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http://dx.doi.org/10.22156/CS4SMB.2018.8.1.161

Extraction of Crime Vulnerable Areas Using Crime Statistics and Spatial Big Data  

Park, So-Rang (Department of Geographic Information System Engineering, Namseoul University)
Park, Jae-Kook (Department of Geographic Information System Engineering, Namseoul University)
Publication Information
Journal of Convergence for Information Technology / v.8, no.1, 2018 , pp. 161-171 More about this Journal
Abstract
This study set out to identify crime vulnerable areas with the GIS spatial analysis technique for the prediction of crimes. Crime vulnerable areas were extracted from the statistics of crimes with the GIS hotspot analysis technique and the inverse distance weighted(IDW) method applied to different crimes according to places and use districts. The scope of surveillance and weight were calculated for each of CPTED surveillance elements including CCTV, streetlamp, patrol division, and police substation. Maps of crime vulnerable areas were overlapped one after another to make a CPTED-based one expressed in four grades(safety, attention, warning, and risk).
Keywords
CPTED; Big Data; GIS; Hot Spot; Inverse Distance Weighted; Crime Map;
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