An analysis of urban residential crimes using eigenvector spatial filtering
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The spatial distribution of crime incidences in urban neighborhoods is a reflection of their socio-economic environment and spatial inter-relations. Spatial interactions between offenders and victims lead to spatial autocorrelation of the crime incidences. The spatial autocorrelation among the incidences biases the interpretation of the ecological model in OLS framework. This research investigates residential crimes using residential burglaries and robberies occurred in the city of Columbus, Ohio, for 2000. In particular, the spatial distribution of incidence rates of residential crimes are accounted in OLS framework using eigenvectors, which reflect spatial dependence in crime patterns. Result presents that handling spatial autocorrelation enhanced model estimation, and both economic deprivation and crime opportunity are turned out significant in estimating residential crime rates.
Abstract
The spatial distribution of crime incidences in urban neighborhoods is a reflection of their socio-economic environment and spatial inter-relations. Spatial interactions between offenders and victims lead to spatial autocorrelation of the crime incidences. The spatial autocorrelation among the incidences biases the interpretation of the ecological model in OLS framework. This research investigates residential crimes using residential burglaries and robberies occurred in the city of Columbus, Ohio, for 2000. In particular, the spatial distribution of incidence rates of residential crimes are accounted in OLS framework using eigenvectors, which reflect spatial dependence in crime patterns. Result presents that handling spatial autocorrelation enhanced model estimation, and both economic deprivation and crime opportunity are turned out significant in estimating residential crime rates.
참고문헌 (44)
- Ackerman, W. V, "Socioeconomic correlates of increasing crime rates in smaller communities", Professional Geographer, 50, pp.372~387 (1998)
- Andresen, M. A, "A spatial analysis of crime in Vancouver, British Columbia: a synthesis of social disorganization and routine activity theory", Canadian Geographer-Geographe Canadien, 50, pp.487~502 (2006)
- Bailey, T. C, "Interactive Spatial Data Analysis, Essex" (1995), Longman
- Bailey, W. C, "Poverty, Inequality, and City Homicide Rates: Some not so Unexpected Findings", Criminology, 22, pp.531~550 (1984)
- Bottoms, A. E, "Crime and Insecurity in the City, inChanges in society, crime, and criminal justice in Europe: a challenge for criminological education and research" (1995), Kluwer Law International
- Bottoms, A. E, "Environmental Criminology, in M. Maguire", The Oxford Handbook of Criminology, ~ (1997)
- Brantingham, P. J, "Patterns in crime" (1984), Macmillan
- Bursik, R, "Social disorganization and theories of crime and delinquency: problems and prospects", Criminology, 26, pp.519~551 (1988)
- Cliff, A. D, "Spatial Process: Models and applications" (1981), Pion Limited
- Clinard, M. B, "Cities with little crime : the case of Switzerland" (1978), Cambridge University Press
- Cohen, L. E, "Social change and crime rate trends: A routine activity approach", American Sociological Review, 44, pp.588~608 (1979)
- Coleman, J. S, "Social Capital in the Creation of Human Capital", American Journal of Sociology, 94, pp.95~120 (1988)
- Coleman, J. S, "Foundations of social theory" (1990), Harvard University Press
- Craglia, M, "Modelling high-intensity crime areas in english cities", Urban Studies, 38, pp.1921~1941 (2001)
- Federal Bureau of Investigation, "Crime in the United States", FBI, ~ (2000)
- Fomby, T. B, "Advanced Econometric Methods" (1984), Springer-Verlag
- Fox, J, "Applied regression analysis, linear models, and related models" (1997), Sage
- Griffith, D, "Spatial Autocorrelation and Eigenfunctions of the Geographic Weights Matrix Accompanying Geo-referenced Data", The Canadian Geographer, 40, pp.351~367 (1996)
- Griffith, D, "Spatial Autocorrelation and Spatial Filtering" (2003), Springer
- Haining, R, "Spatial data analysis in the social and environmental sciences" (1990), Cambridge University Press
- Herbert, D, "The Geography of Urban Crime" (1982), Longman
- Jones-Webb, R, "Alcohol and malt liquor availability and promotion and homicide in inner cities", Substance Use & Misuse, 43, pp.159~177 (2008)
- Jones-Webb, R, "Neighborhood racial", ethnic concentration, social disadvantage, and homicide risk: An ecological analysis of 10 US cities, 2008, pp.85, 662~676
- Kane, R. J, "Compromised police legitimacy as a predictor of violent crime in structurally disadvantaged communities", Criminology, 43, pp.469~498 (2005)
- 김영호, "The Effects of Spatial Autocorrelation in Spatial Data Analyses", 국토지리학회지, 42(3), pp.343~361 (2008), 국토지리학회
- Krivo, L. J, "Extremely disadvantaged neighborhoods and urban crime", Social Forces, 75, pp.619~650 (1996)
- Land, K. C, "Structural Covariates of Homicide Rates: Are There Any Invariances Across Time and Social Space?", American Journal of Sociology, 95, pp.922~963 (1990)
- Langford, I. H, "Using Empirical Bayes Estimates in the Geographical Analysis of Disease Risk", Area, 26, pp.142~149 (1994)
- Lyons, C. J, "Community (dis)organization and racially motivated crime", American Journal of Sociology, 113, pp.815~863 (2007)
- McMillen, D. P, "Spatial Autocorrelation or Model Misspecification?", International Regional Science Review, 26, pp.208~217 (2003)
- Mencken, F. C, "Murder, Nonnegligent Manslaughter, and Spatial Autocorrelation in Mid-South Counties", Journal of Quantitative Criminology, 15, pp.407~22 (1999)
- Messner, S. F, "The spatial patterning of county homicide rates: An application of exploratory spatial data analysis", Journal of Quantitative Criminology, 15, pp.423~50 (1999)
- Morenoff, J. D, "Neighborhood Inequality, Collective Efficacy, and the Spatial Dynamics of Urban Violence", Criminology, 39, pp.517~559 (2001)
- Parker, K. F, "Concentrated disadvantage, traditional male role models, and African-American juvenile violence", Criminology, 46, pp.711~735 (2008)
- Peterson, R. D, "Disadvantage and neighborhood Violent Crime: Do Local Institutions Matter?", Journal of Research in Crime and Delinquency, 37, pp.31~63 (2000)
- Rice, K, "Socioecological models of automotive theft: Integrating routine activity and social disorganization approaches", The Journal of Research in Crime and Delinquency, 39, pp.304~336 (2002)
- Sampson, R. J, "Violent Victimazation and Offending: Idividual, Situational, and community level risk factors., in Understanding and Preventing Violence" (1994), National Academy Press
- Sampson, R. J, "Spatial (Dis)Advantage and Homicide in Chicago Neighborhoods, in Spatially Integrated Social Science" (2004), Oxford University Press Inc
- Shaw, C. R, "Juvenile delinquency and urban areas, a study of rates of delinquents in relation to differential characteristics of local communities in American cities" (1942), The University of Chicago Press
- Smith, W. R, "Furthering the integration of routine activity and social disorganization theories: small units of analysis and the study of street robbery as a diffusion process", Criminology, 38, pp.489~523 (2000)
- Tiefelsdorf, M, "Modelling spatial processes: the identification and analysis of spatial relationships in regression residuals by means of Moran’s I" (2000), Springer-Verlag
- Tiefelsdorf, M, "Semiparametric filtering of spatial auto correlation: the eigenvector approach", Environment and Planning A, 39, pp.1193~1221 (2007)
- Wikstrom, P.-O. H, "Urban Crime, Criminals, and Victims: the Swedish experience in an Anglo- American comparative perspective" (1991), Springer-Verlag
- Wirth, L, "Urbanism as a Way of Life", American Journal of Sociology, 44, pp.1~24 (1938)
