Article(id=1282029992108331128, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282029960869167928, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2025.07.1047, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1739980800000, receivedDateStr=2025-02-20, revisedDate=1746806400000, revisedDateStr=2025-05-10, acceptedDate=null, acceptedDateStr=null, onlineDate=1783589369083, onlineDateStr=2026-07-09, pubDate=1753632000000, pubDateStr=2025-07-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783589369083, onlineIssueDateStr=2026-07-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783589369083, creator=13701087609, updateTime=1783589369083, updator=13701087609, issue=Issue{id=1282029960869167928, tenantId=1146029695717560320, journalId=1146031787341344770, year='2025', volume='35', issue='7', pageStart='1', pageEnd='252', issueExtLink='null', onlineDate='null', pubDate='1753632000000', pubDateStr='2025-07-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783589361636, creator='13701087609', updateTime=1783589710614, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282031424651903975, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282029960869167928, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282031424656098280, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1282029960869167928, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=106, endPage=113, ext={EN=ArticleExt(id=1282029992519372921, articleId=1282029992108331128, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Simulation of subjective probability of safety accidents among engineering personnel based on similar scenario knowledge transfer, columnId=1149733269173878863, journalTitle=China Safety Science Journal, columnName=Safety engineering technology, runingTitle=null, highlight=null, articleAbstract=

To study the influence of similar scenario knowledge transfer on the subjective probability of safety accidents of engineers under avoidance behavior, the scenario similarity variable was introduced, and a subjective probability evolution model for safety accidents among engineering personnel groups was constructed and simulated. The results show that knowledge transfer in similar scenarios accelerates the convergence of the mean subjective probability, and reduces the subjective probability differences between individuals and scenarios, but also leads to the underestimation of accident rates in high-accident-rate scenarios. There is a "high-risk" accident scenario with the largest number of fatalities, where the accident rate ranges from 0.4 to 0.8. When there is a significant mortality rate difference between two scenarios, scenario knowledge transfer reduces losses only if the low-mortality-scenario has a higher accident rate than the high-mortality one. With close mortality rates but greatly varying accident rates, incomplete knowledge transfer may cause greater losses.

, authors=Yu ZHANG1, Zhiwu LI1, Wei ZHONG2, Juanru HE3, authorsList=Yu ZHANG, Zhiwu LI, Wei ZHONG, Juanru HE, authorCompany=null, correspAuthors=null, 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=1282029993626669180, articleId=1282029992108331128, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=相似情景知识迁移下工程人员安全事故主观概率仿真, columnId=1149733269727526997, journalTitle=中国安全科学学报, columnName=安全工程技术, runingTitle=null, highlight=null, articleAbstract=

为了研究规避行为下相似情景知识迁移对工程人员安全事故主观概率的影响,引入情景相似度变量,构建工程人员群体安全事故的主观概率演化模型,并进行仿真试验研究。研究结果表明:相似情景知识迁移会加速主观概率均值收敛,同时降低个体间和情景间的主观概率差异,但也会导致低估高事故率情景的情况;存在死亡人数最多的“高危”事故情景,其事故率在0.4~0.8之间;2种不同情景的死亡率差异较大情况下,仅在低死亡率情景的事故率高于高死亡率情景时,情景知识迁移才有助于降低损失;2种不同情景的死亡率接近且事故率差异较大时,知识的不完整迁移反而会造成更大损失。

, authors=张羽副教授1, 黎之戊1, 钟玮2, 贺娟茹工程师3, authorsList=张羽副教授, 黎之戊, 钟玮, 贺娟茹工程师, authorCompany=null, correspAuthors=null, authorNote=

张羽(1986—),男,江西新余人,博士,副教授,硕士生导师,主要从事安全知识与行为、安全监管博弈等方面的研究。E-mail:

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张羽(1986—),男,江西新余人,博士,副教授,硕士生导师,主要从事安全知识与行为、安全监管博弈等方面的研究。E-mail:

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张羽(1986—),男,江西新余人,博士,副教授,硕士生导师,主要从事安全知识与行为、安全监管博弈等方面的研究。E-mail:

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相似情景知识迁移下工程人员安全事故主观概率仿真
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张羽副教授 1 , 黎之戊 1 , 钟玮 2 , 贺娟茹工程师 3
中国安全科学学报 | 安全工程技术 2025,35(7): 106-113
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中国安全科学学报 |安全工程技术 2025 , 35 (7) : 106 -113
相似情景知识迁移下工程人员安全事故主观概率仿真
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张羽副教授1 , 黎之戊1, 钟玮2, 贺娟茹工程师3
作者信息
  • 1西南石油大学 土木工程与测绘学院,四川 成都 610500
  • 2四川师范大学 党委学生工作部(处),四川 成都 610066
  • 3河南中天高新智能科技股份有限公司,河南 郑州 450001
作者简介:

张羽(1986—),男,江西新余人,博士,副教授,硕士生导师,主要从事安全知识与行为、安全监管博弈等方面的研究。E-mail:

Simulation of subjective probability of safety accidents among engineering personnel based on similar scenario knowledge transfer
Yu ZHANG1 , Zhiwu LI1, Wei ZHONG2, Juanru HE3
Affiliations
  • 1School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu Sichuan 610500, China
  • 2Party Committee Student Affairs Department (Division), Sichuan Normal University, Chengdu Sichuan 610066, China
  • 3Henan Zhongtian High-tech Intelligent Technology Co., Ltd., Zhengzhou Henan 450001, China
出版时间: 2025-07-28 doi: 10.16265/j.cnki.issn1003-3033.2025.07.1047
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为了研究规避行为下相似情景知识迁移对工程人员安全事故主观概率的影响,引入情景相似度变量,构建工程人员群体安全事故的主观概率演化模型,并进行仿真试验研究。研究结果表明:相似情景知识迁移会加速主观概率均值收敛,同时降低个体间和情景间的主观概率差异,但也会导致低估高事故率情景的情况;存在死亡人数最多的“高危”事故情景,其事故率在0.4~0.8之间;2种不同情景的死亡率差异较大情况下,仅在低死亡率情景的事故率高于高死亡率情景时,情景知识迁移才有助于降低损失;2种不同情景的死亡率接近且事故率差异较大时,知识的不完整迁移反而会造成更大损失。

情景相似度  /  知识迁移  /  工程人员  /  安全事故  /  主观概率  /  规避行为  /  元胞自动机(CA)

To study the influence of similar scenario knowledge transfer on the subjective probability of safety accidents of engineers under avoidance behavior, the scenario similarity variable was introduced, and a subjective probability evolution model for safety accidents among engineering personnel groups was constructed and simulated. The results show that knowledge transfer in similar scenarios accelerates the convergence of the mean subjective probability, and reduces the subjective probability differences between individuals and scenarios, but also leads to the underestimation of accident rates in high-accident-rate scenarios. There is a "high-risk" accident scenario with the largest number of fatalities, where the accident rate ranges from 0.4 to 0.8. When there is a significant mortality rate difference between two scenarios, scenario knowledge transfer reduces losses only if the low-mortality-scenario has a higher accident rate than the high-mortality one. With close mortality rates but greatly varying accident rates, incomplete knowledge transfer may cause greater losses.

scenario similarity  /  knowledge transfer  /  engineering personnel  /  safety accidents  /  subjective probability  /  avoidance behavior  /  cellular automaton (CA)
张羽副教授, 黎之戊, 钟玮, 贺娟茹工程师. 相似情景知识迁移下工程人员安全事故主观概率仿真. 中国安全科学学报, 2025 , 35 (7) : 106 -113 . DOI: 10.16265/j.cnki.issn1003-3033.2025.07.1047
Yu ZHANG, Zhiwu LI, Wei ZHONG, Juanru HE. Simulation of subjective probability of safety accidents among engineering personnel based on similar scenario knowledge transfer[J]. China Safety Science Journal, 2025 , 35 (7) : 106 -113 . DOI: 10.16265/j.cnki.issn1003-3033.2025.07.1047
  • 四川省社科规划项目(SC21B162)
  • 教育部人文社科项目(14XJCZH004)
  • 教育部合作协同育人项目(201802339011)
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2025年第35卷第7期
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doi: 10.16265/j.cnki.issn1003-3033.2025.07.1047
  • 接收时间:2025-02-20
  • 首发时间:2026-07-09
  • 出版时间:2025-07-28
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  • 收稿日期:2025-02-20
  • 修回日期:2025-05-10
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四川省社科规划项目(SC21B162)
教育部人文社科项目(14XJCZH004)
教育部合作协同育人项目(201802339011)
作者信息
    1西南石油大学 土木工程与测绘学院,四川 成都 610500
    2四川师范大学 党委学生工作部(处),四川 成都 610066
    3河南中天高新智能科技股份有限公司,河南 郑州 450001
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https://castjournals.cast.org.cn/joweb/zgaqkxxb/CN/10.16265/j.cnki.issn1003-3033.2025.07.1047
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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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