Speeding Behavior Analysis Based on Structural Equation Model

In order to identify and quantify the causal relationships between drives' compliance with speed limit signs or warning messages and its associated factors in different traffic conditions, the data of 534 driver questionnaire surveys were analyzed by exploratory factor analysis and structural equation model. The analysis results indicate that the structural equation model provides a good fit with the observed values of variables, all the fit indices values are more than 0.9 and can better meet the criterion. The findings reveal that drivers' satisfaction with speed limit is the most significant variable that positively affecting drivers' compliance with speed limit instructions under conditions of low and high hazard perception. Drivers' personal factors, including age, driving experiences, speeding citation numbers, and driving frequency, are the second significant variables. Based on the present study, recommendations of improving the drivers' acceptation and satisfaction with speed limit, increasing drivers' risk of speeding behaviors are suggested, which would be effective measures to enhance drivers' compliance with speed limit instructions.