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The purpose of this study is to provide a basic materials in traffic safety policy making by analysing the effectiveness of traffic enforcement through driver's attitude changing. Data of 296 drivers's behavior and traffic accident records in the ten signalized intersections for 5 years were collected in Pusan Metropolitan since 2003. To analysing the effectiveness of police traffic enforcement through the driver's attitude changing, analysis of covariance and logistic regression analysis were conducted. The results are as follows. First, there isn't any effectiveness of traffic accident reduction of traffic enforcement. Comparing the adjusted means as a result of covariance analysis, average traffic accidents of the drivers with enforced experiences are more than those of unenforced. Second, comparing the odds ratio as a result of logistic regression analysis, the probabilities of drivers with enforced experiences are as 4.95 times high as those of unenforced. Third, both the results of covariance analysis and logistic regression are the same. Consequently, the attitudes of enforced drivers aren't changed through the police traffic enforcement. So, some researchers suggest that the incentive measures rather than the regulatory ones, for example discounts of parking fare, amusement park fare, premium, are more effective in changing the driver's attitude and in reducing traffic accident. Police Agency should consider these incentive measures into consideration to reduce traffic accidents. Also the periodic and well-organized traffic safety education will contribute to reducing traffic accidents.