algorithm and E-I index method were applied to depict the internal logic of network governance structures and the evolution of organizational relationships. The results show that the concentration of the emergency organization collaborative network increased from 0.577 6 to 0.723 5 after the institutional reform, indicating that the network structure shifts from a decentralized network with loose collaboration among multiple entities to a tightly-knit network centered around the Xi'an Bureau of Emergency Management. The highest core degree of institutions increases from 0.342 to 0.369, while the lowest constraint degree decreases from 0.166 to 0.087, reflecting a trend toward the unification of command responsibilities. The network organization follows a core-periphery governance structure, with the boundaries between core and peripheral organizations becoming increasingly clear and reinforced.

natural disasters  /  urban emergency organization  /  synergistic network  /  social network analysis(SNA)  /  emergency plan
李华副教授, 白乐, 申宇恒. 应对自然灾害的城市应急组织协同网络演变. 中国安全科学学报, 2025 , 35 (5) : 246 -254 . DOI: 10.16265/j.cnki.issn1003-3033.2025.05.0981
Hua LI, Le BAI, Yuheng SHEN. Evolution of synergistic network among urban emergency organizations responding to natural disasters[J]. China Safety Science Journal, 2025 , 35 (5) : 246 -254 . DOI: 10.16265/j.cnki.issn1003-3033.2025.05.0981
  • 陕西省社科界重大理论与现实问题研究联合项目(20YJ-12)
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doi: 10.16265/j.cnki.issn1003-3033.2025.05.0981
  • 接收时间:2024-12-15
  • 首发时间:2026-07-08
  • 出版时间:2025-05-28
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  • 收稿日期:2024-12-15
  • 修回日期:2025-02-14
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陕西省社科界重大理论与现实问题研究联合项目(20YJ-12)
作者信息
    西安建筑科技大学 资源工程学院,陕西 西安 710055

通讯作者:

** 白乐(2000—),男,陕西榆林人,硕士研究生,主要研究方向为公共安全与应急管理。E-mail:
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2种不同金属材料的力学参数

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小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
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