Uncovering the True Picture: Evaluating Crime Reduction Initiatives Using Disaggregate Crime Data

2001 ◽  
Vol 3 (4) ◽  
pp. 7-24 ◽  
Author(s):  
Shane D Johnson ◽  
Kate J Bowers ◽  
Chris Young ◽  
Alex F G Hirschfield
Keyword(s):  
Crime Reduction ◽  
Crime Data

Implementing Restorative Justice Schemes (Crime Reduction Programme) A Report on The First Year

2004 ◽  
Author(s):  
Joanna Shapland ◽  
Anne Atkinson ◽  
Emily Colledge ◽  
James Dignan ◽  
Marie Howes ◽  
...  
Keyword(s):  
Restorative Justice ◽  
Crime Reduction ◽  
First Year

Utilizing Incident-Based Crime Data to Inform Strategic Interventions

2016 ◽  
Vol 17 (1) ◽  
pp. 3-27
Author(s):  
Jason Rydberg ◽  
Rebecca Stone ◽  
Edmund F. McGarrell
Keyword(s):  
Reporting System ◽  
Excess Risk ◽  
Public Health Approach ◽  
Least Squares Regression ◽  
Crime Data ◽  
Targeted Interventions ◽  
Aggravated Assault ◽  
System A ◽  
High Crime ◽  
Demographic Subgroups

A public health approach to violence prevention involves the empirical identification of groups and communities at the highest risk for violence to inform targeted interventions. We demonstrate the utility of complete incident-level crime data toward this end. Data for 32,056 unique incidents involving homicide, aggravated assault, and robbery were extracted from the 2013 Michigan Incident Crime Reporting system, a statewide National Incident-Based Reporting System (NIBRS) data system. Differential victimization rates were calculated across demographic subgroups and jurisdictions to identify patterns in risk. Two-stage least squares regression models were estimated to examine correlates of variation in excess risk. Analyses identified young Black males and females at relatively high risk for violent victimization, and that this risk was amplified within cities with disproportionately high crime rates. Multivariate models suggested concentrated disadvantage as the most stable correlate of variation in excess risk across Michigan cities and towns. The results highlight the importance of expanding NIBRS adoption and the deployment of focused interventions involving both short-term enforcement and long-term social reinvestment.

scholarly journals Where should police forces target their residential burglary reduction efforts? Using official victimisation data to predict burglary incidences at the neighbourhood level

Crime Science ◽  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
James Hunter ◽  
Bethany Ward ◽  
Andromachi Tseloni ◽  
Ken Pease
Keyword(s):  
Police Officers ◽  
Crime Rates ◽  
Crime Reduction ◽  
Residential Burglary ◽  
England And Wales ◽  
Neighbourhood Level ◽  
The Mean ◽  
Terrain Modelling ◽  
Modelling Approach ◽  
Police Forces

AbstractExpected crime rates that enable police forces to contrast recorded and anticipated spatial patterns of crime victimisation offer a valuable tool in evaluating the under-reporting of crime and inform/guide crime reduction initiatives. Prior to this study, police forces had no access to expected burglary maps at the neighbourhood level covering all parts of England and Wales. Drawing on analysis of the Crime Survey for England and Wales and employing a population terrain modelling approach, this paper utilises household and area characteristics to predict the mean residential burglary incidences per 1000 population across all neighbourhoods in England and Wales. The analysis identifies distinct differences in recorded and expected neighbourhood burglary incidences at the Output Area level, providing a catalyst for stimulating further reflection by police officers and crime analysts.

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