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[1]邢宝君,唐水清,李乃文,等.ISM耦合ANP矿工安全注意力衰减影响因素模型[J].中国安全生产科学技术,2017,13(9):163-168.[doi:10.11731/j.issn.1673-193x.2017.09.026]
　XING Baojun,TANG Shuiqing,LI Naiwen,et al.Model of influencing factors for safety attention attenuation of miners with ISM coupling ANP[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(9):163-168.[doi:10.11731/j.issn.1673-193x.2017.09.026]
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ISM耦合ANP矿工安全注意力衰减影响因素模型
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
13
期数:
2017年9期
页码:
163-168
栏目:
现代职业安全卫生管理与技术
出版日期:
2017-09-30

文章信息/Info

Title:
Model of influencing factors for safety attention attenuation of miners with ISM coupling ANP
文章编号:
1673-193X(2017)-09-0163-06
作者:
邢宝君; 唐水清; 李乃文; 牛莉霞
（辽宁工程技术大学 工商管理学院，辽宁 葫芦岛 125105 ）
Author(s):
XING Baojun;  TANG Shuiqing;  LI Naiwen;  NIU Lixia
(Institute of Business Administration, Liaoning Engineering Technology University, Huludao Liaoning 125105, China)
关键词:
矿工; 安全注意力衰减; 影响因素; 解释结构模型（ISM）; 网络层次分析法（ANP）
Keywords:
miners;  safety attention attenuation;  influencing factors;  interpretative structural modeling (ISM);  analytic network process (ANP)
分类号:
X913.4
DOI:
10.11731/j.issn.1673-193x.2017.09.026
文献标志码:
A
摘要:
为了减少煤矿安全事故的发生，从“纵向过程观”角度，引入矿工安全注意力控制空间、安全信息分配空间和安全行为结果空间，建立矿工安全注意力衰减影响因素模型。首先，基于文献研究，建立矿工安全注意力衰减影响因素体系，一共包含12个指标；其次，利用解释结构模型（ISM）构建矿工安全注意力衰减的3级递阶有向图；最后，采用网络层次分析法（ANP）构建矿工安全注意力衰减影响因素的权重模型，并借助Super Decision（SD）软件求解。结果表明：安全自制力、行为习惯、工作负荷、风险应对力以及安全信息刺激频率为表层直接影响因素；安全认知、工作要求、作业环境特征、安全信息变化多样性和风险感知力为中层间接影响因素；管理方式和安全信息刺激强度为深层根本影响因素。主要影响因素有：安全认知、安全自制力、行为习惯、管理方式、安全信息刺激频率以及风险感知力。
Abstract:
In order to reduce the occurrence of coal mine accidents, from the perspective of "vertical process view", a model of influencing factors for safety attention attenuation of miners was established by introducing into the control space of miners' safety attention, the allocation space of safety information and the results space of safety behavior. Firstly, an influencing factors system for safety attention attenuation of miners was established based on the literature research, which included 12 indexes in total. Secondly, a three-level hierarchical directed graph for safety attention attenuation of miners was constructed by using the interpretative structural modeling (ISM). Finally, a weight model of the influencing factors for safety attention attenuation of miners was established by using the analytic network process (ANP) method, and it was solved with the help of Super Decision (SD) software. The results showed that the safety self-control, behavior custom, working load, risk response and stimulation frequency of safety information were the surface-level direct influencing factors, while the safety cognition, working requirements, operation environmental characteristics, change variety of safety information and risk perception were the middle-level indirect influencing factors, and the management mode and the stimulation intensity of safety information were the deep-level fundamental influencing factors. The main influencing factors included the safety cognition, safety self-control, behavior custom, management mode, stimulation frequency of safety information and risk perception.

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备注/Memo

备注/Memo:
国家自然科学青年基金项目(51504126，51404125)；辽宁省教育厅项目(LJYR007)；教育部人文社会科学基金青年基金(12YJCZH192)
更新日期/Last Update: 2017-10-12