每周犯罪率。

IF 2.8 1区 社会学 Q1 CRIMINOLOGY & PENOLOGY Journal of Quantitative Criminology Pub Date : 2023-01-01 Epub Date: 2021-09-01 DOI:10.1007/s10940-021-09533-6
Rafael Prieto Curiel
{"title":"每周犯罪率。","authors":"Rafael Prieto Curiel","doi":"10.1007/s10940-021-09533-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Examine and visualise the temporal concentration of different crime types and detect if their intensity varies through distinct moments of the week.</p><p><strong>Methods: </strong>The \"heartbeat of the crime signal\" is constructed by overlapping the weekly time they were suffered. This study is based on more than 220,000 crimes reported to the Mexico City Police Department between January 2016 and March 2020 to capture the day and time of crimes and detect moments of the week in which the intensity exceeds the average frequency. A new metric for the temporal concentration of crime is constructed for different types of crime and regions of the city based on the corresponding heartbeats.</p><p><strong>Results: </strong>The temporal concentration of crime is a stable signature of different types of crime. The intensity of robberies and theft is more homogeneous from Monday to Sunday, but robberies of a bank user are highly concentrated in a week, meaning that few hours of the week capture most of the burning moments. The concentration is not homogeneously distributed in the city, with some regions experiencing a much higher temporal concentration of crime.</p><p><strong>Conclusions: </strong>Crime is highly concentrated when observed in its weekly patterns, but different types of crime and regions exhibit substantially distinct concentration levels. The temporal trace indicates specific moments for the burning times of different types of crime, which is a critical element of a policing strategy.</p>","PeriodicalId":48080,"journal":{"name":"Journal of Quantitative Criminology","volume":"39 1","pages":"97-124"},"PeriodicalIF":2.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408821/pdf/","citationCount":"0","resultStr":"{\"title\":\"Weekly Crime Concentration.\",\"authors\":\"Rafael Prieto Curiel\",\"doi\":\"10.1007/s10940-021-09533-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Examine and visualise the temporal concentration of different crime types and detect if their intensity varies through distinct moments of the week.</p><p><strong>Methods: </strong>The \\\"heartbeat of the crime signal\\\" is constructed by overlapping the weekly time they were suffered. This study is based on more than 220,000 crimes reported to the Mexico City Police Department between January 2016 and March 2020 to capture the day and time of crimes and detect moments of the week in which the intensity exceeds the average frequency. A new metric for the temporal concentration of crime is constructed for different types of crime and regions of the city based on the corresponding heartbeats.</p><p><strong>Results: </strong>The temporal concentration of crime is a stable signature of different types of crime. The intensity of robberies and theft is more homogeneous from Monday to Sunday, but robberies of a bank user are highly concentrated in a week, meaning that few hours of the week capture most of the burning moments. The concentration is not homogeneously distributed in the city, with some regions experiencing a much higher temporal concentration of crime.</p><p><strong>Conclusions: </strong>Crime is highly concentrated when observed in its weekly patterns, but different types of crime and regions exhibit substantially distinct concentration levels. The temporal trace indicates specific moments for the burning times of different types of crime, which is a critical element of a policing strategy.</p>\",\"PeriodicalId\":48080,\"journal\":{\"name\":\"Journal of Quantitative Criminology\",\"volume\":\"39 1\",\"pages\":\"97-124\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408821/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Quantitative Criminology\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1007/s10940-021-09533-6\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/9/1 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"CRIMINOLOGY & PENOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Quantitative Criminology","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1007/s10940-021-09533-6","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/9/1 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目标研究不同犯罪类型在时间上的集中程度并将其可视化,检测其强度是否在一周中的不同时刻有所变化:方法:通过重叠每周发生的犯罪时间,构建 "犯罪信号的心跳"。这项研究基于 2016 年 1 月至 2020 年 3 月期间向墨西哥城警察局报告的 22 万多起犯罪案件,以捕捉犯罪发生的日期和时间,并检测一周中犯罪强度超过平均频率的时刻。根据相应的心跳,为不同类型的犯罪和城市的不同区域构建了一个新的犯罪时间集中度指标:犯罪的时间集中度是不同类型犯罪的稳定特征。从周一到周日,抢劫和盗窃的强度较为均匀,但抢劫银行用户的案件高度集中在一周内,这意味着一周中的几个小时占据了大部分的燃烧时刻。这种集中在城市中的分布并不均匀,有些地区的犯罪时间集中度要高得多:结论:从每周的模式来看,犯罪高度集中,但不同类型的犯罪和不同地区的犯罪集中程度却大相径庭。时间轨迹显示了不同类型犯罪的特定高发时段,这是警务策略的关键要素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

摘要图片

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
Weekly Crime Concentration.

Objectives: Examine and visualise the temporal concentration of different crime types and detect if their intensity varies through distinct moments of the week.

Methods: The "heartbeat of the crime signal" is constructed by overlapping the weekly time they were suffered. This study is based on more than 220,000 crimes reported to the Mexico City Police Department between January 2016 and March 2020 to capture the day and time of crimes and detect moments of the week in which the intensity exceeds the average frequency. A new metric for the temporal concentration of crime is constructed for different types of crime and regions of the city based on the corresponding heartbeats.

Results: The temporal concentration of crime is a stable signature of different types of crime. The intensity of robberies and theft is more homogeneous from Monday to Sunday, but robberies of a bank user are highly concentrated in a week, meaning that few hours of the week capture most of the burning moments. The concentration is not homogeneously distributed in the city, with some regions experiencing a much higher temporal concentration of crime.

Conclusions: Crime is highly concentrated when observed in its weekly patterns, but different types of crime and regions exhibit substantially distinct concentration levels. The temporal trace indicates specific moments for the burning times of different types of crime, which is a critical element of a policing strategy.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Quantitative Criminology
Journal of Quantitative Criminology CRIMINOLOGY & PENOLOGY-
CiteScore
7.70
自引率
2.80%
发文量
24
期刊介绍: The Journal of Quantitative Criminology focuses on research advances from such fields as statistics, sociology, geography, political science, economics, and engineering. This timely journal publishes papers that apply quantitative techniques of all levels of complexity to substantive, methodological, or evaluative concerns of interest to the criminological community. Features include original research, brief methodological critiques, and papers that explore new directions for studying a broad range of criminological topics.
期刊最新文献
Social Change, Cohort Effects, and Dynamics of the Age–Crime Relationship: Age and Crime in South Korea from 1967 to 2011 Now You See It, Now You Don’t: A Simulation and Illustration of the Importance of Treating Incomplete Data in Estimating Race Effects in Sentencing Can We Compare Attitudes Towards Crime Around the World? Assessing Measurement Invariance of the Morally Debatable Behavior Scale Across 44 Countries Racial Bias in Criminal Records Investigating the Dynamics of Outlaw Motorcycle Gang Co-Offending Networks: The Utility of Relational Hyper Event Models
×
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