Development of an intelligent patrol routing system using GIS and computer simulations

Artificial Crime Analysis Systems: Using Computer Simulations and Geographic Information Systems

Volumn , Issue , 2008, Pages 339-351

  Szakas, Joseph ^a   Trefftz, Christian ^b   Ramirez, Raul ^c   Jefferis, Eric ^d  

^a UNIVERSITY OF MAINE   (United States)

^b GRAND VALLEY STATE UNIVERSITY   (United States)

^c R2 Research and Consulting   (United States)

^d KENT STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 51649105743     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-59904-591-7.ch017     Document Type: Chapter

References (18)

1. Aurenhammer, F. (1991).Voronoi diagrams - A survey of a fundamental geometric data structure. ACM Computing Surveys, 23, 345-405.
2. Calvete H. I., Gale, C., Oliveros, M. J., & Sanchez-Valverde, B. (2004). Vehicle routing problems with soft time windws: An optimization based approach. Monografias del Seminario Matematico Garcia del Galdeano, 31, 295-304.
3. Clarke, K. C. (2002). Getting started with GIS. Upper Saddle River, NJ: Prentice Hall.
4. Clarke, R., & Eck, J. (2005). Crime analysis for problem solvers in 60 small steps. Center for Problem Oriented Policing.
5. Cohen, L. E., & Felson, M. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44, 588-608.
6. Cohen, L. E., Kluegel, J. R., & Land, K. C. (1981). Social inequality and predatory criminal victimization: An exposition and test of a formal theory. American Sociological Review, 46, 505-524.
7. Cornish, D. B., & Clarke, R.V. (1986). The reasoning criminal: Rational choice perspectives on offending. New York: Springer.
8. Denning, P. J. (2006). Infoglut. Communications of the ACM, 49(7), 15-19.
9. Goodman, J., & O'Rourke, J. (Eds). (2004). Hand-book of discrete and computational geometry (2nd ed.). Boca Raton, FL: CRC Press.
10. Green, P. J., & Sibson, R. (1978). Computing Dirichlet Tessellations in the plane. Compuing Journal, 21, 168-173.
11. Hindelang, M. J., Gottfredson, M. R., & Garafalo, J. (1978). Victims of personal crime: An empirical foundation for a theory of personal victimization. Cambridge: Ballinger.
12. th Conference of the Cognitive Science Society, University of California, Irvine, CA. August 15-17. pp. 329-334.
13. Sherman, L.W., Gartin, P., & Buerger, M. (1989). Hot spots of predatory crime: Routine activities and the criminology of place. Criminology, 27, 27-55.
14. Sherman, L. W., & Weisburd, D. (1995). General deterrent effects of police patrol in crime "hot spots": A randomized, controlled trial. Justice Quarterly, 12, 626-648.
15. Skogan, W., & Frydl, K. (Eds). (2004). Fairness and effectiveness in policing: The evidence. Committee to Review Research on Police Policy and Practices, National Research Council ISBN: 0-309-52559-4,
16. Szakas, J. S., & Trefftz, C. (2006). Voronoi-diagram based heuristics for the location of mobile and unreliable service providers. In Proceedings of the Conference on Advances in Computer Science and Technology (ACST). Puerto Vallarta.
17. Tomlin, C. D. (1990). Geographic information systems and cartographic modeling. Upper Saddle River, NJ: Prentice Hall.
18. Weisburd, & Eck, J. (2004). What can police do to reduce crime, disorder and fear? The ANNALS of the American Academy of Political and Social Science, 593, 42-65