Analysis of adolescent traffic safety behavior based on multiple regression model

In order to enhance the traffic safety level of adolescents in Guangzhou and ensure their safety, this study investigates the factors influencing adolescent traffic safety behavior based on the safety survey data of adolescents in Guangzhou. Through quantitative analysis, four indicators most closely related to adolescent traffic safety behavior were selected (education, awareness, attitude, and personal factors). A survey questionnaire was designed and used to obtain scores for traffic safety education, awareness, and attitude. SPSS 19.0 was employed to conduct Pearson correlation analysis and multiple regression model analysis for empirical analysis. The results indicate that education, awareness, attitude, and personal factors can well explain the scores of adolescent traffic safety behavior. The significance level sig. for all variables is less than 0.05, which suggests that all variables have a significant impact and can be effectively applied in the evaluation of adolescent traffic safety behavior.