earticle

영어

Crime prevention activities that take place in the physical environment, such as police patrolling, can work effectively when they are combined with intelligent detection that uses information technology (IT). Many different real-world factors must be considered when implementing intelligent detection methods. In risky real-world situations, fixed factors, static factors, and a variety of dynamic factors all play important roles. This study aimed to determine the variable factors involved in risky situations by performing an analysis on data from specific crime incidents. Factors related to the occurrence of the specific crime were determined and risk of occurrence was calculated using these factors with a multi-factor convergence scheme. The analysis and risk calculation performed in this study are expected to contribute to the development of a more efficient and intellectualized prevention service, as these can help provide information about real-time risk levels for particular public safety situations.