An algorithmic strategy for measuring police presence with GPS data

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.

Authors

Publication Details

Journal
CrimRxiv
Published
2024-09-01
DOI
https://doi.org/10.21428/cb6ab371.c8c9f541
Citations
1
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

An algorithmic strategy for measuring police presence with GPS data

Robin Khalfa, Thom Snaphaan, Wim Hardyns
1 citations
CrimRxiv
Human Mobility and Location-Based Analysis
article

An algorithmic strategy for measuring police presence with GPS data

Robin Khalfa, Thom Snaphaan, Wim Hardyns
article en
1 citations

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.

CrimRxiv
Openalex Percentile: Top 89%
Human Mobility and Location-Based Analysis
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