犯罪感知与实际数据:芝加哥犯罪的时空分析

IF 0.6 Q4 STATISTICS & PROBABILITY Electronic Journal of Applied Statistical Analysis Pub Date : 2020-02-05 DOI:10.1285/I20705948V13N1P183
A. Zambom, C. Kuhn
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引用次数: 0

摘要

在大多数国家,特别是在城市地区,人们对犯罪和暴力的关注程度越来越高。然而,关于犯罪率的数据在大多数国家呈下降趋势,尤其是在美国。本文的目的是研究芝加哥暴力犯罪的流行程度、空间邻里依赖结构以及法律和警察执法对犯罪率的影响。我们分析了2003年至2017年期间数千起登记病例。与美国的感知犯罪相比,使用ARMA模型的时间序列数据分析表明,自2003年以来,芝加哥的大多数暴力犯罪率一直在稳步下降,与本世纪初相比,犯罪率要低得多。唯一的例外是故意伤害罪,在过去几年中略有增加。
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Perception of Crime and Actual Data: A Spatial and Temporal Analysis of Crime in Chicago
There is an increasing level of concern about crime and violence in most countries, especially in urban areas. However, data on crime rates have been in a decreasing trend in most countries, especially in the USA. The goal of this paper is to study of the prevalence of violent crimes in Chicago, their spatial neighborhood dependence structure and effect of laws and police enforcement on the rates of crime through time. We analyze thousands of registered cases between 2003 and 2017. In contrast with perceived crime in America, time series data analysis using ARMA models demonstrated that the rates of most violent crimes in Chicago have been decreasing steadily since 2003, and are much lower compared to the beginning of the millennium. The only exception is aggravated assault, which presented a slight increase in the past couple years.
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CiteScore
1.40
自引率
14.30%
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