국가기초구역을 이용한 범죄예측모델 :안양시 사례를 중심으로

Abstract

In this paper, we present a case study for developing a crime prediction model in Korea. This model aims to predict regions with high crime rates compared with other regions. To develop the prediction model, we first selected critical variables related to crime occurrence. Second, we collected data for the selected variables some of which were provided by the city hall of Kyung-gi province in Korea. Lastly, we determined relative weights for the selected variables and completed the prediction model by aggregating the selected variables throughweighted summation. Regions with high crime rates were predicted based on the prediction model in this case study.