Risk Areas for Car Robbery in Lat Phrao District, Bangkok, Thailand

摘要

Car robbery is one the serious problems in a large city like Bangkok, the capital of Thailand, and statistics showed that one or two vehicles were stolen every day. The objective of this study is to identify risk area for car robbery in Lat Phrao district of Bangkok, The excel file of 5-year period car stolen records collected during 2005 - 2009 by Lat Phrao police station were converted into GIS format, to identify and describe spatial and temporal distribution of the incident. Next, the data were spatially interpolated using various algorithms, and the outputs were compared to select the most appropriate output. The result showed that the kernel density estimation described spatial distribution of the robbery very well, and Bang Kapi and Happy Land sub districts had the highest risk for car robbery. To make the output more understandable for general users, the kernel density estimation was overlaid on high resolution satellite imageries in Google Earth. The results provide a basis for further study on risk areas for the car robbery, analysis of factors leading to the risk, and help law enforcement administrators in making better decisions.