An algorithmic strategy for measuring police presence with GPS data.

IF 3.1 Q1 CRIMINOLOGY & PENOLOGY
Crime Science Pub Date : 2024-01-01 Epub Date: 2024-08-24 DOI:10.1186/s40163-024-00221-x
Robin Khalfa, Thom Snaphaan, Wim Hardyns
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引用次数: 0

Abstract

This study introduces an algorithmic strategy for measuring dimensions of police presence at microgeographic units using GPS data from police patrol units. The proposed strategy builds upon the integrated theory of hot spots patrol strategy from Sherman et al. (Journal of Contemporary Criminal Justice 30:95-122, 2014), focusing on three key dimensions: the frequency, duration, and intermittency of police presence. This study provides pseudocodes for the algorithm, facilitating the pre-processing of GPS-derived data sequences to generate measures of these three central concepts. The measures presented in this article offer a framework for investigating the impact of police presence on crime and other relevant crime-related outcomes at microgeographic units, using GPS data. This algorithmic strategy may further contribute to the development of evidence-based strategies in place-based policing initiatives.

Abstract Image

利用 GPS 数据测量警察存在的算法策略。
本研究介绍了一种算法策略,利用来自警察巡逻队的 GPS 数据来测量警察在微观地理单元的存在维度。所提议的策略以 Sherman 等人的热点巡逻策略综合理论(《当代刑事司法期刊》30:95-122,2014 年)为基础,重点关注三个关键维度:警察出现的频率、持续时间和间歇性。本研究提供了该算法的伪代码,便于对 GPS 数据序列进行预处理,以生成这三个核心概念的测量值。本文中介绍的测量方法提供了一个框架,可利用 GPS 数据调查在微观地理单元上警察的存在对犯罪和其他相关犯罪结果的影响。这种算法策略可进一步促进在基于地点的警务行动中制定以证据为基础的战略。
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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.
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