Journal of the Architectural Institute of Korea Planning & Design (대한건축학회논문집:계획계)

Architectural Institute of Korea (대한건축학회)
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A Study on the Development of Multi-agent-based Model Searching Crime Risk Spots in School Zone Streets

다중 행위자 기반 학교주변 가로의 범죄위험 지점 탐색모델 개발에 관한 연구

  • Received : 2016.05.10
  • Accepted : 2016.07.06
  • Published : 2016.07.30
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Abstract

The purpose of this study was to develop a multi-agent-based model searching crime risk spots in school zone streets. The specific location data with crime risk have been were hardly, as meso-scale or local space, identified within school zone streets. The review of precedent studies on school zone crimes, situational crime theories and agent-based modeling and simulation approaches related to crime situations suggested directions of the development. Overall process included four parts; data input, modeling, simulation and result recording. Two networks representing walkways and vehicular roads considering agents' travel methods and the use types of facilities configured a combined spatial network model. GIS system linked to the model enabled it to derive data for spatial networks and the facility use types. Students, attackers, school staffs, police officers driving patrol cars, police stations and pedestrians were implemented as behavioral agents composing crime situations. Finally, a spatio-temporal simulation of the proposed model searching crime risk spots in school zone streets was able to specify the spots with potential crime situations. This study also applied the implemented model and the simulation procedure to an existing school zone conditions and found crime risk spots frequently identified from a field survey on the area.

Keywords

References

  1. Becker, G. S. (1968). Crime and Punishment: An Economic Approach, 169.
  2. Choi, J. S., Kang, D. W., & Tack, G, R. (2011). A Preliminary Study on Personal Preferred Walking Speed. Journal of Sport and Leisure Studies, 45, 725.
  3. Clarke, R. V. G. (1997). Situational crime prevention: Criminal Justice Press, 225-256.
  4. Clarke, R. V., & Cornish, D. B. (1985). Modeling offenders' decisions: A framework for research and policy. Crime and justice, 147-185.
  5. Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American sociological review, 588-608.
  6. Costanzo, C. M., Halperin, W. C., & Gale, N. (1986). Criminal Mobility & the Directional Component. In Robert M Figlio, et al. (Ed), Journeys to Crime (From Metropolitan Crime Patterns), 73-95.
  7. Devia, N., & Weber, R. (2013). Generating crime data using agent-based simulation. Computers, Environment and Urban Systems, 42, 26-41. https://doi.org/10.1016/j.compenvurbsys.2013.09.001
  8. Gibson, J. J. (1986). The ecological approach to visual perception, Routledge, 36.
  9. Groff, E. R. (2007). Situating Simulation to Model Human Spatio-temporal Interactions: An Example Using Crime Events. Transactions in GIS, 11(4), 507-530. https://doi.org/10.1111/j.1467-9671.2007.01058.x
  10. Hayslett-McCall, K., Qui, F., Curtin, K. M., Chastain, B., Schubert, J., & Carver, V. (2008). The simulation of the journey to residential burglary. Artificial crime analysis systems, 281-300.
  11. Heath, B. L., & Hill, R. R. (2014). Some insights into the emergence of agent-based modeling. In Agent-Based Modeling and Simulation, Palgrave Macmillan, 33-34.
  12. Kang, E. Y., Park, M. R., & Kim. S. M. (2010). How Institutionalize CPTED in Korea(III) - Safer School and Safer Community, Korean Institute of Criminology, 20.
  13. Lee, K. H. (2008). Guideline development for CCTV system installation and management in child safety zone. Ministry of Health & Welfare Research Report, 54-78.
  14. Levy, S. (1993). Artificial life: A report from the frontier where computers meet biology. Random House, 23-27.
  15. Macal, C. M., & North, M. J. (2005). Tutorial on agent-based modeling and simulation. In Proceedings of the 37th conference on Winter simulation, Winter Simulation Conference, 2-15.
  16. Ministry of Education (2014). Legislation for student safety and protection. Retrieved from January 19, 2016 from http://www.moe.go.kr/web/100026/ko/board
  17. Ministry of Land, Infrastructure and Transport (2016). Korean Building Code Act, 14-5. Retrieved April 20, 2016 from http://www.law.go.kr
  18. National Spatial Information Clearinghouse (2014). Road Name Address Digital Map. Retrieved January 20, 2014 from https://www.nsic.go.kr/ndsi
  19. O'Sullivan, D., & Perry, G. L. (2013). Spatial simulation: exploring pattern and process. John Wiley & Sons, 18-23.
  20. Park, J. H., Kang, Y. K., Kim, D. W., & Jeong, J. S. (2014). The Development of Crime Risk Assessment Tool and Its Application(III) - with Focus on Sexual Violence and School Violence, Korean Institute of Criminology, 74-75.
  21. Schelling, T. C. (1971). Dynamic models of segregation, Journal of mathematical sociology, 1(2), 143-186. https://doi.org/10.1080/0022250X.1971.9989794
  22. Shin, E. K., Park, J. H., Lee, K. H., Kang, S. J., Kang, Y. K., Kim, D. W., & Jeong, J. S. (2014). The Development of Crime Risk Assessment Tool and Its Application(III), Korean Institute of Criminology, 81-87.