Abstract
This study used a logistic regression model to investigate the relationship between several predicting factors and burglary occurrence probability with regard to the epicenter. These factors include day of the week, time of the day, repeated victimization, connectors and barriers. Data was collected from a local police report on 2010 burglary incidents. Results showed the model has various degrees of significance in terms of predicting the occurrence within difference ranges from the epicenter. Follow-up refined multiple comparisons of different sizes were observed to further discover the pattern of prediction strength of these factors. Results are discussed and further research directions were given at the end of the paper.
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Gottfredson, M., Hirschi, T.: A General Theory of Crime. Stanford University Press, Stanford (1990)
Haddad, G.R.K., Moghadam, H.M.: The socioeconomic and demographic determinants of crime in Iran (a regional panel study). European Journal of Law and Economics 32(1), 99–114 (2011)
Hammond, L., Youngs, D.: Decay functions and criminal spatial processes: Geographical offender profiling of volume crime. Journal of Investigative Psychology and Offender Profiling 8(1), 90–102 (2011)
Horney, J.: An alternate psychology of criminal behavior. Criminology 44, 1–16 (2006)
Kai, Y.T., Heng, M.A., Bullock, L.M.: What provokes young people to get into trouble: Singapore stories. Preventing School Failure 51(2), 13–17 (2007)
Jing, W., Tao, Z.: Analysis of decision tree classification algorithm based on attribute reduction and application in criminal behavior. In: Pro. of 2011 3rd Conference on Computer Research and Development (ICCRD), Shanghai, China, March 11-13, pp. 27–30 (2011)
Mischel, W., Shoda, Y.: A cognitive-affect system theory of personality: Reconceptualizing situations, dispositions, dynamics, and invariance in personality structure. Psychological Review 102(2), 246–268 (1995)
Nee, C., Meenaghan, A.: Expert decision making in burglars. Brit. J. Criminol. 46, 935–949 (2006)
Peeters, M.P.: The influence of physical barriers on the journey-to-crime of offenders. Netherlands Institute for the Study of Crime and Law Enforcement, The Netherlands (2007)
Pillai, G., Kumar, R.: Simulation of human criminal behavior using clustering algorithm. In: Proc. of International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007), vol. 4, pp. 105–109 (2007)
Pitcher, A., Johnson, S.: Exploring theories of victimization using a mathematical model of burglary. Journal of Research in Crime and Delinquency 48(1), 83–109 (2011)
Ratcliffe, J.H.: The hotspot matrix: a framework for the spatio-temporal targeting of crime reduction. Police Practice and Research 5(1), 5–23 (2004)
Ratcliffe, J.H., McCullagh, M.J.: The perception of crime hot spots: a spatial study in Nottingham. In: LaVigne, N. (ed.) PERF/Crime Mapping Research Center, U.K., Washington, DC, ch. 6 (1998)
Rengart, G.F.: The journey to crime. In: Bruinsma, G., Elffers, H., Willem, J., de Keijser (eds.) Punishment, Places, and Perpetrators: Developments in Criminology and Criminal Justice Research, pp. 169–181. Willan Publishing, UffculmeCullompton (2004)
Sagovsky, A., Johnson, S.D.: When does repeat burglary victimization occur? The Australian and New Zealand Journal of Criminology 40(1), 1–26 (2007)
Short, M.B., D’Orsogna, M.R., Brantingham, P.J., Tita, G.E.: Measuring and modeling repeat and near-repeat burglary effects. Journal of Quantitative Criminology 25(3), 325–339 (2009)
Sterzer, P.: Born to be criminal? What to make of early biological risk factors for criminal behavior. The American Journal of Psychiatry 167(1), 56–60 (2010)
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Antolos, D., Liu, D., Ludu, A., Vincenzi, D. (2013). Burglary Crime Analysis Using Logistic Regression. In: Yamamoto, S. (eds) Human Interface and the Management of Information. Information and Interaction for Learning, Culture, Collaboration and Business,. HIMI 2013. Lecture Notes in Computer Science, vol 8018. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39226-9_60
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