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dc.contributor.authorJohnson, Patrick
dc.contributor.authorAndresen, Martin A
dc.contributor.authorMalleson, Nick
dc.date.accessioned2020-06-11T23:46:15Z
dc.date.available2020-06-11T23:46:15Z
dc.date.issued2020
dc.identifier.issn0928-1371
dc.identifier.doi10.1007/s10610-020-09446-3
dc.identifier.urihttp://hdl.handle.net/10072/394477
dc.description.abstractAs a crime rate denominator, the ambient population has seen very limited use in a multivariate context. The current study employs a new measure of this population, constructed using cell tower location data from OpenCellID, to compare residential and ambient population-based crime rates. The chosen study area is Vancouver, BC, but the conclusions generalize to other administrations and the OpenCellID data have global coverage so the implications are applicable elsewhere. Five disaggregated property crime types are examined at the dissemination area level. Findings demonstrate striking differences in the spatial patterns of crime rates constructed using these two different measures of the population at risk. Multivariate results from spatial error models also highlight the substantial impact that the use of a theoretically informed crime rate denominator can have on pseudo R2 values, variable retention, and trends in significant relationships. Implications for theory testing and policy are discussed. In particular, the results suggest that policies designed around residential-based crime rates risk having no effect, or even of increasing crime.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSPRINGER
dc.relation.ispartofjournalEuropean Journal on Criminal Policy and Research
dc.subject.fieldofresearchCriminology
dc.subject.fieldofresearchLaw
dc.subject.fieldofresearchcode1602
dc.subject.fieldofresearchcode1801
dc.subject.keywordsSocial Sciences
dc.subject.keywordsCriminology & Penology
dc.subject.keywordsAmbient population
dc.subject.keywordsOpenCellID
dc.subject.keywordsPopulation at risk
dc.titleCell Towers and the Ambient Population: a Spatial Analysis of Disaggregated Property Crime
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationJohnson, P; Andresen, MA; Malleson, N, Cell Towers and the Ambient Population: a Spatial Analysis of Disaggregated Property Crime, European Journal on Criminal Policy and Research, 2020
dc.date.updated2020-06-08T04:57:44Z
dc.description.versionAccepted Manuscript (AM)
gro.description.notepublicThis publication has been entered in Griffith Research Online as an advanced online version.
gro.rights.copyright© 2020 Springer Netherlands. This is an electronic version of an article published in European Journal on Criminal Policy and Research, 2020. European Journal on Criminal Policy and Research is available online at: http://link.springer.com/ with the open URL of your article.
gro.hasfulltextFull Text
gro.griffith.authorAndresen, Martin A.


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