Domestic Burglary Repeats and Space-Time Clusters

Author:

Bowers Kate J.1,Johnson Shane D.1

Affiliation:

1. Jill Dando Institute of Crime Science, University College London, UK,

Abstract

Predicting when and where crimes are likely to occur is crucial for prioritizing police resources. In a companion paper (Johnson and Bowers 2004), we showed that burglaries clustered within 1-2 months and up to 300-400 metres of a prior burglary, i.e. a domestic burglary could profitably trigger time- and space-limited resource deployment around the burglary. Research is here presented which refines the priorities that should be given in such deployment. It demonstrates that (a) whereas repeat victimization proper tended to occur in more deprived areas, space-time clustering was more evident in affluent areas, (b) houses next to a burgled home were at a substantially heightened risk relative to those located further away, particularly within one week of an initial burglary, (c) properties located on the same side of the street as a burgled house were at significantly greater risk compared with those opposite, even when corrections are made for differences in linear distances between homes, (d) houses with probably identical layouts (e.g. houses two, four, six, etc., doors away from a burgled property) were slightly more at risk than those with the reverse layout, but these differences are too slight to inform crime reduction practice. Taken together, these patterns may be used to prioritize attention within the two months after, and up to 400 metres from, a prior burglary identified by Johnson and Bowers (2004) as encompassing homes at elevated burglary risk.

Publisher

SAGE Publications

Subject

Law

Reference14 articles.

1. Crime Detection and Prevention Series Paper 58;Anderson, D.,1995

2. Crime Reduction Research Series Paper 7;Curtin, L.,2001

Cited by 138 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3