crime, GIS, residential burglary, crime risk, space syntax
Abstract
The research presented in this paper is based on the space syntax theory saying that pedestrian movement strongly correlates with some topological properties of urban spaces. Since crime is closely related to the urban environment in which it happens it makes a sense to analyse urban crime through the prism of urban network. Thus, residential burglaries committed in the city of New Haven, USA, during 2009-2013 were analysed by the application of space syntax method with the combination of GIS and statistical analysis (correlation and linear regression analysis). Crime risk band analysis was applied for the calculation of burglary risk for each street segment. Research results reveal relations between mostly all the topological properties and risk band. According to the regression analysis the further a street segment with residential dwelling is from the main routes the higher burglary risk is on that segment, and also that well-connected street segments are more vulnerable to residential burglaries.
