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A Study on Risk Evaluation of Crime in the Seoul Metropolitan Area based on Poisson Regression Model

  • Kim, Hag-Yeol (Department of Urban Planning and Engineering, Seokyeong University) ;
  • Yu, Hye-Kyung (Department of Information & Statistics, Chungbuk National University) ;
  • Park, Man-Sik (Department of Statistics, Department of Statistics, Sung Shin Women's University) ;
  • Heo, Tae-Young (Department of Information & Statistics, Chungbuk National University)
  • Received : 2012.07.01
  • Accepted : 2012.07.18
  • Published : 2012.10.31

Abstract

In this study, we identify the variables that affect the number of crime and spatial correlation in the Seoul metropolitan area, in addition, we measure the relative risk on the incidence of crime by a Poisson regression model. We suggest a statistical methodology to make a risk map for crime based on relative risk instead of the total event of crime by region using the Geographic Information System. To demonstrate the use and advantages of this methodology, this study presents an analyses of the total crime count in 25 wards in the Seoul metropolitan area.

Keywords

References

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