Extraction of Estimated Areas Vulnerable to Crime Using Seamless Digital Topographic Map and Floating Population

It is important to prevent crime in advance rather than take action after the crime has occurred, because crime causes human or material harm. In addition, in order to prevent crime, areas vulnerable to crime should be extracted. Therefore, in this study, the research was carried out to extract crime vulnerable areas considering the temporal and spatial characteristics without using crime location information directly, considering the domestic circumstance where crime location information is not provided. Spatial information was extracted from a seamless digital topographic map using road width, road intersection, road angle, pavement material, and types of buildings adjacent to the road. Temporal information was also extracted by analyzing kernel density from floating population data provided in point form. For the spatio-temporal analysis, two characteristics information were overlaid to extract vulnerable areas. In order to verify the vulnerable areas, the road view images provided by Daum portal were checked. As a result, it was found that the areas were mostly deteriorated detached houses and the roads were not well maintained.