2020 Volume 6 Issue 2 Pages A_63-A_70
In cities where many people gather, it is necessary to realize better public security, safety and security. The Metropolitan Police Department is envisioning the advancement, speed, and efficiency of police activities and the prevention of crimes and traffic accidents by predicting in advance. In the implementation of evidence-based policies, police need to determine the amount of street policing input based on the results of predictions. However, the effects of reducing accidents due to crackdowns and street activities are not quantified, and are currently determined at the discretion of police officers. Therefore, in this study, the risk of accidents of control and street activities was quantified by predicting accident risk recursively by multiple regression analysis considering two factors of street control activities and road environmental factors. As a result, Using the established regression model, it was found that crackdown and street activities have the effect of reducing accident risk to a certain extent.
