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首页> 外文期刊>ISPRS International Journal of Geo-Information >Analysis of Burglary Hot Spots and Near-Repeat Victimization in a Large Chinese City
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Analysis of Burglary Hot Spots and Near-Repeat Victimization in a Large Chinese City

机译：中国大城市的盗窃热点和近乎重复的受害分析

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摘要

A hot spot refers to numerous crime incidents clustered in a limited space-time range. The near-repeat phenomenon suggests that every victimization might form a contagion-like pattern nearby in terms of both space and time. In this article, the near-repeat phenomenon is used to analyze the risk levels around hot spots. Utilizing a recent burglary dataset in N (a large city located in southeastern China), we examine the near-repeat phenomenon, the results of which we then use to test the contributions of hot spots. More importantly, we propose a temporal expanded near-repeat matrix to quantify the undulation of risk both before and after hot spots. The experimental results demonstrate that hot spots always form. Space-time areas of high risk are always variable in space and time. Regions in the vicinity of hot spots simultaneously share this higher risk. In general, crime risks around hot spots present as a wave diffusion process. The conclusions herein provide a detailed analysis of criminal patterns, which not only advances previous results but also provides valuable research results for crime prediction and prevention.
机译：热点是指在有限的时空范围内聚集的大量犯罪事件。近乎重复的现象表明，每一次受害都可能在空间和时间方面在附近形成类似传染病的模式。在本文中，将近重复现象用于分析热点附近的风险水平。利用N（中国东南部的一个大城市）的最新入室盗窃数据集，我们研究了近重复现象，然后将其结果用于检验热点的贡献。更重要的是，我们提出了一个时间扩展的近重复矩阵来量化热点前后的风险波动。实验结果表明，总是会形成热点。高风险的时空区域在时空上总是可变的。热点附近的区域同时承担着较高的风险。通常，热点周围的犯罪风险以波扩散过程的形式出现。本文的结论提供了对犯罪模式的详细分析，不仅可以促进先前的研究结果，而且还可以为犯罪预测和预防提供有价值的研究结果。

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