Generating crime data using agent-based simulation
Author
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.
General note
Artículo de publicación ISI
Identifier
URI: https://repositorio.uchile.cl/handle/2250/126089
DOI: doi: 10.1016/j.compenvurbsys.2013.09.001
Quote Item
Computers, Environment and Urban Systems 42 (2013) 26–41
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