论文部分内容阅读
区域分类是公安行政区域规划的基础,有助于推动公安管理的规范化,提高公安行政科学化水平,但相关研究较少。现有警务区域分类多是参考政府规划,但并不科学。本文提出从警情数据出发,采用聚类分析对多个公安行政区域分类,并采用多元方差分析检验效果,最后用均值比较获得类别特征。而最后本文以某个城市公安交通管理部门为例,将其所属38个行政区域划分为四类,分类结果符合实际情况。实例证明这个方法是科学可靠的。
Regional classification is the basis of public security administrative regional planning, help to promote the standardization of public security management, and improve the scientific level of public security administration, but less relevant research. The existing police area classification is mostly reference to government planning, but not science. Based on the police intelligence data, this paper proposes a cluster analysis to classify multiple public security administrative regions. Multivariate analysis of variance is used to test the effect. In the end, this paper takes an urban public security traffic management department as an example, divides its 38 administrative regions into four categories, and the classification result accords with the actual situation. Examples show that this method is scientifically sound.