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dc.contributor.authorFrank, R
dc.contributor.authorDabbaghian, V
dc.contributor.authorReid, AA
dc.contributor.authorSingh, SK
dc.contributor.authorCinnamon, J
dc.contributor.authorBrantingham, PL
dc.date.accessioned2017-12-07T10:17:26Z
dc.date.issued2011-01-31
dc.description.abstractThe 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.en_GB
dc.description.sponsorshipThe project was supported in part by the CTEF MoCSSy Program and the ICURS research center at Simon Fraser University.en_GB
dc.identifier.citationVol. 14 (1), article 6en_GB
dc.identifier.doi10.18564/jasss.1734
dc.identifier.doi10.24378/exe.3
dc.identifier.urihttp://hdl.handle.net/10871/30599
dc.language.isoenen_GB
dc.publisherSimSoc Consortiumen_GB
dc.subjectCrime Attractoren_GB
dc.subjectDirectionality of Crimeen_GB
dc.subjectMathematical Modelingen_GB
dc.subjectComputational Criminologyen_GB
dc.titlePower of Criminal Attractors: Modeling the Pull of Activity Nodesen_GB
dc.typeArticleen_GB
dc.date.available2017-12-07T10:17:26Z
exeter.article-number1en_GB
dc.descriptionThis is the final version of the article. Available from the publisher via the DOI in this record.en_GB
dc.identifier.journalJournal of Artificial Societies and Social Simulationen_GB


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