<?xml version='1.0' encoding='utf-8'?>
      <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/">
      <dc:title>Anticipating and Combating Community Decay and Crime in Washington, DC, and Cleveland, Ohio, 1980-1990</dc:title>
		
      		<dc:creator>Harrell, Adele</dc:creator>
      	
      		<dc:creator>Gouvis, Caterina</dc:creator>
      	
		
      		<dc:subject>communities</dc:subject>
      	
      		<dc:subject>crime prediction</dc:subject>
      	
      		<dc:subject>crime prevention</dc:subject>
      	
      		<dc:subject>crime rates</dc:subject>
      	
      		<dc:subject>intervention strategies</dc:subject>
      	
      		<dc:subject>neighborhood conditions</dc:subject>
      	
      		<dc:subject>urban decline</dc:subject>
      	
		
      		<dc:subject>NACJD.XIV</dc:subject>
      	
      		<dc:subject>ICPSR.XVII.E</dc:subject>
      	
      		<dc:subject>NACJD.VII</dc:subject>
      	
      	<dc:description>The Urban Institute undertook a comprehensive assessment of
 communities approaching decay to provide public officials with
 strategies for identifying communities in the early stages of decay
 and intervening effectively to prevent continued deterioration and
 crime. Although community decline is a dynamic spiral downward in
 which the physical condition of the neighborhood, adherence to laws
 and conventional behavioral norms, and economic resources worsen, the
 question of whether decay fosters or signals increasing risk of crime,
 or crime fosters decay (as investors and residents flee as reactions
 to crime), or both, is not easily answered. Using specific indicators
 to identify future trends, predictor models for Washington, DC, and
 Cleveland were prepared, based on data available for each city. The
 models were designed to predict whether a census tract should be
 identified as at risk for very high crime and were tested using
 logistic regression. The classification of a tract as a "very high
 crime" tract was based on its crime rate compared to crime rates for
 other tracts in the same city. To control for differences in
 population and to facilitate cross-tract comparisons, counts of crime
 incidents and other events were converted to rates per 1,000
 residents. Tracts with less than 100 residents were considered
 nonresidential or institutional and were deleted from the analysis.
 Washington, DC, variables include rates for arson and drug sales or
 possession, percentage of lots zoned for commercial use, percentage of
 housing occupied by owners, scale of family poverty, presence of
 public housing units for 1980, 1983, and 1988, and rates for
 aggravated assaults, auto thefts, burglaries, homicides, rapes, and
 robberies for 1980, 1983, 1988, and 1990. Cleveland variables include
 rates for auto thefts, burglaries, homicides, rapes, robberies, drug
 sales or possession, and delinquency filings in juvenile court, and
 scale of family poverty for 1980 through 1989. Rates for aggravated
 assaults are provided for 1986 through 1989 and rates for arson are
provided for 1983 through 1988.</dc:description>
		
      	<dc:date>2006-01-12</dc:date>
	    
      		<dc:type>aggregate data, and census/enumeration data</dc:type>
      	
      	<dc:identifier>6486</dc:identifier>
      	<dc:identifier>10.3886/ICPSR06486.v1</dc:identifier>
    	
      		<dc:source>District of Columbia Office of Planning, Police
 Department, Office of Criminal Justice Plans and Analysis, and
 Division of Research and Statistics of the Commission of Public
 Health, and the Center for Urban Poverty and Social Change, Mandel
School of Applied Social Sciences, Case Western Reserve University</dc:source>
      	
    	
      		<dc:coverage>Cleveland</dc:coverage>
      	
      		<dc:coverage>District of Columbia</dc:coverage>
      	
      		<dc:coverage>Ohio</dc:coverage>
      	
      		<dc:coverage>United States</dc:coverage>
      	
		
      		<dc:coverage>1980--1990</dc:coverage>
      	
      	<dc:rights> ICPSR metadata records are licensed under a Creative Commons Attribution-Noncommercial 
        3.0 United States License (http://creativecommons.org/licenses/by-nc/3.0/us/).</dc:rights>
      </oai_dc:dc>
