煤炭企业员工安全行为水平量化研究  

Quantitative Research on Coal Enterprise Employee Safety Behavior Level

作　　者：何刚[1,2] 乔国通[3] 曹华亮[2] 杨霞[2] 

机构地区：[1]安徽省人文社科重点研究基地矿业企业安全管理研究中心 [2]安徽理工大学经济与管理学院,安徽淮南232001 [3]安徽理工大学电气与信息工程学院

出　　处：《中国安全科学学报》2013年第4期57-62,共6页China Safety Science Journal

基　　金：教育部人文社科规划基金资助(10YJAZH025);安徽省软科学研究计划项目(11020503087);安徽省哲学社会科学规划项目(AHSK11-12D108)

摘　　要：为有效降低煤矿事故发生率,基于煤炭企业安全复杂的特性,运用粗糙集理论、因子分析法和主成分分析法,系统研究煤炭企业员工安全行为的影响因素体系。以安全行为科学、系统动力学(SD)理论和方法为研究基础,构建员工安全行为水平预测模型,进行动态仿真,对比分析员工安全行为系统中不同因子的水平增加率的预测水平。结果表明,煤矿企业员工安全行为水平受到安全投入额度和投入结构的影响,其中,安全行为水平与投入额度呈正向非线性关系,优化投资结构是提升员工安全行为水平的可行途径。In order to reduce coal mine accidents, based on the complexity of coal enterprises safety, influencing factors of employee safety behavior was systematically analyzed by rough set theory, factor analysis and principal component analysis. Safety behavior theory and SD theory acting as research founda- tion were employed to build the forecast model of employee safety behaviors level and to conduct dynamic simulation. Comparative analysis the increment rates of different factors in employee safety behavior system of the forecast level. The results show that coal enterprise employee safety behavior level is influenced by safety investment amount and investment structure, safety behavior level and investment amount have a positive nonlinear relationship, and optimizing the investment structure become a effective way to improve employee safety behaviors level.

关 键 词：煤炭企业 安全行为 系统动力学(SD) 动态仿真 量化评价 

分 类 号：X913.4[环境科学与工程—安全科学]