Evolution of Micro, Macro, Me so Level Simulations for Spatial Analysis of Burglary in Metropolis using Crime Mapping and GIS
M. Vijay Kumar1, C. Chandrasekar2
1M.VijayKumar, Assistant Professor, Department of Computer Applications, KSR College of Engineering, Tiruchengode
2Dr. C.C handrasekar, Associate Professor, Department of Computer Science, Periyar University, Salem.
Manuscript received on October 04, 2011. | Revised Manuscript received on October 21, 2011. | Manuscript published on November 05, 2011. | PP: 177-183 | Volume-1 Issue-5, November 2011. | Retrieval Number: E0184091511/2011©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Crime is a long overwhelmed issue of human society. Especially, with the expansion of cities and population aggregation in recent years, crime problems have become a great challenge in urbanization process. Both urban policy-makers and police departments have realized the importance of a better understanding of the dynamics of crime. This study explores the spatial characteristic of crime in Chennai using Geographical Information System (GIS) and police call data of the metropolis in 2008. In the research, the combination of both applied and theoretical methods is used to analyze the characteristics of Chennai crime. To find out the crime pattern of the city, three spatial levels (i.e. macro level, me so level and micro level) are adopted. In this paper the crime is divided into two categories: violent crime and property crime. The spatial distribution of the two kinds of crimes is analyzed on a comparative basis of different properties in terms of land use type and population features, and the relevant factors of the crime pattern are investigated. The results reveal that there are some hotspots in downtown, transportation hubs, where population density is relatively high and the crime density decreases gradually away from the center. The analytical and theoretical result will undoubtedly lead to enhanced crime prevention strategies of Chennai in the future.
Keywords: Crime, Spatial Pattern, GIS, Police Records; Chennai.