Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities

IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH 安全科学与韧性(英文) Pub Date : 2022-12-01 DOI:10.1016/j.jnlssr.2021.10.008
Miaomiao Hou, Zhaolong Zeng, Xiaofeng Hu, Jinming Hu
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引用次数: 10

Abstract

The COVID-19 pandemic is strongly affecting many aspects of human life and society around the world. To investigate whether this pandemic also influences crime, the differences in crime incidents numbers before and during the pandemic in four large cities (namely Washington DC, Chicago, New York City and Los Angeles) are investigated. Moreover, the Granger causal relationships between crime incident numbers and new cases of COVID-19 are also examined. Based on that, new cases of COVID-19 with significant Granger causal correlations are used to improve the crime prediction performance. The results show that crime is generally impacted by the COVID-19 pandemic, but it varies in different cities and with different crime types. Most types of crimes have seen fewer incidents numbers during the pandemic than before. Several Granger causal correlations are found between the COVID-19 cases and crime incidents in these cities. More specifically, crime incidents numbers of theft in Washington DC, Chicago and New York City, fraud in Washington DC and Los Angeles, assault in Chicago and New York City, and robbery in Los Angeles and New York City, are significantly Granger caused by the new case of COVID-19. These results may be partially explained by the Routine Activity theory and Opportunity theory that people may prefer to stay at home to avoid being infected with COVID-19 during the pandemic, giving fewer chances for crimes. In addition, involving new cases of COVID-19 as a variable can slightly improve the performance of crime prediction in terms of some specific types of crime. This study is expected to obtain deeper insights into the relationships between the pandemic and crime in different cities, and to provide new attempts for crime prediction during the pandemic.

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调查新冠肺炎疫情对不同城市犯罪事件数量的影响
2019冠状病毒病大流行正在严重影响世界各地人类生活和社会的许多方面。为了调查这次大流行是否也影响犯罪,我们调查了四个大城市(即华盛顿特区、芝加哥、纽约市和洛杉矶)在大流行之前和期间犯罪事件数量的差异。此外,还检验了犯罪事件数量与新冠肺炎病例之间的格兰杰因果关系。在此基础上,利用具有显著格兰杰因果关系的COVID-19新发病例来提高犯罪预测性能。结果表明,犯罪总体上受到COVID-19大流行的影响,但不同城市和不同犯罪类型的影响有所不同。在大流行期间,大多数类型的犯罪事件数量都比以前少。这些城市的新冠肺炎病例与犯罪事件之间存在格兰杰因果关系。具体而言,华盛顿特区、芝加哥特区和纽约的盗窃、华盛顿特区和洛杉矶的欺诈、芝加哥和纽约的袭击、洛杉矶和纽约的抢劫等犯罪事件数量都是由新冠肺炎病例显著格兰杰引起的。这些结果可能部分解释为常规活动理论和机会理论,即在大流行期间,人们可能更愿意呆在家里,以避免感染COVID-19,从而减少了犯罪的机会。此外,将新发COVID-19病例作为一个变量,可以在某些特定类型的犯罪方面略微提高犯罪预测的性能。该研究有望更深入地了解大流行与不同城市犯罪之间的关系,并为大流行期间的犯罪预测提供新的尝试。
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来源期刊
安全科学与韧性(英文)
安全科学与韧性(英文) Management Science and Operations Research, Safety, Risk, Reliability and Quality, Safety Research
CiteScore
8.70
自引率
0.00%
发文量
0
审稿时长
72 days
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