Implementing comprehensive offender behaviour in a realistic agent-based model of burglary

SIMULATION

Volumn 88, Issue 1, 2012, Pages 50-71

  Malleson, Nick ^a   See, Linda ^a   Evans, Andy ^a   Heppenstall, Alison ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

agent based modelling; crime; human behaviour; simulation

Indexed keywords

AGENT BASED SIMULATION; AGENT-BASED MODEL; AGENT-BASED MODELLING; BEHAVIOURAL MODEL; CRIME MODELS; ENVIRONMENTAL DATA; HUMAN BEHAVIOURS; INHERENT COMPLEXITY; MODELLING TECHNIQUES; POLICY MAKERS; SIMULATION;

COMPUTATIONAL METHODS; SOCIAL SCIENCES;

CRIME;

EID: 84859589114     PISSN: 00375497     EISSN: 17413133     Source Type: Journal    
DOI: 10.1177/0037549710384124     Document Type: Article

References (72)

1. Marris R. Survey of the research literature on the criminological and economic factors influencing crime trends: A summary. Modelling crime and offending: Recent developments in England and Wales. London: Home Office, 2003.
2. Cohen L.E. Felson M. Social change and crime rate trends: A routine activity approach. American Sociological Review 1979; 44: 588–608.
3. Brantingham P.L. Brantingham P. Notes of the geometry of crime. In: Ed. Brantingham P.J. Brantingham P.L. (eds) Environmental Criminology. Illinois: Waveland Press, 1981, pp.27–54.
4. Brantingham P.L. Brantingham P. Environment, routine, and situation: Toward a pattern theory of crime. In: Ed. Clarke R. Felson M. (eds) Routine Activity and Rational Choice. Vol. 5, New Jersey: Transaction Publishers, 1993.
5. Rengert G. Wasilchick J. Suburban Burglary: A Time and a Place for Everything. Illinois: Charles Thomas Publishers, 1985.
6. Weisburd D.V. Trajectories of crime at places: A longitudinal study of street segments in the city of seattle. Criminology 2004; 42(2): 283–321.
7. Groff E. Weisburd D. Morris N.A. Where the action is at places: Examining spatio-temporal patterns of juvenile crime at places using trajectory analysis and GIS. In: Ed. Weisburd D. Bernasco W. Bruinsma G. (eds) Putting Crime in its Place. Units of Analysis in Geographic Criminology. New York, USA: Springer, 2009, pp.61–86, ch. 3.
8. Andresen M.A. Malleson N. Testing the stability of crime patterns: Implications for theory and policy. Journal of Research in Crime and Delinquency, in press.
9. Bonabeau E. Agent-based modeling: Methods and techniques for simulating human systems, Proceedings of the National Academy of Sciences, vol. 99, p.7280–7287, 2002.
10. Liu L. Eck J. (eds) Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems. Hershey, PA: IGI Global, 2008.
11. Groff E. Mazerolle L. Simulated experiments and their potential role in criminology and criminal justice. Journal of Experimental Criminology 2008; 4(3): 187–193.
12. Malleson N. Agent-Based Modelling of Burglary.: PhD Thesis, School of Geography, University of Leeds, 2010.
13. Birks D.J. Donkin S. Wellsmith M. Synthesis over analysis: Towards an ontology for volume crime simulation. In: Ed. Liu L. Eck J. (eds) Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems. Hershey, PA: Information Science Reference, 2008, pp.160–192.
14. Hayslett-McCall Karen L. Qiu Fang Curtin Kevin M. Chastain Bryan Schubert Janis Carver Virginia. The simulation of the journey to residential burglary. Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems. Hershey, PA: IGI Global, 2008.
15. Groff E. Simulation for theory testing and experimentation: An example using routine activity theory and street robbery. Journal of Quantitative Criminology 2007; 23: 75–103.
16. Singh K. An Abstract Mathematical Framework for Semantic Modeling and Simulation of Urban Crime Patterns. Delhi: University of Dehli, 2005.
17. Bratman M.E. Israel D.J. Pollack M.E. Plans and resource-bounded practical reasoning. Computational Intelligence 1988; 4(3): 349–355.
18. Taylor G. Frederiksen R. Vane R. Waltz E. Agent-based Simulation of Geo-Political Conflict, In Proceedings of the 16th conference on Innovative applications of artifical intelligence, San Jose, California, 2004, p.884–891.
19. Rao Anand S. Michael Georgeff P. BDI Agents: From Theory to Practice, In Proceedings of the First International Conference on Multi-Agent Systems (ICMAS-95), San Francisco, USA, Ed. Lesser Victor Gasser Les, Eds.: MIT Press, 1995.
20. Brantingham P.L. Glasser U. Singh K. Vajihollahi M. Mastermind: Modeling and Simulation of Criminal Activity in Urban Environments. Vancouver: Simon Fraser University, 2005.
21. Brantingham P.L. Glasser U. Kinney B. Singh K. Vajihollahi M. A Computational Model for Simulating Spatial Aspects of Crime in Urban Environments, 2005 IEEE International Conference on Systems, Man and Cybernetics, vol. 4, p.3667–3674, 2005.
22. Balzer W. Smass: A sequential multi-agent system for social simulation. In: Ed. Suleiman R. Troitzsch K.G. Gilbert N. (eds) Tools and Techniques for Social Science Simulation. Heidelberg: Physica-Verlag, 2000, pp.65–82, ch. 5.
23. Axelrod R. Advancing the art of simulation in the social sciences. In: Ed. Conte R. Hegselmann R. Terna P. (eds) Simulating Social Phenomena. Berlin: Springer-Verlag, 1997, pp.21–40.
24. Brooks R.A. A robust layered control syste for a mobile robot abstra. IEEE Journal Of Robotics And Automation 1986; 2(1): 14–23.
25. Bryson J.J. The behavior-oriented design of modular agent intelligence. Agent Technologies, Infrastructures, Tools, and Applications for E-Services. Vol. 2592, New York: Springer, 2002, pp.61–76.
26. Schmidt B. The Modelling of Human Behaviour. San Diego: SCS Publications, 2000.
27. Urban C. PECS: A reference model for the simulation of multi-agent systems. In: Ed. Suleiman R. Troitzsch K.G. Gilbert N. (eds) Tools and Techniques for Social Science Simulation. Heidelberg: Physica-Verlag, 2000, pp.83–114, ch. 6.
28. Schmidt B. (2002) How to give Agents a Personality. http://staff.fim.uni-passau.de/schmidtb/or/modelle/HowtogiveAgents.pdf. Accessed on 30 September 2010.
29. Martinez-Miranda J. Aldea A. Emotions in human and artificial intelligence. Computers in Human Behvaiour 2005; 21: 323–341.
30. Schmidt B. Human Factors in Complex Systems: The Modelling of Human Behaviour, In 19th European Conference on Modelling and Simulation, Riga, Latvia, 2005.
31. Ammar M.B. Neji M. Gouarderes G. Conversational Embodied Peer agents in affective e-learning, In Workshop on Motivational and Affective Issues in ITS. 8th International Conference on ITS, 2006, p.29–37.
32. Neji M. Ammar M.B. Agent-based collaborative affective e-learning framework. The Electronic Journal of e-Learning 2007; 5(2): 123–134.
33. Brailsford S. Schmidt B. Towards incorporating human behaviour in models of health care systems: An approach using discrete event simulation. European Journal of Operational Research 2003; 150(1): 19–31.
34. Malleson N. Brantingham P. Prototype burglary simulations for crime reduction and forecasting. Crime Patterns and Analysis 2009; 2(1): 47–66.
35. Malleson N. Heppenstall A. See L. Crime reduction through simulation: An agent-based model of burglary. Computers, Environment and Urban Systems 2010; 34: 236–250.
36. Scarr H.A. Patterns of Burglary. Washington D.C: U.S. Govenrment Printing Office, 1973.
37. Cromwell P.F. Olson J.N. Avary D.W. Breaking and entering: An ethnographic analysis of burglary. Vol. 8, Thousand Oaks, CA: Sage, 1991.
38. Hearnden I. Magill C. Decision-making by house burglars: Offender’s perspectives. London: Home Office, 2003.
39. Wright R.T. Decker S.H. Burglars on the Job: Streetlife and Residential Break-ins. Boston: Northeastern University Press, 1996.
40. Wright R.T. Decker S.H. Deciding to commit a burglary. In: Ed. Cromwell P. (ed.) In Their Own Words: Criminals On Crime (An Anthology), 4th ed. Cary, NC: Roxbury Publishing Company, 2005, pp.90–101, ch. 9.
41. Wiles P. Costello A. The ‘road to nowhere’: The evidence for travelling criminals. London: Home Office, 2000.
42. Tune G.S. Sleep and wakefulness in normal human adults. British Medical Journal 1968; 2: 269–271.
43. Canter D. Larkin P. The environmental range of serial rapists. Journal of Environmental Psychology 1993; 13: 63–69.
44. Johnson S. Bowers K. The stability of space-time clusters of burglary. The British Journal of Criminology 2004; 44: 55–65.
45. Bernasco W. Nieuwbeerta P. How do residential burglars select target areas? British Journal of Criminology 2005; 45(3): 296–315.
46. Townsely M. Homel R. Chaseling J. Infectious burglaries: A test of the near repeat hypothesis. British Journal of Criminology 2003; 43: 615–633.
47. Brantingham P. Jeffrey Tita George. “Butterflies, bees and burglars: The behavioral ecology of criminal search strategies” Paper presented at the annual meeting of the American Society of Criminology (ASC), Los Angeles Convention Center, Los Angeles, CA, Nov 01, 2006 http://eclectic.ss.uci.edu/~drwhite/center/ppt_pdf/BrantinghamHCSTalk10-06.pdf. Accessed on 30 Sept 2010.
48. Rengert G. The Geography of Illegal Drugs. Boulder, Colorado: Westview Press, 1996.
49. Rengert G.F. The journey to crime: Conceptual foundation and policy implications. In: Ed. Fyfe N.R. Herbert D.T. Evans D.J. (eds) Crime, Policing and Place: Essays in Environmental Criminology. Abingdon, Oxford: Routledge, 1992.
50. Rengert G.F. Piquero A.R. Jones P.R. Distance decay reexamined. Criminology 1999; 37(2): 427–446.
51. Grubesic T.H. Murray A.T. Detecting hot-spots using cluster analysis and GIS, In Proceedings from the Fifth Annual International Crime Mapping Research Conference. Dallas, TX, 2001.
52. Craglia M. Haining R. Signoretta P. Modelling high-intensity crime areas in english cities. Urban Studies 2001; 38(11): 1921–1941.
53. Foxe A.N. An additional classification of criminals. Journal of Criminal Law and Criminology 1939; 30(2): 232–235.
54. Herbert D.T. Hyde S.W. Environmental criminology: Testing some area hypotheses. Transactions of the Institute of British Geographers 1985; 10(3): 259–274.
55. Maguire M. Bennett T. Burglary in a Dwelling: The Offence, the Offender and the Victim. Portsmouth, NH: Heineman, 1982.
56. Davidson R.N. Crime and Environment. London: Croom Helm, 1981.
57. Mawby M.I. Burglary. Abingdon, Oxford: Willan Publishing, 2001.
58. Bennett T. Wright R. Burglars on Burglary: Prevention and the Offender. Aldershot: Glower, 1984.
59. Geddes N. The National Grid Service of the UK, In Second IEEE International Conference on e-Science and Grid Computing (e-Science’06), 2006.
60. Shepherd P.J. Neighbourhood profiling and classification for community safety. School of Geography. University of Leeds, 2006.
61. Vickers D. Rees P. Introducing the national classification of census output areas. Population Trends 2006; 125: 15–29.
62. Vickers D. Rees P. Creating the UK national statistics 2001 output area classification. Journal of the Royal Statistical Society Series A 2007; 170(2): 379–403.
63. Kongmuang C. Modelling Crime: A Spatial Microsimulation Approach.: PhD Thesis, School of Geography, University of Leeds, 2006.
64. Cahill M. Mulligan G. Using geographically weighted regression to explore local crime patterns. Social Science Computer Review 2007; 25: 174–193.
65. Openshaw S. Ecological fallacies and the analysis of areal census data. Environment and Planning A 1984; 16(1): 17–31.
66. Openshaw S. The modifiable areal unit problem. Norwich: Geo Books, 1984.
67. Chainey S. Ratcliffe J. GIS and Crime Mapping. Chichester: John Wiley & Sons, 2005.
68. Eck J.E. Chainey S. Cameron J.G. Leitner M. Wilson R.E. Mapping Crime: Understanding Hot Spots. Washington D.C: National Institute of Justice, 2005.
69. Cromwell P. Olson J.N. The reasoning burglar: Motives and decision-making strategies. In: Ed. Cromwell P. (ed.) In Their Own Words: Criminals On Crime (An Anthology), 4th ed, Roxbury Publishing Company, 2005, p.42–56, ch. 5.
70. Baldwin J. Bottoms A.E. The Urban Criminal: A Study in Sheffield. Tavistock Publications, 1976.
71. Snook B. Individual differences in distance travelled by serial burglars. Journal of Investigative Psychology and Offender Profiling 2004; 1: 53–66.
72. Schmidt B. Schneider B. Agent-Based Modelling Of Human Acting, Deciding And Behaviour – The Reference Model PECS. Proceedings 18th European Simulation Multiconference, SCS Europe, 2004. http://www.scs-europe.net/services/esm2004/pdf/esm-55.pdf ( Accessed October 2010).