Article(id=1281627164432896767, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, articleNumber=null, orderNo=null, doi=10.16265/j.cnki.issn1003-3033.2026.01.1116, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1757260800000, receivedDateStr=2025-09-08, revisedDate=1762704000000, revisedDateStr=2025-11-10, acceptedDate=null, acceptedDateStr=null, onlineDate=1783493327481, onlineDateStr=2026-07-08, pubDate=1769529600000, pubDateStr=2026-01-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1783493327481, onlineIssueDateStr=2026-07-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1783493327481, creator=13701087609, updateTime=1783493327481, updator=13701087609, issue=Issue{id=1281627156769903305, tenantId=1146029695717560320, journalId=1146031787341344770, year='2026', volume='36', issue='1', pageStart='1', pageEnd='280', issueExtLink='null', onlineDate='null', pubDate='1769529600000', pubDateStr='2026-01-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1783493325654, creator='13701087609', updateTime=1783588714348, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1282027246013624992, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1282027246013624993, tenantId=1146029695717560320, journalId=1146031787341344770, issueId=1281627156769903305, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=42, endPage=49, ext={EN=ArticleExt(id=1281627164671972096, articleId=1281627164432896767, tenantId=1146029695717560320, journalId=1146031787341344770, language=EN, title=Mechanisms underlying unsafe behaviors among older miners based on IMB model, columnId=1277328386947150682, journalTitle=China Safety Science Journal, columnName=Safety Science Theories and Methods, runingTitle=null, highlight=null, articleAbstract=

To address the structural safety risks in the workforce arising from the increasing proportion of older miners in the mining industry, this study investigated the causal mechanisms underlying unsafe behaviors among older miners. Drawing on the IMB model, a SEM was developed to examine the causal pathways of miners' unsafe behaviors, and multi-group analysis was employed to compare the path coefficient differences between older and younger miners. The results indicate that knowledge and experience factors such as educational attainment and safety knowledge, as well as psychological characteristic factors including safety attitudes, accident experience, mental health, job burnout, and risk attitudes, have significant effects on miners' unsafe behaviors. Notably, work ability mediates both the pathway from knowledge and experience to unsafe behaviors and the pathway from psychological characteristics to unsafe behaviors. In addition, risk attitudes, mental health, job burnout, educational attainment, and safety knowledge exert stronger influences on unsafe behaviors among older miners compared to their younger counterparts.

, authors=Fangyuan TIAN1, 2, 3, Wenqi LI**, 1, 2, 3, Xuecai XIE4, 5, Weishuai QIU1, 2, 3, Hongxia LI1, 2, 3, authorsList=Fangyuan TIAN, Wenqi LI, Xuecai XIE, Weishuai QIU, Hongxia LI, authorCompany=null, correspAuthors=Wenqi 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=1281627165187871489, articleId=1281627164432896767, tenantId=1146029695717560320, journalId=1146031787341344770, language=CN, title=基于IMB模型的年长矿工不安全行为致因机制, columnId=1277328387270112092, journalTitle=中国安全科学学报, columnName=安全科学理论与方法, runingTitle=null, highlight=null, articleAbstract=

为应对由采矿业年长矿工人数占比增加带来的劳动力结构性安全风险,探究年长矿工不安全行为致因机制特征。基于信息-动机-行为技巧(IMB)模型构建矿工不安全行为致因机制结构方程模型(SEM),并运用多群组分析对比年长与年轻矿工不安全行为影响路径的系数差异。研究结果表明:学历、安全知识等知识经验因素,安全态度、事故经历、心理健康、工作倦怠、风险态度等心理特征因素均对矿工的不安全行为具有显著影响,其中,工作能力在“知识经验—不安全行为”与“心理特征—不安全行为”路径中均发挥中介作用。此外,风险态度、心理健康、工作倦怠、学历、安全知识对年长矿工不安全行为的影响均大于年轻矿工。

, authors=田方圆副教授1, 2, 3, 李雯琪**, 1, 2, 3, 解学才讲师4, 5, 邱伟帅1, 2, 3, 李红霞教授1, 2, 3, authorsList=田方圆副教授, 李雯琪, 解学才讲师, 邱伟帅, 李红霞教授, authorCompany=null, correspAuthors=李雯琪, authorNote=

田方圆(1990—),女,陕西西安人,博士,副教授,主要从事安全、管理、认知神经和工效学视域下的安全人因工程、应急管理和职业安全与健康等方面的研究。E-mail:

, correspAuthorsNote=
** 李雯琪(2001—),女,甘肃酒泉人,硕士研究生,研究方向为安全与应急管理。E-mail:
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田方圆(1990—),女,陕西西安人,博士,副教授,主要从事安全、管理、认知神经和工效学视域下的安全人因工程、应急管理和职业安全与健康等方面的研究。E-mail:

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田方圆(1990—),女,陕西西安人,博士,副教授,主要从事安全、管理、认知神经和工效学视域下的安全人因工程、应急管理和职业安全与健康等方面的研究。E-mail:

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基于IMB模型的年长矿工不安全行为致因机制
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田方圆副教授 1, 2, 3 , 李雯琪 **, 1, 2, 3 , 解学才讲师 4, 5 , 邱伟帅 1, 2, 3 , 李红霞教授 1, 2, 3
中国安全科学学报 | 安全科学理论与方法 2026,36(1): 42-49
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中国安全科学学报 |安全科学理论与方法 2026 , 36 (1) : 42 -49
基于IMB模型的年长矿工不安全行为致因机制
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田方圆(1990—),女,陕西西安人,博士,副教授,主要从事安全、管理、认知神经和工效学视域下的安全人因工程、应急管理和职业安全与健康等方面的研究。E-mail:

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田方圆(1990—),女,陕西西安人,博士,副教授,主要从事安全、管理、认知神经和工效学视域下的安全人因工程、应急管理和职业安全与健康等方面的研究。E-mail:

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田方圆副教授1, 2, 3 , 李雯琪**, 1, 2, 3 , 解学才讲师4, 5, 邱伟帅1, 2, 3, 李红霞教授1, 2, 3
作者信息
  • 1西安科技大学 管理学院,陕西 西安 710054
  • 2西安市应急安全人因智能重点实验室,陕西 西安 710054
  • 3西安科技大学 能源经济与管理研究中心,陕西 西安 710054
  • 4清华大学 安全科学学院,北京 100084
  • 5中国地质大学(北京) 工程技术学院,北京 100083
通讯作者:
** 李雯琪(2001—),女,甘肃酒泉人,硕士研究生,研究方向为安全与应急管理。E-mail:
作者简介:

田方圆(1990—),女,陕西西安人,博士,副教授,主要从事安全、管理、认知神经和工效学视域下的安全人因工程、应急管理和职业安全与健康等方面的研究。E-mail:

Mechanisms underlying unsafe behaviors among older miners based on IMB model
Fangyuan TIAN1, 2, 3 , Wenqi LI**, 1, 2, 3 , Xuecai XIE4, 5, Weishuai QIU1, 2, 3, Hongxia LI1, 2, 3
Affiliations
  • 1School of Management, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
  • 2Xi'an Key Laboratory of Human Factors & Intelligence for Emergency, Xi'an Shaanxi 710054, China
  • 3Research Center for Energy Economics and Management, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China
  • 4Institute of Public Safety Research, Tsinghua University, Beijing 100084, China
  • 5Faculty of GeoEngineering, China University of Geosciences, Beijing 100083, China
出版时间: 2026-01-28 doi: 10.16265/j.cnki.issn1003-3033.2026.01.1116
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为应对由采矿业年长矿工人数占比增加带来的劳动力结构性安全风险,探究年长矿工不安全行为致因机制特征。基于信息-动机-行为技巧(IMB)模型构建矿工不安全行为致因机制结构方程模型(SEM),并运用多群组分析对比年长与年轻矿工不安全行为影响路径的系数差异。研究结果表明:学历、安全知识等知识经验因素,安全态度、事故经历、心理健康、工作倦怠、风险态度等心理特征因素均对矿工的不安全行为具有显著影响,其中,工作能力在“知识经验—不安全行为”与“心理特征—不安全行为”路径中均发挥中介作用。此外,风险态度、心理健康、工作倦怠、学历、安全知识对年长矿工不安全行为的影响均大于年轻矿工。

信息-动机-行为技巧(IMB)模型  /  年长矿工  /  工作能力  /  不安全行为  /  致因机制  /  结构方程模型(SEM)

To address the structural safety risks in the workforce arising from the increasing proportion of older miners in the mining industry, this study investigated the causal mechanisms underlying unsafe behaviors among older miners. Drawing on the IMB model, a SEM was developed to examine the causal pathways of miners' unsafe behaviors, and multi-group analysis was employed to compare the path coefficient differences between older and younger miners. The results indicate that knowledge and experience factors such as educational attainment and safety knowledge, as well as psychological characteristic factors including safety attitudes, accident experience, mental health, job burnout, and risk attitudes, have significant effects on miners' unsafe behaviors. Notably, work ability mediates both the pathway from knowledge and experience to unsafe behaviors and the pathway from psychological characteristics to unsafe behaviors. In addition, risk attitudes, mental health, job burnout, educational attainment, and safety knowledge exert stronger influences on unsafe behaviors among older miners compared to their younger counterparts.

information-motivation-behavioral skills (IMB) model  /  older miners  /  work ability  /  unsafe behavior  /  causal mechanisms  /  structural equation model (SEM)
田方圆副教授, 李雯琪, 解学才讲师, 邱伟帅, 李红霞教授. 基于IMB模型的年长矿工不安全行为致因机制. 中国安全科学学报, 2026 , 36 (1) : 42 -49 . DOI: 10.16265/j.cnki.issn1003-3033.2026.01.1116
Fangyuan TIAN, Wenqi LI, Xuecai XIE, Weishuai QIU, Hongxia LI. Mechanisms underlying unsafe behaviors among older miners based on IMB model[J]. China Safety Science Journal, 2026 , 36 (1) : 42 -49 . DOI: 10.16265/j.cnki.issn1003-3033.2026.01.1116
  • 国家自然科学基金资助(C类)(52504244)
  • 教育部人文社会科学青年基金资助(23XJC630011)
  • 教育部产学合作协同育人实践条件和实践基地建设项目(2507032817)
  • 陕西省自然科学基础研究计划项目(2024JC-YBQN-0499)
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doi: 10.16265/j.cnki.issn1003-3033.2026.01.1116
  • 接收时间:2025-09-08
  • 首发时间:2026-07-08
  • 出版时间:2026-01-28
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  • 收稿日期:2025-09-08
  • 修回日期:2025-11-10
基金
国家自然科学基金资助(C类)(52504244)
教育部人文社会科学青年基金资助(23XJC630011)
教育部产学合作协同育人实践条件和实践基地建设项目(2507032817)
陕西省自然科学基础研究计划项目(2024JC-YBQN-0499)
作者信息
    1西安科技大学 管理学院,陕西 西安 710054
    2西安市应急安全人因智能重点实验室,陕西 西安 710054
    3西安科技大学 能源经济与管理研究中心,陕西 西安 710054
    4清华大学 安全科学学院,北京 100084
    5中国地质大学(北京) 工程技术学院,北京 100083

通讯作者:

** 李雯琪(2001—),女,甘肃酒泉人,硕士研究生,研究方向为安全与应急管理。E-mail:
参考文献
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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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