北京市长安街沿线的扒窃案件高发区分析及防控对策

发布时间：2018-01-14 22:24

本文关键词：北京市长安街沿线的扒窃案件高发区分析及防控对策　出处：《地理科学进展》2015年10期 　论文类型：期刊论文

【摘要】：本文利用空间分析方法,对北京市长安街沿线的扒窃类案件的空间分布特征进行了研究。首先分析了长安街沿线的犯罪分布状况,发现该长安街沿线共存在3个异常明显的犯罪高发区域,分别对应于西单商业圈(A)、建国门路段(B)和大望路—四惠路段(C),通过将长安街沿线的常住人口与兴趣点(Point of Interest,POI)分布进行比较,发现案件与POI密度较高的区域存在较高的相关性。随后,利用核密度估计方法和时空热点矩阵方法分析了3个异常明显的案件高发区域内的犯罪活动时空分布模式,结果表明:高发区域A的犯罪高发时段为上午10时至下午18时,其中峰值出现在正午12时,犯罪活动主要集中在区域内的一些大型购物场所内;高发区域B和C的犯罪高发时间均为上午6时和下午18时前后,与早晚交通高峰时间比较一致,犯罪活动主要集中在区域内比较重要的公共交通站点附近。最后,根据长安街沿线案件高发区域内犯罪活动的时空规律性特征,提出了犯罪防控措施与建议。
[Abstract]:In this paper, the spatial distribution characteristics of pickpocketing cases along Changan Street in Beijing are studied by using spatial analysis method. Firstly, the distribution of crime along Changan Street is analyzed. It is found that there are three regions with high incidence of crime along Changan Street, corresponding to Xidan Commercial Circle Aan, Jianguomen Road (B) and Dawanglu-Sihui Section (C). The distribution of resident population and point of interest (Poi) along Chang'an Street was compared. It was found that there was a high correlation between the case and the area with higher POI density. Using the kernel density estimation method and the space-time hot spot matrix method, the spatial and temporal distribution patterns of criminal activities in the regions with high incidence of cases are analyzed. The results showed that the high incidence period of crime in A region was from 10:00 to 18:00, and the peak occurred at 12:00, and the criminal activities were mainly concentrated in some large shopping places in the region. The high incidence time of crime in high incidence area B and C is about 6:00 and 18:00, which is consistent with the morning and evening rush hour. Criminal activities are mainly concentrated near the more important public transport stations in the region. Finally, according to the space-time regular characteristics of crime activities in the area with high incidence of cases along Changan Street, the measures and suggestions for crime prevention and control are put forward.
【作者单位】：中国人民公安大学警务信息工程学院;
【基金】：国家863重点科技计划项目(2015AA016009) 国家自然科学基金项目(71203229)
【分类号】：D631.4
【正文快照】： 1引言随着环境犯罪学和地理信息技术的发展,旨在分析犯罪活动空间形态的犯罪地理、犯罪制图研究不断受到人们的重视(程薇等,2013)。近几年来,人们从城市规划、地理科学、公安技术等学科领域对城市化进程中的城市犯罪生态进行了研究(姜超等,2013,2014),对犯罪活动的空间分布特

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