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基于χ~2检验的施工安全监管中行为因素关联分析
引用本文:孙开畅,周剑岚,孙志禹,李昆.基于χ~2检验的施工安全监管中行为因素关联分析[J].武汉大学学报(工学版),2012,45(4):481-484.
作者姓名:孙开畅  周剑岚  孙志禹  李昆
作者单位:1. 三峡大学水利与环境学院,湖北宜昌,443002
2. 华中科技大学控制科学与工程系,湖北武汉,430074
3. 中国长江三峡集团科技环保部,湖北宜昌,443002
4. 三峡大学土木与建筑学院,湖北宜昌,443002
基金项目:国家自然科学基金,国家自然科学基金
摘    要:水利工程施工中的安全监管错误会引发不安全行为,进一步影响施工人员的工作状态,最终导致事故的发生.基于χ2独立性检验,通过统计学分析提供邻近层次的不同种类之间因素的概率数据,对行为因素之间的独立性进行关联分析,从中找到非独立的因素;确定了人为因素分析与分类系统(HFACS)框架中高层次对底层次因素的影响程度.最后在这些数据的基础上,找到HFACS框架中各因素的作用路径,为防范措施的制定和实施准备工作提供了依据和参考.

关 键 词:χ2检验  施工安全  行为因素  关联分析

Relationship analysis of behavioral factors in construction safety supervision based on chi-square test
SUN Kaichang,ZHOU Jianlan,SUN Zhiyu,LI Kun.Relationship analysis of behavioral factors in construction safety supervision based on chi-square test[J].Engineering Journal of Wuhan University,2012,45(4):481-484.
Authors:SUN Kaichang  ZHOU Jianlan  SUN Zhiyu  LI Kun
Affiliation:1.College of Hydraulic & Environmental Engineering,China Three Gorges University,Yichang 443002,China; 2.Department of Control Science & Engineering,Huazhong University of Science and Technology,Wuhan 430074,China; 3.Department of Science & Environmental Protection,China Three Gorges Group,Yichang 443002,China; 4.College of Civil Engineering & Architecture,China Three Gorges University,Yichang 443002,China)
Abstract:The unsafe behavior can be brought about by safety supervision accident during the construction process of hydraulic projects.And such behavior would deteriorate the construction and lead to accidents at last.The independence of the chi-square test is performed based on the statistical analysis between the different types of neighborhood-level factors.In order to find the non-independent factors,the independent correlation analysis between the behavioral factors is performed.Among the human factors analysis and classification system(HFACS),the impact of high-level factors on the bottom level is determined.Based on the data,the work path of different factors in the HFACS frame is confirmed.
Keywords:chi-square test  construction safety  behavioral factors  relationship analysis
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