Police Patrol Districting Method and Simulation Evaluation Using Agent-Based Model & GIS

TitlePolice Patrol Districting Method and Simulation Evaluation Using Agent-Based Model & GIS
Publication TypeJournal Article
Year of Publication2013
AuthorsZhang, Y., and D. Brown
JournalSecurity Informatics
Volume2
Issue13
Pagination1-13
Date Published03/2013
ISSN2190-8532
Abstract

Police patrols play an important role in public safety. The patrol district design is an important factor affecting the patrol performances, such as average response time and workload variation. The redistricting or redrawing police command boundaries can be described as partitioning a police jurisdiction into command districts with the constraints such as contiguity and compactness. The size of the possible sample space is large and the corresponding graph-partitioning problem is NP-complete. In our approach, the patrol districting plans generated by a parameterized redistricting procedure are evaluated using an agent-based simulation model we implemented in Java Repast in a geographic information system (GIS) environment. The relationship between districting parameters and response variables is studied and better districting plans can be generated. After in-depth evaluations of these plans, we perform a Pareto analysis of the outputs from the simulation to find the non-dominated set of plans on each of the objectives. This paper also includes a case study for the police department of Charlottesville, VA, USA. Simulation results show that patrol performance can be improved compared with the current districting solution.

Citation Keyzhang2013police
Refereed DesignationRefereed
AttachmentSize
zhang2013police.pdf1.69 MB