Article(id=1282030037780119912, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282030021623657005, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.08.0277, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1744128000000, receivedDateStr=2025-04-09, revisedDate=1749657600000, revisedDateStr=2025-06-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1783589379973, onlineDateStr=2026-07-09, pubDate=1756310400000, pubDateStr=2025-08-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783589379973, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783589379973, creator=13701087609, updateTime=1783589379973, 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=14, endPage=21, ext={EN=ArticleExt(id=1282030039533338985, articleId=1282030037780119912, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Evolution model and mechanism of work safety governance system, columnId=1149735801703023337, journalTitle=China Safety Science Journal, columnName=Safety science theory and safety system science, runingTitle=null, highlight=null, articleAbstract=

In order to promote the development of theories on the modernization of work safety governance, a four-dimensional model of the work safety governance system—comprising governance actors, governance rules, governance tools, and governance resources—was constructed based on systems theory and governance theory. Using CAS theory, seven fundamental characteristics—aggregation, nonlinearity, flow, diversity, tagging, internal models, and building blocks—were analyzed. Furthermore, by integrating fitness landscape theory and the NK fitness landscape model, an NK landscape model for the evolution of the work safety governance system was developed, revealing 16 state combinations of the system's genetic morphology (A-R-T-S) and their fitness distributions. The results indicate that the system's evolution follows a three-stage mechanism: Initial Stage: Random walk and low-state locking → Development Stage: Adaptive walk and local coordination limitations → Maturity Stage: Adaptive leap and deep coordination. Empirical analysis indicates that the evolution of China's work safety governance system encompasses three periods with corresponding mechanisms: the System Initial Establishment Period (1978—2002), the System Improvement Period (2003—2012), and the System Modernization Advancing Period (2012—2024).

, authors=Yigui ZHAO1, 2, Mengyao WANG3, Qinglu DENG1, Hailin GUO**, 1, authorsList=Yigui ZHAO, Mengyao WANG, Qinglu DENG, Hailin GUO, authorCompany=null, correspAuthors=Hailin GUO, 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=1282030040091181420, articleId=1282030037780119912, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=安全生产治理系统演化模型及机制, columnId=1149735801837241068, journalTitle=中国安全科学学报, columnName=安全科学理论与安全系统科学, runingTitle=null, highlight=null, articleAbstract=

为推动安全生产治理现代化理论发展,基于系统理论与治理理论,构建包含治理主体、治理规则、治理工具、治理资源的安全生产治理系统要素模型,通过复杂适应系统(CAS)理论分析聚集、非线性、流、多样性、标识、内部模型和积木7个基本特性,进一步结合适应度景观理论和NK模型,构建安全生产治理系统演化的NK景观模型,揭示系统基因形态(A-R-T-S)的16种状态组合及其适应度分布。结果表明:安全生产治理系统由治理主体、治理规则、治理工具及治理资源4个要素构成,具备复杂适应系统的特性;系统演化遵循“初建阶段:随机性游走和低状态锁定→发展阶段:适应性游走和局部协同局限→成熟阶段:适应性跳跃和深度协同”3阶段机制;我国安全生产治理系统演化涵盖系统初建期(1978—2002年)、系统完善期(2003—2012年)、系统现代化推进期(2012—2024年)3个阶段和相应机制。

, authors=赵一归教授级高级工程师1, 2, 王梦瑶3, 邓清禄教授1, 郭海林副教授**, 1, authorsList=赵一归教授级高级工程师, 王梦瑶, 邓清禄教授, 郭海林副教授, authorCompany=null, correspAuthors=郭海林副教授, authorNote=

赵一归(1974—),男,辽宁普兰店人,博士研究生,教授级高级工程师,主要研究方向为安全系统工程、安全风险管理、安全生产战略规划等。E-mail:

, correspAuthorsNote=
** 郭海林(1973—),男,河北唐山人,博士,副教授,主要从事安全风险分析与智能化管控技术方面的研究。E-mail:
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赵一归(1974—),男,辽宁普兰店人,博士研究生,教授级高级工程师,主要研究方向为安全系统工程、安全风险管理、安全生产战略规划等。E-mail:

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赵一归(1974—),男,辽宁普兰店人,博士研究生,教授级高级工程师,主要研究方向为安全系统工程、安全风险管理、安全生产战略规划等。E-mail:

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赵一归教授级高级工程师 1, 2 , 王梦瑶 3 , 邓清禄教授 1 , 郭海林副教授 **, 1
中国安全科学学报 | 安全科学理论与安全系统科学 2025,35(8): 14-21
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中国安全科学学报 |安全科学理论与安全系统科学 2025 , 35 (8) : 14 -21
安全生产治理系统演化模型及机制
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赵一归(1974—),男,辽宁普兰店人,博士研究生,教授级高级工程师,主要研究方向为安全系统工程、安全风险管理、安全生产战略规划等。E-mail:

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赵一归(1974—),男,辽宁普兰店人,博士研究生,教授级高级工程师,主要研究方向为安全系统工程、安全风险管理、安全生产战略规划等。E-mail:

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赵一归教授级高级工程师1, 2 , 王梦瑶3, 邓清禄教授1, 郭海林副教授**, 1
作者信息
  • 1中国地质大学(武汉) 工程学院,湖北 武汉 430074
  • 2应急管理部 信息研究院,北京 100029
  • 3中国地质大学(北京) 工程技术学院,北京 100083
通讯作者:
** 郭海林(1973—),男,河北唐山人,博士,副教授,主要从事安全风险分析与智能化管控技术方面的研究。E-mail:
作者简介:

赵一归(1974—),男,辽宁普兰店人,博士研究生,教授级高级工程师,主要研究方向为安全系统工程、安全风险管理、安全生产战略规划等。E-mail:

Evolution model and mechanism of work safety governance system
Yigui ZHAO1, 2 , Mengyao WANG3, Qinglu DENG1, Hailin GUO**, 1
Affiliations
  • 1School of Engineering, China University of Geosciences (Wuhan), Wuhan Hubei 430074, China
  • 2Information Institute of the Ministry of Emergency Management, Beijing 100029, China
  • 3School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China
出版时间: 2025-08-28 doi: 10.16265/j.cnki.issn1003-3033.2025.08.0277
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为推动安全生产治理现代化理论发展,基于系统理论与治理理论,构建包含治理主体、治理规则、治理工具、治理资源的安全生产治理系统要素模型,通过复杂适应系统(CAS)理论分析聚集、非线性、流、多样性、标识、内部模型和积木7个基本特性,进一步结合适应度景观理论和NK模型,构建安全生产治理系统演化的NK景观模型,揭示系统基因形态(A-R-T-S)的16种状态组合及其适应度分布。结果表明:安全生产治理系统由治理主体、治理规则、治理工具及治理资源4个要素构成,具备复杂适应系统的特性;系统演化遵循“初建阶段:随机性游走和低状态锁定→发展阶段:适应性游走和局部协同局限→成熟阶段:适应性跳跃和深度协同”3阶段机制;我国安全生产治理系统演化涵盖系统初建期(1978—2002年)、系统完善期(2003—2012年)、系统现代化推进期(2012—2024年)3个阶段和相应机制。

安全生产治理系统  /  系统演化  /  复杂适应系统(CAS)  /  适应度景观  /  NK模型

In order to promote the development of theories on the modernization of work safety governance, a four-dimensional model of the work safety governance system—comprising governance actors, governance rules, governance tools, and governance resources—was constructed based on systems theory and governance theory. Using CAS theory, seven fundamental characteristics—aggregation, nonlinearity, flow, diversity, tagging, internal models, and building blocks—were analyzed. Furthermore, by integrating fitness landscape theory and the NK fitness landscape model, an NK landscape model for the evolution of the work safety governance system was developed, revealing 16 state combinations of the system's genetic morphology (A-R-T-S) and their fitness distributions. The results indicate that the system's evolution follows a three-stage mechanism: Initial Stage: Random walk and low-state locking → Development Stage: Adaptive walk and local coordination limitations → Maturity Stage: Adaptive leap and deep coordination. Empirical analysis indicates that the evolution of China's work safety governance system encompasses three periods with corresponding mechanisms: the System Initial Establishment Period (1978—2002), the System Improvement Period (2003—2012), and the System Modernization Advancing Period (2012—2024).

work safety governance system  /  system evolutionary  /  complex adaptive systems (CAS)  /  fitness landscape  /  NK fitness landscape model
赵一归教授级高级工程师, 王梦瑶, 邓清禄教授, 郭海林副教授. 安全生产治理系统演化模型及机制. 中国安全科学学报, 2025 , 35 (8) : 14 -21 . DOI: 10.16265/j.cnki.issn1003-3033.2025.08.0277
Yigui ZHAO, Mengyao WANG, Qinglu DENG, Hailin GUO. Evolution model and mechanism of work safety governance system[J]. China Safety Science Journal, 2025 , 35 (8) : 14 -21 . DOI: 10.16265/j.cnki.issn1003-3033.2025.08.0277
  • 国家重点研发计划资助项目(2022YFC3004804)
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doi: 10.16265/j.cnki.issn1003-3033.2025.08.0277
  • 接收时间:2025-04-09
  • 首发时间:2026-07-09
  • 出版时间:2025-08-28
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  • 收稿日期:2025-04-09
  • 修回日期:2025-06-12
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国家重点研发计划资助项目(2022YFC3004804)
作者信息
    1中国地质大学(武汉) 工程学院,湖北 武汉 430074
    2应急管理部 信息研究院,北京 100029
    3中国地质大学(北京) 工程技术学院,北京 100083

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** 郭海林(1973—),男,河北唐山人,博士,副教授,主要从事安全风险分析与智能化管控技术方面的研究。E-mail:
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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