Creating optimal patrol areas using the P-median model
Policing: An International Journal
ISSN: 1363-951X
Article publication date: 14 August 2018
Issue publication date: 23 May 2019
Abstract
Purpose
The purpose of this paper is to illustrate the use of the p-median model to construct optimal patrol areas. This can improve both time spent traveling to calls, as well as equalize call load between patrol areas.
Design/methodology/approach
The paper provides an introduction to the use of integer linear programs to create optimal patrol areas, as many analysts and researchers in the author’s field will not be familiar with such models. The analysis then introduces a set of linear constraints to the p-median problem that are applicable to police agencies, such as constraining call loads to be equal and making patrol areas geographically contiguous.
Findings
The analysis illustrates the technique on simplified simulated examples. The analysis then demonstrates the utility of the technique by showing how patrol areas in Carrollton, TX can be made both more efficient and equalize the call loads given the same number of patrol beats as currently in place.
Originality/value
Unlike prior applications of creating patrol areas, this paper introduces linear constraints into the p-median problem, making it much easier to solve than programs that have non-linear or multiple objective functions. Supplementary code using open source software is also provided, allowing other analysts or researchers to apply the model to their own data.
Keywords
Acknowledgements
The author would like to thank the Carrollton Police Department and in particular Cdr. Andrew Horn and Chief Derek Miller for the opportunity to collaborate on this project, data and code to replicate the findings can be obtained from www.dropbox.com/s/wdin3q22yfid0q9/Tutorial_PatrolAreas.zip?dl=0
Citation
Wheeler, A.P. (2019), "Creating optimal patrol areas using the P-median model", Policing: An International Journal, Vol. 42 No. 3, pp. 318-333. https://doi.org/10.1108/PIJPSM-02-2018-0027
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited