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Generating crime data using agent-based simulation
Affiliation:1. Vicomtech-IK4 Research Centre, Mikeletegi Pasealekua 57, 20009 San Sebastian, Spain;2. Computer Intelligence Group, UPV/EHU, Dept. CCIA, Paseo Manuel Lardizabal, 20018 San Sebastian, Spain;3. ACPySS, Paseo Manuel Lardizabal, 20018 San Sebastian, Spain;4. Business Intelligence Research Center (CEINE), Industrial Engineering Department, University of Chile, Beauche 851, Santiago 8370456, Chile;1. Departamento de Ingeniería Industrial, Universidad de Chile, Chile;2. Departement d’Informatique, École normale supérieure, France;3. Facultad de Matemáticas & Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Chile;1. Departamento de Ingeniería Mecánica, Universidad de Sevilla, Escuela Técnica Superior de Ingeniería, Camino de los Descubrimientos, s/n E-41092 Sevilla, Spain;2. Department of Mechanical Engineering, University of Zaragoza, Aragón Institute of Engineering Research (I3A), Spain
Abstract:Policing plays an important role in combating street crime. Though policing actions have a dissuasive impact on criminal behavior, they can also have unpredictable and even undesirable effects such as displacement of crime hot-spots. This paper presents an agent-based simulation model that generates artificial street-crime data which can be used to test different policing strategies in a virtual environment. The model can thus evaluate the strategies’ effectiveness and collateral effects before putting them into practice and provide support for the policing decision-making process. Based on this model, a crime simulator was implemented in Repast Simphony and a series of test simulations on fictitious and real cities were carried out. The proposed formulation was successfully validated, confirming its potential as a powerful tool for the study of street crime.
Keywords:Crime  Simulation  Agent-based models
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