基于道路网络的违法犯罪空间分布特性研究——以浙江省某市为例  

Research on Spatial Distribution Characteristics of Illegal Crime Based on Road Network——a Case Study of a City in Zhejiang Province

作　　者：王颖志[1] 郑滋椀 李强伟[1] WANG Yingzhi;ZHENG Ziwan;LI Qiangwei(Department of Traffic Management Engineering,Zhejiang Police College,Hangzhou 310058,China;Ministry of Public Security s Key Laboratory of Public Security Information Application Based on Big Data Architecture,Zhejiang Police College,Hangzhou 310058,China)

机构地区：[1]浙江警察学院交通管理工程系,浙江杭州310058 [2]浙江警察学院基于大数据架构的公安信息化应用公安部重点实验室,浙江杭州310058

出　　处：《中国人民公安大学学报（自然科学版）》2020年第2期75-80,共6页Journal of People’s Public Security University of China(Science and Technology)

摘　　要：道路网络是城市空间的重要组成部分,也是人类行为发生的重要空间,公安机关开展的很多警务活动都与之相关。以道路网络为视角,并以浙江省某市2011~2014年盗窃案件为研究对象,利用核密度估计、基尼系数与罗伦茨曲线方法对违法犯罪案件在路网上的空间分布特性展开分析研究。结果表明:在道路网络上分布的犯罪多发点具有很强的稳定性,大量违法犯罪案件多集中于少量多发路段。通过核密度估计方法对基于路网的违法犯罪案件进行了空间可视化分析探索。Road network is an important part of urban space and also an important space for human behavior.Many police activities carried out by public security organs are related to it.Taking the road network as the perspective and the theft cases in a city of Zhejiang province from 2011 to 2014 as the research object,the spatial distribution characteristics of the illegal crime cases on the road network were analyzed and studied by using the kernel density estimation,Gini coefficient and Lorenz curve method.The results show that the crime spots distributed on the road network have strong stability,and a large number of criminal cases are concentrated in a small number of multiple road sections.Through the method of kernel density estimation,the spatial visualization analysis and exploration of crime cases based on road network are carried out.

关 键 词：道路网络 违法犯罪多发点 基尼系数 洛伦茨曲线 核密度估计 

分 类 号：D917[政治法律—法学]