Time varying delineation of police patrol areas: A p-median problem approach for daytime and nighttime patrolling
Topics: Geographic Information Science and Systems
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Keywords: p-median problem, area delineation, police patrol, traffic safety
Session Type: Virtual Paper Abstract
Day: Friday
Session Start / End Time: 2/25/2022 03:40 PM (Eastern Time (US & Canada)) - 2/25/2022 05:00 PM (Eastern Time (US & Canada))
Room: Virtual 59
Authors:
Changho Lee, The University of Texas at Dallas
Hyun Kim, University of Tennessee at Knoxville
Yongwan Chun, The University of Texas at Dallas
Daniel Griffith, The University of Texas at Dallas
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Abstract
Vehicle crashes are one of the factors diminishing traffic safety, which constitutes a national issue of concern. An effective delineation of patrol areas can effectively assist prevention efforts for road crashes. Because this type of crash is not homogeneously distributed in space and time, police patrolling that reflects concentrations of road crashes would lead to an enhanced prevention result. This paper investigates a police patrol delineation that varies in time using a p-median problem approach. Different patterns of road crashes between daytime and nighttime raise the need for different patrolling areas for each of them. The proposed approach is illustrated with an empirical application of police patrols for the city of Plano, a suburban area of Dallas, Texas.
The weights of the proposed p-median model are specified as the aggregate numbers of crashes from 2011 to 2021 on major road arterials in Plano. The results show that a time varying approach can lead to an efficient and effective delineation for police patrolling, and that the p-median approach furnishes an effective method for implementing it.
Time varying delineation of police patrol areas: A p-median problem approach for daytime and nighttime patrolling
Category
Virtual Paper Abstract
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