Domestic Burglary Repeats and Space-Time Clusters
By Kate Bowers, Shane D. Johnson. 2005
220 citations recorded by the source corpus.
Subfields: Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/76f33754d281dafa4a16b1efd8608c19fad43c3f
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In Sociology and Political Science
- Ashley B. Pitcher
- Shane D. Johnson
- Wim Bernasco
- Lucia Summers
- K. Pease
- George E. Tita
- N. Rodr'iguez
- Jerry H. Ratcliffe
Citations in the corpus
- Modeling Micro-Level Crime Location Choice: Application of the Discrete Choice Framework to Crime at Places (2010, unknown): “…the distances that burglars travel from home to the burgled residence (e.g., Snook 2004), some investigate space-time clustering in burglary (e.g., Bowers and Johnson 2005), and some model the distribution of burglaries using (spatial) regression models (e.g., Ceccato et al. 2002) or hierarchical…”
- Adding police to a mathematical model of burglary (2010, background): “The value for η is chosen to be small because repeat victimisation is much stronger than near-repeat victimisation (see [3]).”
- On the global well-posedness theory for a class of PDE models for criminal activity (2013, background): “More specifically, the theory modeled in [11] is the ‘repeat and near-repeat victimization effect’ [12–16].”
- Offender as Forager? A Direct Test of the Boost Account of Victimization (2009, background): “In the UK at least, risk is greater for homes on the same side of the road as those burgled (Bowers and Johnson 2005) within the elevated risk area.”
- Exploring Theories of Victimization Using a Mathematical Model of Burglary (2011, background): “For example, near repeats may be more (or less) likely on streets segments which offer good visibility (Bowers and Johnson, 2005), or on particular types of street segment (e.g. arterial or local roads).”
- Same-Offender Involvement in Repeat and Near Repeat Burglaries (2008, background): “…first established in Beenleigh, a police division near Brisbane in south-east Queensland, Australia (Townsley et al. 2003), and in Liverpool, UK (Bowers and Johnson 2004, 2005; Bowers et al. 2004; Johnson and Bowers 2004a, 2004b), and its ubiquity has recently been demonstrated in no fewer than…”
- A STATISTICAL MODEL OF CRIMINAL BEHAVIOR (2008, background): “Also, temporal correlations between crimes are well documented, with victims or their close neighbors often being repeatedly targeted within short periods of time.(26,27,25,1) These spatio-temporal aggregates of criminal occurrences are commonly referred to as crime “hotspots”, and thanks to recent ”