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                            Library & Multimedia
 Predicting Neighborhood Risk of Crime
NCJ Number
              155802

Author(s)
          Adele Harrell;
                        Caterina Gouvis
Date Published

1994
Length
              51 pages
Annotation
              The predictive value of community decay indicators is explored.
Abstract
              This study analyzes community decay indicators to assess whether records routinely maintained by public agencies can be used to identify areas of a city at risk of crime. Prediction models are based on a literature review which identified neighborhood characteristics associated with increased risk of crime. The models are tested using data from Washington, DC, and Cleveland, Ohio, selected because they could provide multiple indicators for multiple years between 1980 and 1990.  Longitudinal models test the relationship of very high rates of aggravated assault, burglary, and robbery to neighborhood risk factors measured at earlier points in time. Because data were available for a number of time spans in the two cities, the results provide replicate tests to the extent to which the location of criminal activity can be predicted by these factors and provide comparisons of predictive models across periods of differing duration. The relationship of crime and neighborhood decay is discussed. The methodology of the study is provided in detail. The findings of the study underscore the need for continued work on identifying neighborhood risk of crime. The authors of this study urge researchers and law enforcement agencies to continue to develop and test procedures to locate areas at risk of crime and to make these findings accessible at the practical level to policymakers and planners. The models tested were limited by the indicators available at the Census tract level for Washington and Cleveland; therefore, future work should examine the effects of decisions and dynamics based outside of the Census tract on the nature of relational networks within the tract.  Tables, references
      
  
          Additional Details
Grant Number(s)
        91-IJ-CX-K016


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Survey
    
  
  
Date Published: January 1, 1994
    
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