Analysis of crime patterns through the integration of an agent-based model and a population microsimulation

Computers, Environment and Urban Systems

Volumn 36, Issue 6, 2012, Pages 551-561

  Malleson, Nick ^a   Birkin, Mark ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Agent based modelling; Burglary; Crime simulation; Microsimulation

Indexed keywords

AGENT-BASED MODEL; AGENT-BASED MODELLING; BURGLARY; IDENTIFICATION OF INDIVIDUALS; MICROSIMULATION; SPATIAL SCALE;

COMPUTATIONAL METHODS;

CRIME;

COMPUTER SIMULATION; CRIME; IDENTIFICATION METHOD; POPULATION MODELING; SPATIAL VARIATION;

EID: 84869877624     PISSN: 01989715     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compenvurbsys.2012.04.003     Document Type: Article

References (37)

1. Andresen M.A. The place of environmental criminology within criminological thought. Classics in environmental criminology 2009, 5-28. Taylor & Francis. M.A. Andresen, P.J. Brantingham, J.B. Kinney (Eds.).
2. Axelrod R. Advancing the art of simulation in the social sciences. Simulating social phenomena 1997, 21-40. Springer-Verlag, Berlin. R. Conte, R. Hegselmann, P. Terna (Eds.).
3. Bernasco W. How do residential burglars select target areas?: A new approach to the analysis of criminal location choice. British Journal of Criminology 2004, 45(3):296-315.
4. Birkin, M., Turner, A., & Wu, B. (2006). A synthetic demographic model of the UK population: Progress and problems. In 2nd International conference on e-social science. Manchester.
5. Bonabeau E. Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences 2002, 99003(90):7280-7287.
6. Brantingham, P. J., & Brantingham, P. (1981). Notes on the geometry of crime. In Brantingham, P. J., & Brantingham, P., (Eds.), Environmental criminology, (pp. 27-54). Prospect Heights.
7. Brantingham P.L., Brantingham P.J. Nodes, paths and edges: Considerations on the complexity of crime and the physical environment. Journal of Environmental Psychology 1993, 13(1):3-28.
8. Castle, C. J. E., & Crooks, A. T. (2006). Principles and concepts of agent-based modelling for developing geospatial simulations. (UCL Working Papers Series, Paper 110, Centre For Advanced Spatial Analysis, University College London). http://eprints.ucl.ac.uk/archive/00003342/01/3342.pdf.
9. Clarke R.V., Cornish D.B. Modeling offenders' decisions: A framework for research and policy. Crime and Justice 1985, 6:147-185.
10. Cohen L., Felson M. Social change and crime rate trends: A routine activity approach. American Sociological Review 1979, 44:588-608.
11. Costanza R. Model goodness of fit: A multiple resolution procedure. Ecological Modelling 1989, 47:199-215.
12. Cromwell P.F., Olson J.N., Avary D.W. Breaking and entering: An ethnographic analysis of burglary. Studies in Crime, Law and Justice 1991, Vol. 8. Sage Publications, Newbury Park, London.
13. Eck J.E., Liu L. Contrasting simulated and empirical experiments in crime prevention. Journal of Experimental Criminology 2008, 4(3):195-213.
14. Eck J., Weisburd D. Crime places in crime theory. Crime and place 1991, Vol. 4. Sage Publications, Newbury Park, London.
15. Epstein J., Axtell R. Growing artificial societies: Social science from the bottom up 1996, Criminal Justice Press, Newbury Park, London.
16. Flatley J., Kershaw C., Smith K., Chaplin R., Moon D. Crime in England and Wales 2009/10. Findings from the British crime survey and police recorded crime 2010, Home Office, London. 3rd ed.
17. Glyde J. Localities of crime in suffolk. Journal of the Statistical Society of London 1856, 19:102-106.
18. Harland K., Heppenstall A., Smith D., Birkin M. Creating realistic synthetic populations at varying spatial scales: A comparative critique of microsimulation techniques. Journal of Artificial Societies and Social Simulation 2012, 15(1).
19. Heppenstall A.J., Evans A., Birkin M.H. Genetic algorithm optimisation of an agent-based model for simulating a retail market. Environment and Planning B: Planning and Design 2007, 34:1051-1070.
20. Jeffery C.R. Crime prevention through environmental design 1971, Sage Publications.
21. Johnson S.D., Bowers K.J. Permeability and burglary risk: Are Cul-de-Sacs Safer?. Journal of Quantitative Criminology 2009, 26(1):89-111.
22. Kongmuang, C. (2006). Modelling crime: A spatial microsimulation approach. PhD thesis, School of Geography, University of Leeds, LS2 9JT, UK.
23. Malleson, N. (2010). Agent-based modelling of burglary. PhD thesis, School of Geography, University of Leeds, UK.
24. Malleson, N., Heppenstall, A., Evans, A., See, L. (2010). Evaluating an agent-based model of burglary. Working paper 10/1, School of Geography, University of Leeds, UK. January 2010. http://www.geog.leeds.ac.uk/fileadmin/downloads/school/research/wpapers/10_1.pdf.
25. Malleson N., Heppenstall A., See L. Crime reduction through simulation: An agent-based model of burglary. Computers, Environment and Urban Systems 2010, 34(3):236-250.
26. Malleson N., See L., Evans A., Heppenstall A. Implementing comprehensive offender behaviour in a realistic agent-based model of burglary. Simulation: Transactions of the Society for Modeling and Simulation International 2012, 88(1):50-71.
27. Openshaw S. The modifiable areal unit problem. Concepts and techniques in modern geography 1984, Geo Books, Norwich.
28. O'Sullivan D., Haklay M. Agent-based models and individualism: is the world agent-based?. Environment and Planning A 2000, 32(8):1409-1425.
29. Sampson R.J., Raudenbush S.W., Earls F. Neighborhoods and violent crime: A multilevel study of collective efficacy. Science 1997, 277:918-924.
30. Schelling T. Models of segregation. The American Economic Review 1969, 59(2):488-493.
31. Schmidt B. The modelling of human behaviour 2000, Society for Computer Simulation International, Ghent, Belgium.
32. Tseloni A. Multilevel modelling of the number of property crimes: Household and area effects. Journal of the Royal Statistical Society A 2006, 169:205-233.
33. Wiles P., Costello A. The 'road to nowhere': The evidence for travelling criminals. Home Office Research Study 207 2000, Home Office, London.
34. Williamson P., Birkin M., Rees P.H. The estimation of population microdata by using data from small area statistics and samples of anonymised records. Environment and Planning A 1998, 30:785-816.
35. Wright R., Decker S. Burglars on the job: Streetlife and residential break-ins 1996, Northeastern University Press, Boston.
36. Wu B., Birkin M., Rees P. A spatial microsimulation model with student agents. Computers, Environment and Urban Systems 2008, 32(6):440-453.
37. Wu B.M., Birkin M.H., Rees P.H. A dynamic MSM with agent elements for spatial demographic forecasting. Social Science Computer Review 2010, 29(1):145-160.