Login / Signup

Analysis of factors influencing expressway speeding behavior in China.

Zijun LiangYun Xiao
Published in: PloS one (2020)
Based on the characteristics of expressway driving behavior, a punishment avoidance variable is introduced in this study to modify the theory of planned behavior (TPB), and the analysis model of expressway speeding behavior is improved and verified through survey data. The mechanism of the effects of attitude to behavior, subjective norm, perceived behavioral control, and punishment avoidance on expressway speeding behavior is analyzed. The results show that drivers lack a correct understanding of expressway speeding behavior and that punishment avoidance has a significant effect on expressway speeding behavior. Younger drivers (25-34), men, High income earners, and those who received more penalty points are considered prone to speeding. The study provides valuable contributions to the development of the Chinese version of the expressway speeding analysis model.
Keyphrases
  • physical activity
  • mental health
  • machine learning
  • depressive symptoms
  • social support
  • big data
  • middle aged
  • artificial intelligence
  • data analysis