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http://dx.doi.org/10.11108/kagis.2010.13.3.014

Hotspot Analysis of Urban Crime Using Space-Time Scan Statistics  

Jeong, Kyeong-Seok (Gyeongnam Development Institute)
Moon, Tae-Heon (2nd BK21 and ERI, Dept. of Urban Engineering, Gyeongsang National University)
Jeong, Jae-Hee (Gyeongnam Development Institute)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.13, no.3, 2010 , pp. 14-28 More about this Journal
Abstract
The aim of this study is to investigate crime hotspot areas using the spatio-temporal cluster analysis which is possible to search simultaneously time range as well as space range as an alternative method of existing hotspot analysis only identifying crime occurrence distribution patterns in urban area. As for research method, first, crime data were collected from criminal registers provided by official police authority in M city, Gyeongnam and crime occurrence patterns were drafted on a map by using Geographic Information Systems(GIS). Second, by utilizing Ripley K-function and Space-Time Scan Statistics analysis, the spatio-temporal distribution of crime was examined. The results showed that the risk of crime was significantly clustered at relatively few places and the spatio-temporal clustered areas of crime were different from those predicted by existing spatial hotspot analysis such as kernel density analysis and k-means clustering analysis. Finally, it is expected that the results of this study can be not only utilized as a valuable reference data for establishing urban planning and crime prevention through environmental design(CPTED), but also made available for the allocation of police resources and the improvement of public security services.
Keywords
Spatio-temporal Cluster Analysis; Space-Time Scan Statistics; Urban Crime; Hotspot;
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Times Cited By KSCI : 3  (Citation Analysis)
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