摘要
为对全国各地区的安全生产状况有一个清晰直观的认识,了解不同地区安全管理水平的差异性,基于SPSS软件对2009~2016年我国各地区的安全生产统计数据进行系统聚类分析,将我国31个省、市、自治区的安全生产状况划分为4类,通过分析不同类别地区安全生产状况的特点及原因,为控制和预防生产安全事故提供依据。
In order to have a clear understanding of the safety production situation of each province in China, and understand the difference of the level of safety management in different places based on SPSS software, the hierarchical cluster analysis of production safety statistical data of China＇ s provinces in 2009 - 2016 is conducted. Production safety situation of China＇ s 31 provinces, municipalities and autonomous regions are divided into four categories. The analysis of safe production conditions of different types of areas provides the basis for the control and prevention of production safety accidents.
作者
李胜楠
凌标灿
LI Sheng-nan LING Biao-can(Graduate School, North China Institute of Science and Technology, Beijing 101601, China Zhongkuang Longke Energy Technology （Beijing） Co. , Ltd. , Beijing 10 1601, China)
出处
《华北科技学院学报》
2017年第2期84-89,共6页
Journal of North China Institute of Science and Technology
基金
中央高校基本科研业务费资助(3142017031)
关键词
安全生产状况
系统聚类分析
SPSS
Safe production status
Hierarchical cluster analysis
SPSS
