Malleson, N, Heppenstall, A and See, L (2010) Crime reduction through simulation: An agent-based model of burglary. Computers, Environment and Urban Systems, 34 (3). 236 - 250. ISSN 0198-9715
Abstract
Traditionally, researchers have employed statistical methods to model crime. However, these approaches are limited by being unable to model individual actions and behaviour. Brantingham and Brantingham (1993) described that in their opinion a useful and productive model for simulating crime would have the ability to model the occurrence of crime and the motivations behind it both temporally and spatially. This paper presents the construction and application of an agent-based model (ABM) for simulating occurrences of residential burglary at an individual level. It presents a novel framework that allows both human and environmental factors to be simulated. Although other agent-based models of crime do exist, this research represents the first working example of integrating a behavioural framework into an ABM for the simulation of crime. An artificial city, loosely based on the real city of Leeds, UK, and an artificial population were constructed, and experiments were run to explore the potential of the model to realistically simulate the main processes and drivers within this system. The results are highly promising, demonstrating the potential of this approach for both understanding processes behind crime and improving policies and developing effective crime prevention strategies.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Computer Simulation; agent-based modelling; crime reduction; Burglary |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Nov 2013 17:51 |
Last Modified: | 15 Sep 2014 02:49 |
Published Version: | http://dx.doi.org/10.1016/j.compenvurbsys.2009.10.... |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.compenvurbsys.2009.10.005 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:76813 |