Abstract
Though substantial amount of research of routine activities/opportunity theory investigated the relationship between land use and crime, very few studies considered various types of land uses at the micro-scale of area. Using 2013 crime data geocoded on the 500-ft2 grid cells overlaid on Pittsburgh, results from multivariate regression models show that certain types of facility such as retail shops, schools and bus stops increase the number of crimes at grid cells. Further results show that, net of the socioeconomic factors, the number of crimes in a grid cell varies both by facility and crime type. However, potential guardianship and target suitability of the facility are not found to have significant influence on the number of crimes in grid cells. Attention to various types of land uses across the city is required to help effective allocation of social control resources against crime.
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Notes
In addition to Table 4, we provide the standardized coefficients of betas for Models 7 through 9 in Appendix B.
There is a possibility that the number of employees can be a proxy for either size of store or volume of customers. Though there is no perfect rule to use this proxy as a unique measure of guardianship, we follow what Felson and Cohen (1980) and Sherman et al (1989) found and established in their previous literature: the number of persons in a household is positively associated with the level of guardianship.
References
Abell, M.L., Braselton, J.P. and Rafter, J.A. (1999) Statistics with Mathematica. Vol. 1. San Diego, CA: Academic Press.
Bernasco, W. and Block, R. (2009) Where offenders choose to attack: A discrete choice model of robberies in Chicago. Criminology 47 (1): 93–130.
Bernasco, W. and Block, R. (2011) Robberies in Chicago: A block-level analysis of the influence of crime generators, crime attractors, and offender anchor points. Journal of Research in Crime and Delinquency 48 (1): 33–57.
Block, R.L. and Block, C.R. (1995) Space, place and crime: Hot spot areas and hot places of liquor-related crime. Crime and Place 4 (2): 145–184.
Brantingham, P.L. and Brantingham, P.J. (1981) Mobility, notoriety, and crime-A study in the crime patterns of urban nodal points. Journal of Environmental Systems 11 (1): 89–99.
Brantingham, P. and Brantingham, P. (1995) Criminality of place. European Journal on Criminal Policy and Research 3 (3): 5–26.
Cohen, L.E. and Felson, M. (1979) Social change and crime rate trends: A routine activity approach. American Sociological Review 44 (4): 588–608.
Cohen, J., Gorr, W. and Singh, P. (2003) Estimating intervention effects in varying risk settings: Do police raids reduce illegal drug dealing at nuisance bars. Criminology 41 (2): 257–292.
Cohen, L.E., Kluegel, J.R. and Land, K.C. (1981) Social inequality and predatory criminal victimization: An exposition and test of a formal theory. American Sociological Review 46 (5): 505–524.
Dawes, R.M. (1979) The robust beauty of improper linear models in decision making. American Psychologist 34 (7): 571–582.
Eck, J.E. (2001) Policing and crime event concentration. In: R.F. Meier, L.W. Kennedy and V.F. Sacco (eds.) The process and structure of crime: Criminal events and crime analysis. Vol. 9. New Brunswick, NJ: Transaction Publishers.
Eck, J.E. (2015) Who should prevent crime at places? The advantages of regulating place managers and challenges to police services. Policing 9 (3): 223–233.
Eck, J.E., Clarke, R.V. and Guerette, R.T. (2007) Risky facilities: Crime concentration in homogeneous sets of establishments and facilities. Crime Prevention Studies 21: 225–264.
Eck, J.E. and Weisburd, D. (1995) Crime places in crime theory. Crime and Place, Crime Prevention Studies 4 (1): 1–33.
Farrell, G. and Pease, K. (1993) Once Bitten, Twice Bitten: Repeat Victimisation and Its Implications for Crime Prevention. London: Home Office Police Department.
Favarin, S. (2015) Testing and explaining crime concentrations outside the U.S.: The city of Milan, Università Cattolica del Sacro Cuore, XXVII ciclo, a.a. 2013/14, Milano, http://hdl.handle.net/10280/6119, accessed 26 November 2015.
Felson, M. (1986) Linking criminal choices, routine activities, informal control, and criminal outcomes. In: D. Cornish and R.V.G. Clarke (eds.) The Reasoning Criminal. New York: Springer-Verlag, pp. 119–128.
Felson, M. (1987) Routine activities and crime prevention in the developing metropolis. Criminology 25 (4): 911–931.
Felson, M. (2003) The process of co-offending. In: M.J. Smith and D.B. Cornish (eds.) Theory for Practice in Situational Crime Prevention. Monsey, NY: Criminal Justice Press, pp. 149–167.
Felson, M. (2006) The Ecosystem for Organized Crime. Helsinki, Finland: European Institute for Crime Prevention and Control, affiliated with the United Nations.
Felson, M. and Cohen, L.E. (1980) Human ecology and crime: A routine activity approach. Human Ecology 8 (4): 389–406.
Gorr, W.L. and Kurland, K.S. (2013) GIS Tutorial 1: Basic Workbook. Redlands, CA: ESRI Press.
Hindelang, M.J. (1976) Criminal Victimization in Eight American Cities: A Descriptive Analysis of Common Theft and Assault. Cambridge, MA: Ballinger Publishing Company.
Hindelang, M.J., Gottfredson, M.R. and Garofalo, J. (1978) Victims of Personal Crime: An Empirical Foundation for a Theory of Personal Victimization. Cambridge, MA: Ballinger.
Kurbin, C.E., Squires, G.D., Graves, S.M. and Ousey, G.C. (2011) Does fringe banking exacerbate neighborhood crime rates? Investigating the social ecology of payday lending. Criminology & Public Policy 10 (2): 437–466.
LaGrange, T.C. (1999) The impact of neighborhoods, schools, and malls on the spatial distribution of property damage. Journal of Research in Crime and Delinquency 36 (4): 393–422.
Lockwood, C. (2006) Bagby-to-Sabine: A new beginning. Urban Land 65 (10): 110.
Loukaitou-Sideris, A. (1999) Hot spots of bus stop crime: The importance of environmental attributes. Journal of the American Planning Association 65 (4): 395–411.
Miethe, T.D. and McDowall, D. (1993) Contextual effects in models of criminal victimization. Social Forces 71 (3): 741–759.
Newton, A. and Bowers, K.J. (2007) The geography of bus shelter damage: The influence of crime, neighbourhood characteristics and land-use. Internet Journal of Criminology. 1-20, http://www.internetjournalofcriminology.com.
Ratcliffe, J.H. and Rengert, G.F. (2008) Near-repeat patterns in Philadelphia shootings. Security Journal 21 (1): 58–76.
Rengert, R., Ratcliffe, J. and Chakravorty, S. (2005) Policing Illegal Drug Markets: Mapping the Socio-Economic Environments of Drug Dealing. Monsey, NY: Criminal Justice Press.
Reppetto, T.A. (1974) Residential Crime. Cambridge, MA: Ballinger, pp. 843–856.
Roman, C.G. (2004) Schools, Neighborhoods, and Violence: Crime within the Daily Routines of Youth. Lanham, MD: Lexington Books.
Roncek, D.W. (1981) Dangerous places: Crime and residential environment. Social Forces 60 (1): 74–96.
Roncek, D.W. and Bell, R. (1981) Bars, blocks, and crimes. Journal of Environmental Systems 11 (1): 35–47.
Roncek, D.W. and Faggiani, D. (1985) High schools and crime: A replication. The Sociological Quarterly 26 (4): 491–505.
Roncek, D.W. and LoBosco, A. (1983) The effects of high schools on crime in their neighborhoods. Social Science Quarterly 64 (3): 598–613.
Roncek, D.W. and Maier, P.A. (1991) Bars, blocks, and crimes revisited: Linking the theory of routine activities to the empiricism of hot spots. Criminology 29 (4): 725–753.
Sampson, R.J. and Raudenbush, S.W. (1999) Systematic social observation of public spaces: A new look at disorder in urban neighborhoods 1. American Journal of Sociology 105 (3): 603–651.
Sampson, R.J. and Wooldredge, J.D. (1987) Linking the micro-and macro-level dimensions of lifestyle-routine activity and opportunity models of predatory victimization. Journal of Quantitative Criminology 3 (4): 371–393.
Sherman, L.W., Gartin, P.R. and Buerger, M.E. (1989) Hot spots of predatory crime: Routine activities and the criminology of place. Criminology 27 (1): 27–56.
Smith, W.R., Frazee, S.G. and Davison, E.L. (2000) 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 (2): 489–523.
Smith, D.A. and Jarjoura, G.R. (1989) Household characteristics, neighborhood composition and victimization risk. Social Forces 68 (2): 621–640.
Sparks, R.F., Genn, H.G. and Dodd, D.J. (1977) Surveying Victims: A Study of the Measurement of Criminal Victimization, Perceptions of Crime, and Attitudes to Criminal Justice. London: Wiley.
Stucky, T.D. and Ottensmann, J.R. (2009) Land use and violent crime. Criminology 47 (4): 1223–1264.
Taylor, R.B. (1997) Social order and disorder of street blocks and neighborhoods: Ecology, microecology, and the systemic model of social disorganization. Journal of Research in Crime and Delinquency 34 (1): 113–155.
Weisburd, D.L., Groff, E.R. and Yang, S.M. (2012) The Criminology of Place: Street Segments and Our Understanding of the Crime Problem. New York: Oxford University Press.
Wilcox, P., Gialopsos, B.M. and Land, K.C. (2013) Multilevel criminal opportunity. In: F.T. Cullen and P. Wilcox (eds.) The Oxford Handbook of Criminological Theory. United Kingdom: Oxford University Press, pp. 579–601.
Wilcox, P., Quisenberry, N., Cabrera, D.T. and Jones, S. (2004) Busy places and broken windows? Toward defining the role of physical structure and process in community crime models. The Sociological Quarterly 45 (2): 185–207.
Wolfgang, M.E., Figlio, R.M. and Thornberry, T.P. (1978) Evaluating Criminology. New York: Elsevier.
Wright, R. and Decker, S.H. (1997) Armed Robbers in Action: Stickups and Street Culture. Boston, MA: Northeastern University Press.
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O, S., Lee, Y. Crime and land use in Pittsburgh: A micro-size grid-cell analysis of the influence of land-uses on area crime. Crime Prev Community Saf 18, 204–227 (2016). https://doi.org/10.1057/cpcs.2016.9
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DOI: https://doi.org/10.1057/cpcs.2016.9