Predictors of speeding among drivers based on Prototype Willingness Model

Background: Every year 1.2 millions of people are killed in road accident, and speeding is a major contributor road crashes among young driver. Accounting 40% of fatal crashes involved speeding. The purpose of this study was determining predictor of speeding intention among young driver 19-25 years old young driver in ghaemshahr based on Prototype Willingness Model. Materials and methods: In this cross sectional studies 114 young drivers entered in this study with a clustered random sampling from population of urban health care of Ghaemshahr. Data were collected by using a self reported questionnaire and they were analyzed using ANOVAs, correlation coefficient and regression test. Results: The regression model explained 63.4% of the speeding intention variance. Determinants of the intention to speeding were mostly past behavior, subjective norms, perceived similarity of the prototype, description of the typical other driving, driving experience and attitude. Also intention, willingness and driving experience explained 60.8% of the speeding behavior. Conclusion: Results highlight the importance of attitude, normative aspect and driving experience in the speeding intention and these factors used for designing educational program aimed to reduce speeding and road crashes.