ScholarWorks@동국대학교

초록

This paper aims to analyze the effects of street-level visibility on the occurrence of burglaries in multi-family and multi-unit housing areas and provide an evidence-based understanding that would be useful in predicting future crime at finer scales than are usually considered in previous studies. For this, streets in the multi-family and multi-unit housing areas in Seoul, were set as the basic units of analysis, and data on burglaries in the area over 12 month period in 2010 were collected. Considering building, street, spatial and behavior characteristics of street components as independent variables to explain street-level visibility, we carry out visibility graph analysis (VGA), field survey and pedestrian volume counting. The results from multiple logistic regression analysis demonstrate that it is connectivity, volume of pedestrian, rate of the front entrance and visual control that have positive effects on burglary rates, while Integration, whether the CCTV, average of the window and clustering coefficient have negative effects. We discuss further how these empirical results can shed new light on crime prevention through environmental design (CPTED) principles as well as on our understanding of burglary behaviors in multi-family and multi-unit housing areas.

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