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Modelling High-Intensity Crime Areas: Comparing Police Perceptions with Offence/Offender Data in Sheffield

Massimo Craglia, Robert Haining and Paola Signoretta
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Massimo Craglia: Department of Town and Regional Planning, University of Sheffield, Sheffield S10 2TN, England
Robert Haining: Department of Geography, University of Cambridge, Downing Place, Cambridge CB2 3EN, England
Paola Signoretta: School of Geography, University of Nottingham, University Park, Nottingham NG7 2RD, England

Environment and Planning A, 2005, vol. 37, issue 3, 503-524

Abstract: High-intensity crime areas are areas where high levels of violent crime coexist with large numbers of offenders, thereby creating an area that may present significant policing problems. In an earlier paper, the authors analysed police perceptions of high-intensity crime areas, and now extend that earlier work by comparing the police's perception of where such areas are located with offence/offender data. They also report on the construction of predictive models that identify the area-specific attributes that explain the distribution of such areas. By focusing on the city of Sheffield, the authors draw on a wider range of local area data than was possible in the original paper, and also question how widespread such areas may be in Sheffield.

Date: 2005
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:37:y:2005:i:3:p:503-524

DOI: 10.1068/a36143

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