Khalfa Robin, Snaphaan Thom, Hardyns Wim
Department of Criminology, Criminal Law and Social Law Ghent University, Universiteitstraat 4, 9000 Ghent, Belgium.
Centre of Expertise Safe and Resilient Society, Avans University of Applied Sciences, Hugo de Grootlaan 37, 5223 LB 's-Hertogenbosch, Netherlands.
Crime Sci. 2024;13(1):23. doi: 10.1186/s40163-024-00221-x. Epub 2024 Aug 24.
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.
本研究介绍了一种算法策略，用于使用警察巡逻单位的GPS数据测量微观地理单元的警察出勤维度。所提出的策略基于谢尔曼等人（《当代刑事司法杂志》30:95 - 122，2014年）的热点巡逻策略综合理论，重点关注三个关键维度：警察出勤的频率、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衍生的数据序列进行预处理，以生成这三个核心概念的度量。本文提出的度量提供了一个框架，用于利用GPS数据调查微观地理单元中警察出勤对犯罪及其他相关犯罪相关结果的影响。这种算法策略可能会进一步推动基于地点的警务举措中循证策略的发展。
