COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER – KEVIN CURTIN – DETERMINING OPTIMAL POLICE PATROL AREAS WITH MAXIMAL COVERING AND BACKUP COVERING LOCATION MODELS
COLLOQUIUM OF THE COMPUTATIONAL MATERIALS SCIENCE CENTER
AND THE DEPARTMENT OF COMPUTATIONAL & DATA SCIENCES
(CSI 898-Sec 001)
DETERMINING OPTIMAL POLICE PATROL AREAS WITH MAXIMAL COVERING AND BACKUP COVERING LOCATION MODELS
Department of Geography and Geoinformation Science and,
Department of Computational and Data Sciences
George Mason University,
In this talk I will present a new method for determining efficient spatial distributions of police patrols in a metropolitan region. A mathematical model called the police patrol area covering (PPAC) model is formulated and solved. The method uses inputs of police geography (divisions, sectors, beats, and response areas) within a geographic information systems (GIS) framework, analyzes that data through an optimal covering model formulation, and provides alternative optimal solutions for presentation to decision makers. The goals of this research are to increase the level of police service in the face of variation in both the demand for police services and the availability of police resources. Examples of the inputs from – and outputs to – GIS are provided through a pilot study of the city of Dallas, Texas.
November 30, 2015 – 4:30 p.m.
Exploratory Hall, Room 3301
Refreshments will be served at 4:15 PM.
Find the schedule at http://www.cmasc.gmu.edu/seminars.htm