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Results for residential burglary (leeds)

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Author: Malleson, Nick

Title: Simulating Burglary with an Agent-Based Model

Summary: Understanding the processes behind crime is an important research area in criminology, which has major implications for both improving policies and developing effective crime prevention strategies (Brantingham and Brantingham, 2004; Groff, 2007a). In order to test modern opportunity theories it is essential to be able model the complex, dynamic interactions of the individuals involved in each crime event. However, studies to date are limited in their ability to provide consistent support for these theories due to an inability to model complex micro-level interactions (Groff, 2007a). Agent-based modelling (ABM) represents a shift in the social sciences towards the use of models that work at the level of the individual. Using the ABM paradigm, human agents can be implemented with realistic human behaviour who interact with each other and their environment to create a dynamic system which mimics a real scenario. This paper presents the development and application of an ABM for simulating the occurrence of residential burglary at an individual level. Experiments are conducted investigate the effectiveness of burglary reduction strategies and criminology theories. The model is able to demonstrate that a commonly used crime-reduction initiative is ineffective at removing crime hotspots.

Details: Leeds, UK: School of Geography, University of Leeds, 2009. 45p.

Source: Internet Resource: Working Paper 09/3: Accessed January 20, 2012 at: http://www.geog.leeds.ac.uk/fileadmin/downloads/school/research/wpapers/09-03.pdf

Year: 2009

Country: United Kingdom

URL: http://www.geog.leeds.ac.uk/fileadmin/downloads/school/research/wpapers/09-03.pdf

Shelf Number: 123689

Keywords:
Crime Analysis
Crime Prevention
Geographic Studies
Property Crimes
Residential Burglary (Leeds)