Applied Spatial Analysis and Policy

, Volume 9, Issue 4, pp 529–548 | Cite as

Vulnerability and Exposure to Crime: Applying Risk Terrain Modeling to the Study of Assault in Chicago

  • Leslie W. Kennedy
  • Joel M. Caplan
  • Eric L. Piza
  • Henri Buccine-Schraeder
Article

Abstract

Prior research has applied risk assessment and spatial analysis techniques to the study of violence. This paper builds on those results, tying the practical outcomes of spatial risk analysis methods to broader spatial issues on the articulation of risky places for aggravated assault. We begin by conceptualizing key relationships, addressing the effects of environmental factors on creating distinct, identifiable areas that are conducive to crime. Propositions of the theory of risky places are posed and then empirically tested using a GIS based program, RTMDx, on aggravated assault data in an urban area. Given the current thinking about crime vulnerability based on concentration and spatial influence of features and events, this paper offers an analytical strategy to model risky places that combines the conceptual insights of crime emergence and persistence, advances in geo-spatial analytical techniques, and micro-level data.

Keywords

Risk terrain modeling Spatial influence Vulnerability Exposure and aggravated assault Theory of risky places 

References

  1. Arlot, S., & Celisse, A. (2010). A survey of cross-validation procedures for model selection. Statistics Surveys, 4, 40–79.CrossRefGoogle Scholar
  2. Barnum, J. D., Caplan, J. M., Kennedy, L. W., & Piza, E. L. (2013). Testing the cross jurisdictional spatial influence of attractors and generators of crime in the urban environment. Presentation at the American Society of Criminology 2013 Annual Meeting, Atlanta, Georgia.Google Scholar
  3. Bernasco, W., & 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.CrossRefGoogle Scholar
  4. Block, R., & Block, C. (1995). Space, place, and crime: Hotspot areas and hot places of liquor related crime. In J. Eck & D. Weisburd (Eds.), Crime and place (Crime prevention studies, Vol. 4, pp. 145–184). Monsey: Criminal Justice Press.Google Scholar
  5. Bowers, K. J., & Johnson, S. D. (2005). Domestic burglary repeats and space-time clusters: the dimensions of risk. European Journal of Criminology, 2(1), 67–92.CrossRefGoogle Scholar
  6. Braga, A., & Clarke, R. V. (2014). Explaining high-risk concentrations of crime in the city: social disorganization, crime opportunities, and important next steps. Journal of Research in Crime and Delinquency (Jan), online first.Google Scholar
  7. Braga, A. A., Pierce, G. L., McDevitt, J., Bond, B. J., & Cronin, S. (2008). The strategic prevention of gun violence among gang-involved offenders. Justice Quarterly, 25(1), 132–162.Google Scholar
  8. Braga, A., Papachristos, A., & Hureau, D. (2014). The effects of hot spots policing on crime: an updated systematic review and meta analysis. Justice Quarterly, 31(4), 633-663.Google Scholar
  9. Brantingham, P., & Brantingham, P. (1981). Environmental criminology. Beverly Hills: Sage Publications.Google Scholar
  10. Brantingham, P., & Brantingham, P. (1995). Criminality of place: crime generators and crime attractors. European Journal on Criminal Policy and Research, 3, 1–26.CrossRefGoogle Scholar
  11. Bursik, R., & Grasmick, H. G. (1993). Neighborhoods and crime. San Francisco: Jossey Bass.Google Scholar
  12. Caplan, J. M. (2011). Mapping the spatial influence of crime correlates: a comparison of operationalization schemes and implications for crime analysis and CJ practice. Cityscape, 13(3), 57–83.Google Scholar
  13. Caplan, J. M., & Kennedy, L. W. (2010). Risk terrain modeling manual: Theoretical framework and technical steps of spatial risk assessment. Newark, NJ: Rutgers Center on Public Security. [available at www.riskterrainmodeling.com].
  14. Caplan, J. M., Kennedy, L. W., & Miller, J. (2011). Risk terrain modeling: brokering criminological theory and GIS methods for crime forecasting. Justice Quarterly, 28(2), 360–381.CrossRefGoogle Scholar
  15. Caplan, J. M., Kennedy, L. W., & Baughman, J. (2012). Kansas City’s violent crime initiative. Crime Mapping, 4(2), 9–37.Google Scholar
  16. Caplan, J., Kennedy, L. W., & Piza, E. (2013a). Joint utility of event-dependent and environmental crime analysis techniques for violent crime forecasting. Crime and Delinquency, 59(2), 243–270.CrossRefGoogle Scholar
  17. Caplan, J. M., Kennedy, L. W., & Piza, E. (2013b). Risk terrain modeling diagnostic user manual (Version 1.0). Newark: Rutgers Center on Public Security.Google Scholar
  18. Chicago Police Department. Crime type categories: Definition & description. Retrieved on December 19, 2014 from http://gis.chicagopolice.org/clearmap_crime_sums/crime_types.html#N04A.
  19. City of Chicago (2014). The city of Chicago’s official site. Retrieved on September 17, 2014 from http://www.cityofchicago.org/city/en/narr/foia/CityData.html.
  20. Drawve, G. (2014). A metric comparison of predictive hot spot techniques and RTM. Justice Quarterly, (ahead-of-print), 1–29.Google Scholar
  21. Dugato, M. (2013). Assessing the validity of risk terrain modeling in a European city: preventing robberies in the city of Milan. Crime Mapping: A Journal of Research and Practice, 5(1), 63–89.Google Scholar
  22. Eck, J. E., Chainey, S., Cameron, J. G., Leitner, L., & Wilson, R. E. (2005). Mapping crime: Understanding hotspots. Washington: National Institute of Justice.Google Scholar
  23. Eck, J., Clarke, R., & Guerette, R. (2007). Ricky facilities: crime concentration in homogeneous sets of establishments and facilities. Crime Prevention Studies, 21, 225–264.Google Scholar
  24. Freundschuh, S., & Egenhofer, M. (1997). Human conceptions of spaces: implications for geographic information systems. Transactions in GIS, 2(4), 361–375.CrossRefGoogle Scholar
  25. Golledge, R. G., & Stimson, R. J. (1997). Spatial behavior: A geographic perspective. N.Y.: Guildford Press.Google Scholar
  26. Groff, E. R., & La Vigne, N. G. (2002). Forecasting the future of predictive crime mapping. Crime Prevention Studies, 13, 29–58.Google Scholar
  27. Guerette, R. T., & Bowers, K. J. (2009). Assessing the extent of crime displacement and diffusion of benefits: a review of situational crime prevention evaluations. Criminology, 47, 1331–1368.CrossRefGoogle Scholar
  28. Harries, K. (1999). Mapping crime: Principle and practice. Washington: U.S. Department of Justice, Office of Justice Programs.Google Scholar
  29. Heffner, J. (2013). Statistics of the RTMDx utility. In J. Caplan, L. W. Kennedy, & E. Piza (Eds.), Risk Terrain Modeling Diagnostics (RTMDx) utility user manual (Version 1) (pp. 26–34). Newark: Rutgers Center on Public Security.Google Scholar
  30. Hunter, R., & Jeffery, C. (1997). Preventing convenience store robbery through environmental design. In R. Clarke (Ed.), Situational crime prevention, successful case studies, second edition. Monsey: Criminal Justice Press.Google Scholar
  31. Irvin-Erickson, Y. (2015). Identifying risky places for crime: An analysis of the criminogenic spatiotemporal influences of landscape features on street robberies. Washington: Department of Justice.Google Scholar
  32. Kennedy, L. W., & Caplan, J. M. (2013). A theory of risky places. Research brief. Newark: Rutgers Center on Public Security.Google Scholar
  33. Kennedy, L. W., & Van Brunschot, E. (2009). The risk in crime. Lantham: Rowman and Littlefield.Google Scholar
  34. Kennedy, L. W., Caplan, J. M., & Piza, E. L. (2011). Risk clusters, hotspots, and spatial intelligence: risk terrain modeling as an algorithm for police resource allocation strategies. Journal of Quantitative Criminology, 28(2), 360–381.Google Scholar
  35. Koper, C. (2014). Assessing the practice of hot spots policing: survey results from a National Convenience Sample of Local Police Agencies Journal of Contemporary Criminal Justice1043986214525079, first published on March 12, 2014.Google Scholar
  36. Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J. F., & Bertollini, R. (1999). Disease mapping and risk assessment for public health. Wiley.Google Scholar
  37. Lim, S. S., Vos, T., Flaxman, A. D., Danaei, G., Shibuya, K., Adair-Rohani, H., & Davis, A. (2013). A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. The Lancet, 380(9859), 2224–2260.CrossRefGoogle Scholar
  38. Lum, C., & Koper, C. S. (2013). Evidence-based policing in smaller agencies: challenges, prospects, and opportunities. The Police Chief 80 (April): 42–47.Google Scholar
  39. Madensen, T. D., & Eck, J. E. (2008). Spectator violence in stadiums. Washington: Office of Community Oriented Policing Services, U.S. Department of Justice.Google Scholar
  40. Maguire, K. (Ed.). (2007). Sourcebook of criminal justice statistics. Retrieved from http://www.albany.edu/sourcebook/pdf/t5452004.pdf.
  41. Martinez, R., Jr., Rosenfeld, R., & Mares, D. (2008). Social disorganization, drug market activity, and neighborhood violent crime. Urban Affairs Review, 43(6), 846–874.CrossRefGoogle Scholar
  42. Mastrofski, S. D., Weisburd, D., & Braga, A. A. (2010). Rethinking policing: The policy implications of hotspots of crime. In N. A. Frost, J. D. Freilich, & T. R. Clear (Eds.), Contemporary issues in criminal justice policy: Policy proposals from the American Society of Criminology Conference (pp. 251–264). Belmont: Wadsworth.Google Scholar
  43. Mayhew, H. (1861). London labour and the London poor. NY: Dover (republished in 1968).Google Scholar
  44. Moreto, W. D., Piza, E. L., & Caplan, J. M. (2013). ‘A plague on both your houses?’: risks, repeats and reconsiderations of urban residential burglary. Justice Quarterly. doi:10.1080/07418825.2012.754921.Google Scholar
  45. Office of National Drug Control Policy. (2000). Drug-related crime fact sheet. Washington: Office of National Drug Control Policy.Google Scholar
  46. Park, R. E., McKenzie, R. D., & Burgess, E. (1925). The city: Suggestions for the study of human nature in the urban environment. Chicago: University of Chicago Press.Google Scholar
  47. Pridemore, W. A., & Grubesic, T. (2013). Alcohol outlets and community levels of interpersonal violence: spatial density, outlet type, and seriousness of assault. Journal of Research in Crime and Delinquency, 50(1), 132–159.CrossRefGoogle Scholar
  48. Rand, M. R. (2008). Criminal victimization, 2007. Washington: U.S. Department of Justice, Bureau of Justice Statistics.CrossRefGoogle Scholar
  49. Ratcliffe, J. (2009). Near Repeat Calculator (version 1.3). Temple University, Philadelphia, PA and the National Institute of Justice, Washington, DC.Google Scholar
  50. Ratcliffe, J. H., & Rengert, G. (2008). Near repeat patterns in Philadelphia shootings. Security Journal, 21(1–2), 58–76.CrossRefGoogle Scholar
  51. Rengert, G., Ratcliffe, J., & Chakravorty, S. (2005). Policing illegal drug markets: Geographic approaches to crime reduction. Monsey: Criminal Justice Press.Google Scholar
  52. Roncek, D. W., & Faggiani, D. (1985). High schools and crime. The Sociological Quarterly, 26, 491–505.CrossRefGoogle Scholar
  53. Scott, M. S., & Dedel, K. (2006). Assault in and around bars (2nd ed.). Washington: Office of Community Oriented Policing Services, U.S. Department of Justice.Google Scholar
  54. Shaw, C., & McKay, H. (1969). Juvenile delinquency and urban areas. Chicago: University of Chicago Press.Google Scholar
  55. Sherman, L., & Rogan, D. (1995). Deterrent effects of police raids on crack houses: a randomized controlled experiment. Justice Quarterly, 12, 755–782.CrossRefGoogle Scholar
  56. Sherman, L. W., Gartin, P. R., & Buerger, M. E. (1989). Hotspots of predatory crime: routine activities and the criminology of place. Criminology, 27, 27–55.CrossRefGoogle Scholar
  57. Silver, N. (2012). The signal and the noise: Why so many predictions fail but some don’t. N.Y.: Penguin.Google Scholar
  58. Snowden, A. J., & Pridemore, W. A. (2013). Alcohol and violence in a nonmetropolitan college town: alcohol outlet density, outlet type and assault. Journal of Drug Issues, 43(3), 357–373.CrossRefGoogle Scholar
  59. Stucky, T. D., & Ottensmann, J. R. (2009). Land use and violent crime. Criminology, 47(4), 1223–1264.CrossRefGoogle Scholar
  60. Taylor, R. B. (1988). Human territorial functioning. New York: University of Cambridge Press.CrossRefGoogle Scholar
  61. Taylor, R. B., & Harrell, A. V. (1996). Physical environment and crime. Washington: National Institute of Justice.Google Scholar
  62. Tobler, W. (1970). A computer movie simulating urban growth in the Detroit region. Economic Geography, 46(2), 234–240.CrossRefGoogle Scholar
  63. Tomlin, C. D. (1994). Map algebra: one perspective. Landscape and Urban Planning, 30, 3–12.CrossRefGoogle Scholar
  64. U.S. Department of Justice, National Gang Intelligence Center. (2009). National gang threat assessment. Washington: U.S. Government Printing Office.Google Scholar
  65. Weisburd, D., Wyckoff, L., Ready, J., Eck, J., Hinkle, J., & Gajewski, F. (2006). Does crime just move around the corner? A controlled study of spatial displacement and diffusion of crime control benefits. Criminology, 44, 549–592.CrossRefGoogle Scholar
  66. Weisburd, D., Morris, N., & Groff, E. (2009). Hot spots of juvenile crime: a longitudinal study of arrest incidents at street segments in Seattle, Washington. Journal of Quantitative Criminology, 25, 443–467.CrossRefGoogle Scholar
  67. Weisburd, D., Groff, E., & Yang, S. (2012). The criminology of place: Street segments and our understanding of the crime problem. Oxford: Oxford University Press.CrossRefGoogle Scholar
  68. Yerxa, M. (2013). Evaluating the temporal parameters of risk terrain modeling with residential burglary. Crime Mapping, 5(1), 7–38.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Leslie W. Kennedy
    • 1
  • Joel M. Caplan
    • 1
  • Eric L. Piza
    • 2
  • Henri Buccine-Schraeder
    • 1
  1. 1.Rutgers Center on Public SecurityRutgers University School of Criminal JusticeNewarkUSA
  2. 2.Department of Law and Police ScienceJohn Jay College of Criminal JusticeNew YorkUSA

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