This dissertation presents research that had the main goal of developing a dynamic policing simulation framework based on the concept of prediction-led policing that combines decision strategy, predictive policing, and simulation models to enable the study of strategies for dynamic employment of police resources in order to reduce crime.
The research behind this document aimed to build a framework that bridges the gap between predictive policing and dynamic policing strategies, to create the concept of dynamic policing. This dissertation therefore seeks to create a framework that facilitates the assessment of dynamic policing strategies to reduce crime and is based around a discrete-event simulation model to simulate how dynamic policing strategy performs. The framework would enable exploration of several dynamic strategies, including those that are currently employed by police departments. The dissertation is organized into chapters that provide an introduction and problem statement; the second chapter is a literature review on predictive policing, policing strategy, simulation, and dynamic policing; the third chapter describes the framework based on prediction-led policing concept; the fourth chapter discusses a preliminary solution model built in WITNESS; in chapter five, the framework is demonstrated with an APD case study; and the conclusion discusses project outcomes possible future work.
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