Graduation Semester and Year

2021

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Industrial Engineering

Department

Industrial and Manufacturing Systems Engineering

First Advisor

Yuan Zhou

Second Advisor

Victoria Chen

Abstract

Police patrolling plays a key role in responding to 911 calls and reducing crimes. The effectiveness of patrol operations heavily depends on the deployment of police officers – e.g., the number of officers assigned to specific policing districts or beats. The complex nature of the policing system – dynamic and stochastic criminal behavior, compounded with limited policing resources, render current (traditional) police operations, which are often managed in a reactive and stationary manner – often makes it very challenging to manage and control. This study develops an agent-based simulation framework to address the dynamically changing environment in police operations and provide a platform to study alternate police patrolling strategies. Moreover, this model is implemented to investigate the police patrol operation and improve its performance. A real-world case study was conducted to illustrate how this framework is used in dynamic patrol deployment planning. The findings of this research model can provide useful information to support policing decision-makers in developing more effective police deployment decision analytics and improves the dynamic patrol operational performance.

Keywords

Agent-based modeling, Police patrol operation, Hot spots Policing, Dynamic policing

Disciplines

Engineering | Operations Research, Systems Engineering and Industrial Engineering

Comments

Degree granted by The University of Texas at Arlington

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31346-2.zip (1298 kB)
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