Burglary is the most frequent crime in Taiwan nowadays and is closely related to geographical locations. This study is aimed to identify the hotspots of residential burglary in Taipei in 2000 and 2004 and to determine the locational characteristics of these hotspots. The locations of residential burglaries in Taipei were converted into a point map by matching the addresses reported to the police. The residential burglaries were not randomly distributed in Taipei, but concentrated in certain areas. Both burglary hotspots of Taipei City obtained by using kernel density and Getis-Ord G are concentrated around the city center and spread to the city outskirt. To understand the locational characteristics of high-intensity residential burglary areas, this study presented two kinds of regression models. Stepwise multivariate regression analysis showed that population with college or higher degrees, relative housing price, population of age 20-60, density of built-up area, and population density were significantly correlated with intensity of residential burglaries (R2 = 0.316). The results support the routine activity theory, which suggests burglaries occur in areas of higher daily activities, areas with more opportunities for burglaries and have less chance of being arrested. The other model is the geographically weighted regression model that had a R2 value of 0.568, higher than the global regression model.

資料來源:http://handle.ncl.edu.tw/11296/ndltd/95453059183464601338