Crime and coronavirus: social distancing, lockdown, and the mobility elasticity of crime.

IF 3.1 Q1 CRIMINOLOGY & PENOLOGY Crime Science Pub Date : 2020-01-01 Epub Date: 2020-07-06 DOI:10.1186/s40163-020-00121-w
Eric Halford, Anthony Dixon, Graham Farrell, Nicolas Malleson, Nick Tilley
{"title":"Crime and coronavirus: social distancing, lockdown, and the mobility elasticity of crime.","authors":"Eric Halford,&nbsp;Anthony Dixon,&nbsp;Graham Farrell,&nbsp;Nicolas Malleson,&nbsp;Nick Tilley","doi":"10.1186/s40163-020-00121-w","DOIUrl":null,"url":null,"abstract":"<p><p>Governments around the world restricted movement of people, using social distancing and lockdowns, to help stem the global coronavirus (COVID-19) pandemic. We examine crime effects for one UK police force area in comparison to 5-year averages. There is variation in the onset of change by crime type, some declining from the WHO 'global pandemic' announcement of 11 March, others later. By 1 week after the 23 March lockdown, all recorded crime had declined 41%, with variation: shoplifting (- 62%), theft (- 52%), domestic abuse (- 45%), theft from vehicle (- 43%), assault (- 36%), burglary dwelling (- 25%) and burglary non-dwelling (- 25%). We use Google Covid-19 Community Mobility Reports to calculate the mobility elasticity of crime for four crime types, finding shoplifting and other theft inelastic but responsive to reduced retail sector mobility (MEC = 0.84, 0.71 respectively), burglary dwelling elastic to <i>increases</i> in residential area mobility (- 1), with assault inelastic but responsive to reduced workplace mobility (0.56). We theorise that crime rate changes were primarily caused by those in mobility, suggesting a mobility theory of crime change in the pandemic. We identify implications for crime theory, policy and future research.</p>","PeriodicalId":37844,"journal":{"name":"Crime Science","volume":"9 1","pages":"11"},"PeriodicalIF":3.1000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s40163-020-00121-w","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Crime Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s40163-020-00121-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2020/7/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
引用次数: 4

Abstract

Governments around the world restricted movement of people, using social distancing and lockdowns, to help stem the global coronavirus (COVID-19) pandemic. We examine crime effects for one UK police force area in comparison to 5-year averages. There is variation in the onset of change by crime type, some declining from the WHO 'global pandemic' announcement of 11 March, others later. By 1 week after the 23 March lockdown, all recorded crime had declined 41%, with variation: shoplifting (- 62%), theft (- 52%), domestic abuse (- 45%), theft from vehicle (- 43%), assault (- 36%), burglary dwelling (- 25%) and burglary non-dwelling (- 25%). We use Google Covid-19 Community Mobility Reports to calculate the mobility elasticity of crime for four crime types, finding shoplifting and other theft inelastic but responsive to reduced retail sector mobility (MEC = 0.84, 0.71 respectively), burglary dwelling elastic to increases in residential area mobility (- 1), with assault inelastic but responsive to reduced workplace mobility (0.56). We theorise that crime rate changes were primarily caused by those in mobility, suggesting a mobility theory of crime change in the pandemic. We identify implications for crime theory, policy and future research.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
犯罪和冠状病毒:社交距离、封锁和犯罪的流动性弹性。
世界各国政府通过保持社交距离和封锁来限制人员流动,以帮助遏制全球冠状病毒(COVID-19)大流行。我们将一个英国警察部队区域的犯罪影响与5年平均值进行比较。不同犯罪类型发生变化的时间有所不同,一些犯罪类型在世卫组织3月11日宣布“全球大流行”后有所下降,另一些犯罪类型则有所下降。截至3月23日封锁后一周,所有记录在案的犯罪下降了41%,各有不同:入店行窃(- 62%)、盗窃(- 52%)、家庭暴力(- 45%)、车辆盗窃(- 43%)、袭击(- 36%)、入室盗窃(- 25%)和入室盗窃(- 25%)。我们使用谷歌Covid-19社区流动性报告来计算四种犯罪类型的犯罪流动性弹性,发现入店行窃和其他盗窃无弹性,但对零售业流动性减少有反应(MEC分别= 0.84和0.71),入室行窃对住宅区流动性增加有弹性(- 1),袭击无弹性,但对工作场所流动性减少有反应(0.56)。我们的理论认为犯罪率的变化主要是由流动性引起的,这提出了大流行中犯罪变化的流动性理论。我们确定了对犯罪理论、政策和未来研究的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Crime Science
Crime Science Social Sciences-Cultural Studies
CiteScore
11.90
自引率
8.20%
发文量
12
审稿时长
13 weeks
期刊介绍: Crime Science is an international, interdisciplinary, peer-reviewed journal with an applied focus. The journal''s main focus is on research articles and systematic reviews that reflect the growing cooperation among a variety of fields, including environmental criminology, economics, engineering, geography, public health, psychology, statistics and urban planning, on improving the detection, prevention and understanding of crime and disorder. Crime Science will publish theoretical articles that are relevant to the field, for example, approaches that integrate theories from different disciplines. The goal of the journal is to broaden the scientific base for the understanding, analysis and control of crime and disorder. It is aimed at researchers, practitioners and policy-makers with an interest in crime reduction. It will also publish short contributions on timely topics including crime patterns, technological advances for detection and prevention, and analytical techniques, and on the crime reduction applications of research from a wide range of fields. Crime Science publishes research articles, systematic reviews, short contributions and theoretical articles. While Crime Science uses the APA reference style, the journal welcomes submissions using alternative reference styles on a case-by-case basis.
期刊最新文献
Exploring the usefulness of the INLA model in predicting levels of crime in the City of Johannesburg, South Africa Rapid assessment of human–elephant conflict: a crime science approach The heterogeneous effects of COVID-19 lockdowns on crime across the world Understanding the role of mobility in the recorded levels of violent crimes during COVID-19 pandemic: a case study of Tamil Nadu, India Shootings across the rural–urban continuum
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1