[1]夏立明,宗恒恒.聚类和灰色关联度在建筑施工事故影响因素分析中的应用[J].中国安全生产科学技术,2011,7(12):157-162.
XIA Li-ming,ZONG Heng-heng.Application of cluster analysis and grey related degree to affecting factors analysis of construction accident[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2011,7(12):157-162.
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聚类和灰色关联度在建筑施工事故影响因素分析中的应用
XIA Li-ming,ZONG Heng-heng.Application of cluster analysis and grey related degree to affecting factors analysis of construction accident[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2011,7(12):157-162.
《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]
- 卷:
- 7
- 期数:
- 2011年12期
- 页码:
- 157-162
- 栏目:
- 出版日期:
- 2011-12-30
文章信息/Info
- Title:
- Application of cluster analysis and grey related degree to affecting factors analysis of construction accident
- 文章编号:
- 1673-193X(2011)-12-0157-06
- 分类号:
- X928
- DOI:
- -
- 文献标志码:
- A
- 摘要:
- 建筑业是高危行业,其安全生产状况一直受到社会各界的关注。针对建筑施工过程中监管重点难以把握、施工事故多发的现状,选取1997-2006年发生的建筑施工事故数据,以多发事故高处坠落为例,通过拆分、合并、剔除筛选出10种引发高处坠落施工事故的影响因素;通过建筑施工事故因素的聚类分析,获得三类影响因素,即"人—管理—物;"应用灰色关联度分析,对各类影响因素的灰色关联度进行排序,从而找出建筑施工过程的薄弱环节,为指导施工现场安全管理人员制定有针对性监管措施和预防建筑施工事故的发生提供方法支持。
- Abstract:
- Construction is a high-risk industry,and the safety situation has been the concern of the community.In allusion to the status quo of the difficultly controlled construction supervision and the frequently occurred construction accidents,the data of high fall construction accidents during 1997-2006 were classified into ten kinds of affecting factors through splitting,merging and removing;then these affecting factors of construction accident mentioned above were incorporated into three kinds of affecting factors which included "man—management—matter" through the cluster analysis.And finally the grey related degree analysis was applied to rank the grey related degree of various affecting factors,in order to find out the weak point in the course of construction and to work out microcosmic supervisory measures and preventive measures for the safety of construction on site
参考文献/References:
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备注/Memo
- 备注/Memo:
-
收稿日期：2011-05-10作者简介：夏立明，男，教授基金项目：天津市哲学社会科学规划资助项目(编号:TJGL08-097)
