The simulation of the journey to residential burglary

Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems

Volumn , Issue , 2008, Pages 281-299

  Hayslett McCall, Karen L ^a   Qiu, Fang ^a   Curtin, Kevin M ^a   Chastain, Bryan ^a   Schubert, Janis ^a   Carver, Virginia ^a  

^a UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77957741734     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59904-591-7.ch014     Document Type: Chapter

References (70)

1. Alonso, J., Fernandez, A., & Fort, H. (2006). Prisoner's dilemma cellular automata revisited: Evolution of cooperation under environmental pressure. Journal of Statistical Mechanics: Theory and Experiment, P06013, 1-15.
2. Barredo, J. I., Kasanko, M., McCormick, N., & Lavalle, C. (2003). Modelling dynamic spatial processes: Simulation of urban future scenarios through cellular automata. Landscape and Urban Planning, 64, 145-160.
3. Batty, M. (2005). Agents, cells, and cities: New representational models for simulating multiscale urban dynamics. Environment and Planning A, 37, 1373-1394.
4. Batty, M., Desyllas, J., & Duxbury, E. (2003). Safety in numbers? Modelling crowds and designing control for the Notting Hill carnival. Urban Studies, 40, 1573-1590.
5. Batty, M., Xie, Y., & Sun, Z. (1999). Modeling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems, 23, 205-233.
6. Benenson, I. & Torrens, P.M. (2005). Geosimulation: Automata-based modeling of urban phenomena. London: John Wiley & Sons.
7. Blue, V. J., & Adler, J. L. (2001). Cellular automata microsimulation for modeling bi-directional pedestrian walkways. Transportation Research Part B, 35, 293-312.
8. Boggs, S. L. (1965). Urban crime patterns. American Sociological Review, 30, 899-908.
9. Brahan, J. W., Lam, K. P., Chan, H., & Leung, W. (1998). AICAMS: artificial intelligence crime analysis and management system. Knowledge-Based Systems, 11, 355-361.
10. nd Ed.) Prospect Heights, IL: Waveland Press.
11. Bursik, R. J., & Grasmick, H. G. (1993). Neighborhoods and crime. San Francisco: Lexington Books.
12. Byrne, J. M., & Sampson, R. J. (1986). The social ecology of crime. New York: Srpinger-Verlag.
13. Canter, & Gregory. (1994). Identifying the residential location of rapists. Journal of Forensic Science, 34, 169-175.
14. Canter, & Larkin. (1993). The environmental range of serial rapists. Journal of Environmental Psychology, 13, 64-70.
15. Carter, R. L. (1979). The criminal's image of the city. New York: Pergamon Press.
16. Clarke, K. C., & Gaydos, L. (1998). Loose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science, 12, 699-714.
17. Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44, 588-608.
18. Costello, A. & Wiles, P. (2001). GIS and the journey to crime: An analysis of patterns in South Yorkshire. In A. Hirschfield & K. Bowers (Eds.), Mapping and analysing crime data: Lessons from research and practice (pp. 27-60). London: Taylor and Francis.
19. Couclelis, H. (1985). Cellular worlds: A framework for modeling micro-macro dynamics. Environment and Planning A, 17, 585-596.
20. Couclelis, H. (1988). Of mice and men: What rodent populations can teach us about complex spatial dynamics. Environment and Planning A, 20, 99-109.
21. Couclelis, H. (1989). Macrostructure and microbehavior in a metropolitan area. Environment and Planning B, 16, 141-154.
22. DeFrances, C. J., & Smith, S. K. (1994). Crime and neighborhoods.
23. Eck, J. E. (1994). Examining routine activites theory: A review of two books. Justice Quarterly, 12, 783-797.
24. Franklin, S., & Graesser, A. (1996) Is it an agent, or just a program?: A taxonomy of autonomous agents. Intelligent Agents III: In Proceedings of the Third International Workshop on Agent Theories, Architectures, and Languages, (ATAL'96), Lecture Notes in AI, Third International Workshop on Agent Theories, Architectures, and Languages, (ATAL'96), Springer-Verlag.
25. Goodchild, M. F. (2003) Geographic information science and systems for environmental management. Annual Review of Environmental Resources, 28, 493-519.
26. Gottheil, E., & Gabor, T. (1984). Offender characteristics and spatial mobility. Canadian Journal of Criminology, 26, 267-281.
27. Green, D., Tridgell, A., & Malcom, G. A. (1990) Interactive simulation of bushfires in heterogeneous fuels. Mathematical Computation and Modelling, 13, 57-66.
28. Hawley, A. (1950). Human ecology. New York: Ronald Press Co.
29. Hesseling, R. B. P. (1992). Using data on offender mobility in ecological research. Journal of Quantitative Criminology, 8, 95-112.
30. Hogeweg, P., (1988) Cellular automata as a paradigm for ecological modeling. Applied Mathematics and Computation, 27, 81-100.
31. Hunter, A. J. (1985). Private, parochial, and public social orders: The problem of crime and incivility in urban communities. In G. D. Suttles & M. N. Zald (Eds.), The challenge of social control: Citizenship and institution building in modern society (pp. 230-242). Norwood, NJ: Ablex Publishing.
32. Liu, L., Wang, X., Eck, J., & Liang, J. (2005). Simulating crime events and crime patterns in a RA/CA model. In F. Wang (Ed.), Geographic information systems and crime analysis (pp. 197-213). Hershey, PA: Idea Group Publishing.
33. Messner, S. F., & Tardiff, K. (1986). The social ecology of urban homicide: An application of the 'Routine activities approach. Criminology, 22, 241-67.
34. Morenoff, J. D., & Sampson, R. J. (1997). Violent crime and the spatial dynamics of neighborhood transition: Chicago, 1970-1990. Social Forces, 76, 31-64.
35. Phipps, M. (1989). Dynamical behavior of cellular automata under constraints of neighborhood coherence. Geographical Analysis, 21, 197-215.
36. Phillips, P. D. (1980). Characteristics and typology of the journey to crime. In D. E. Georges-Abeyie & K. D. Harries (Eds.), Crime: A spatial perspective (pp. 167-180). New York: Columbia University Press.
37. Pyle, G. F. (1976). Spatial and temporal aspects of crime in Cleveland, Ohio. American Behavioral Scientist, 20, 175-198.
38. Rand, A. (1986). Mobility triangles. In R. M. Figlio, S. Hakim, & G. F. Rengert (Eds.), Metropolitan crime patterns. Monsey, NY: Criminal Justice Press.
39. Ratcliffe, J. H. (2001). Policing urban burglary. Trends and issues in crime and criminal justice (No. 213). Canberra: Australian Institute of Criminology.
40. Rengert, G. F. (1981). Burglary in Philadelphia: A critique of opportunity structure model. In P. Brantingham & P. Brantingham (Eds.), Environmental criminology (pp.167-188). Beverly Hills, CA: Sage Publications.
41. Rengert, G., Piquero, A. R., & Jones, P. R. (1999). Distance decay reexamined. Criminology, 37, 427-445.
42. Reppetto, T. A. (1974). Residential crime. Cambridge: Ballinger.
43. Rhodes, W. M., & Conley, C. (1981). Crime and mobility: An empirical study. In P. J. Brantingham & P. L. Brantingham (Eds.), Environmental criminology. Beverley Hills, CA: Sage Publications.
44. Sampson, R. J. (1985). Neighborhood and crime: The structural determinants of personal victimization. Journal of Research in Crime and Delinquency, 22, 7-40.
45. Sampson, R. J. (1987). Does an intact family reduce burglary risk for its neighbors? Sociology and Social Research, 71, 204-207.
46. Sampson, R. J., & Groves, W. B. (1989). Community structure and crime: Testing social-disorganization theory. American Journal of Sociology, 94, 774-802.
47. Sampson, R. J., & Wilson, W. J. (1995). Race, crime and urban inequality. In J. Hagan & R.D. Peterson (Eds.), Crime and inequlity (pp. 37-54), Stanford University Press.
48. Shaw, C. R., & McKay, H. D. (1942). Juvenile Delinquency and Urban Areas. Chicago, IL: University of Chicago Press.
49. Skogan, W. (1990). Disorder and Decline: Crime and the Spiral of Decay in American Neighborhoods. New York: The Free Press.
50. Smith, R., 1991, The application of cellular automata to the erosion of landscapes. Earth Surface Processes and Landforms, 16, 273-281.
51. Smith, S. K., & DeFrances, C. J. (1994). Crime and Neighborhoods.
52. Snook, B. (2004). Individual differences in distance traveled by serial burglars. Journal of Investigative Psychology and Offender Profiling, 1, 53-66.
53. Takeyama, M., & Couclelis, H. (1997). Map dynamics: Integrating cellular automata and GIS through Geo-Algebra. International Journal of Geographical Information Science, 11, 73-91.
54. 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.
55. Terna, P. (1998) Simulation tools for social scientists: Building agent based models with SWARM. Journal of Artificial Societies and Social Simulation.
56. Tita & Griffiths. (2005). Traveling to violence: The case for a mobility-based spatial typology of homicide. Journal of Research in Crime and Delinquency, 42, 275-308.
57. Torrens, P. (2006). Simulating sprawl. Annals of the Association of American Geographers, 96, 248-275.
58. Turner, S. (1969). Delinquency and distance. In J. T. Sellin & M. E. Wolfgang (Eds.), Delinquency: selected studies. New York: Wiley.
59. th ed.). New York: Oxford University Press.
60. von Neumann, J. (1949) Theory and organization of complicated automata. In A. W. Burks (Ed.), Theory of self-reproducing automata (Part One) (pp. 29-87). Urbana: University of Illinois Press.
61. Wahle, J., Neubert, L., Esser, J., & Schreckenberg, M. (2001) A cellular automaton traffic flow model for online simulation of traffic. Parallel Computing, 27, 719-735.
62. Warner, B. D., & Pierce, G. L. (1993). Reexamining social disorganization theory using calls to the police as a measure of crime. Criminology, 31(4), 493-517.
63. Warren, J., Reboussin, R., Hazelwood, R. R., Cummings, A., Gibbs, N., & Trumbetta, S. (1998). Crime scene and distance correlates of serial rape. Journal of Quantitative Criminology, 14, 35-59.
64. White, C. R. (1932). The relation of felonies to environmental factors in Indianapolis. Social Forces, 10, 498-509.
65. White, R., & Engelen, G. (1992). Cellular dynamics and GIS: Modelling spatial complexity. Working Paper 9264, Research Institute for Knowledge Systems, Maastricht, The Netherlands.
66. Wilson, W. J. (1987). The truly disadvantaged: The inner city, the underclass, and public policy. Chicago: University of Chicago Press.
67. Winoto, P. (2002). A simulation of the market for offenses in multiagent systems: Is zero crime rates attainable? In Proceedings of the Multi-Agent-Based Simulation, Third International Workshop, Bologna, Italy.
68. Wolfram, S. (1986). Theory and applications of cellular automata. Singapore: World Scientific.
69. Wright, R., & Decker, S. H. (1994). Choosing the target. Burglars on the job: Streetlife and residential break-ins. Boston: Northeastern University Press.
70. Wu, F. (1999). GIS-based simulation as an exploratory analysis for space-time processes. Journal of Geographical Systems, 1, 199-218.