主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

世界地理研究 ›› 2021, Vol. 30 ›› Issue (5): 1005-1014.DOI: 10.3969/j.issn.1004-9479.2021.05.2020790

• 城市与区域 • 上一篇    下一篇

入户盗窃犯罪的时空分布热点及其机理研究——以ACP区警情分析为例

付逸飞1,2()   

  1. 1.复旦大学城市公共安全研究中心,上海 200433
    2.上海公安学院,上海 200137
  • 收稿日期:2020-09-05 修回日期:2020-11-02 出版日期:2021-09-30 发布日期:2021-09-17
  • 作者简介:付逸飞(1986- ),男,主要研究方向为犯罪地理、公共安全与危机管理, E-mail:18110730016@fudan.edu.cn。相关数据源于《中国统计年鉴》(2000-2019)“公安机关立案的刑事案件及构成”。
  • 基金资助:
    公安部公安理论及软科学研究计划(RKX20201082);上海市哲学社科规划青年课题(2017EGL001)

Study on the temporal-spatial distribution hot-spots and mechanisms in burglary: Based on the analysis of policing alert in City A District CP

Yifei FU1,2()   

  1. 1.Urban Public Security Research Center, Fudan University, Shanghai 200433, China
    2.Shanghai Police College, Shanghai 200137, China
  • Received:2020-09-05 Revised:2020-11-02 Online:2021-09-30 Published:2021-09-17

摘要:

采用核密度估计和Aoristic analysis等方法分析了2015年A市CP区入户盗窃警情的时空分布热点,并通过热点矩阵分类进一步对热点内的犯罪时空分布格局及其内在犯罪机理进行分析。结果显示:CP区共有3个犯罪热点区域和2个集中时段;3个热点区域分别为时间集中-空间聚集型、时间集中-空间分散型、时间集中-空间热点型;同时,影响入户盗窃犯罪的机理在于犯罪主体关联要素、犯罪客体关联要素、犯罪环境关联要素在时空上的密切耦合,共同影响入户盗窃犯罪活动的形成;提示在预防及控制犯罪“热点”中,需要采取更有针对性的防范措施和对策。

关键词: 时空分布热点, 入户盗窃, 犯罪, 影响机理, 警情

Abstract:

This paper uses kernel density estimation and aoristic analysis to analysis the temporal-spatial distribution hotspots of burglary in CP District of A city in 2015, and further analyzes the temporal-spatial distribution pattern and criminal mechanism within the hotspots based on the spatiotemporal hot spot matrix method. The results show that: CP District has three crime hot areas and two concentration periods; the three hot areas are time focused-spatial clustered type, time focused-space dispersed type, and time focused-space hotpoint type; at the same time, the mechanism of influencing burglary crime lies in the close coupling of criminal subject related elements, criminal object related elements and criminal environment related elements in time and space, we suggested that more targeted preventive measures and countermeasures should be taken in the prevention and control of "hot spots" of crime.

Key words: temporal-spatial distribution hot-spots, burglary, crime, mechanism, policing alert