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Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities
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 Cit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8849845/ http://dx.doi.org/10.1016/j.jnlssr.2021.10.008 |
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author | Hou, Miaomiao Zeng, Zhaolong Hu, Xiaofeng Hu, Jinming |
author_facet | Hou, Miaomiao Zeng, Zhaolong Hu, Xiaofeng Hu, Jinming |
author_sort | Hou, Miaomiao |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8849845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88498452022-02-18 Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities Hou, Miaomiao Zeng, Zhaolong Hu, Xiaofeng Hu, Jinming Journal of Safety Science and Resilience Article 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. China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. 2022-12 2022-02-17 /pmc/articles/PMC8849845/ http://dx.doi.org/10.1016/j.jnlssr.2021.10.008 Text en © 2022 China Science Publishing & Media Ltd. Publishing Services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Hou, Miaomiao Zeng, Zhaolong Hu, Xiaofeng Hu, Jinming Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities |
title | Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities |
title_full | Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities |
title_fullStr | Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities |
title_full_unstemmed | Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities |
title_short | Investigating the impact of the COVID-19 pandemic on crime incidents number in different cities |
title_sort | investigating the impact of the covid-19 pandemic on crime incidents number in different cities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8849845/ http://dx.doi.org/10.1016/j.jnlssr.2021.10.008 |
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