Power of Criminal Attractors: Modeling the Pull of Activity Nodes

Richard Frank (), Vahid Dabbaghian (), Andrew Reid (), Suraj Singh (), Jonathan Cinnamon () and Patricia Brantingham ()
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Vahid Dabbaghian: http://www.sfu.ca/~vdabbagh/

Journal of Artificial Societies and Social Simulation, 2011, vol. 14, issue 1, 6

Abstract: The spatial distribution of crime has been a long-standing interest in the field of criminology. Research in this area has shown that activity nodes and travel paths are key components that help to define patterns of offending. Little research, however, has considered the influence of activity nodes on the spatial distribution of crimes in crime neutral areas - those where crimes are more haphazardly dispersed. Further, a review of the literature has revealed a lack of research in determining the relative strength of attraction that different types of activity nodes possess based on characteristics of criminal events in their immediate surrounds. In this paper we use offenders' home locations and the locations of their crimes to define directional and distance parameters. Using these parameters we apply mathematical structures to define rules by which different models may behave to investigate the influence of activity nodes on the spatial distribution of crimes in crime neutral areas. The findings suggest an increasing likelihood of crime as a function of geometric angle and distance from an offender's home location to the site of the criminal event. Implications of the results are discussed.

Keywords: Crime Attractor; Directionality of Crime; Mathematical Modeling; Computational Criminology (search for similar items in EconPapers)
Date: 2011-01-31
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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2010-31-3

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