Exploring influences on the intention of motorcyclists to drink and ride: An investigation in a fourth-tier city of China

Traffic Inj Prev. 2023;24(2):121-125. doi: 10.1080/15389588.2022.2159763. Epub 2023 Jan 12.

Abstract

Objective: The analysis of motorcyclists' intention to drink and ride can help reduce the possibility of accidents caused by the relevant behavior of motorcyclists. The main objectives of this study are to identify important factors in motorcyclists' intention to drink and ride and to make some recommendations that could effectively reduce their riding intention after drinking.

Methods: To explore the effects of demographic and psychological variables on motorcyclists' behavioral intention to drink and ride, a questionnaire based on the extended theory of planned behavior was designed. Two hundred and five fully completed questionnaires were collected through a survey in Shaoguan, China. A hierarchical regression model was used to analyze observed data.

Results: The final hierarchical regression model explained 37.5% of the variance in intention to drink and ride. While initial tests showed that gender, marital status and age influenced some TPB variables, gender was the only demographic variable found to be significant on the riding intention after drinking alcohol in the hierarchical regression analysis. Among the psychological factors quantified by the extended theory of planned behavior, all factors had significant effects on intention except for risk perception, and subjective norms were the most influential factor.

Conclusions: The extended theory of planned behavior can be well used to examine the factors that influence motorcyclists' intention to drink and ride. A more nuanced understanding of these factors can be found in the results.

Keywords: Motorcyclists; descriptive norms; drink and ride intention; moral norms; risk perception; road traffic safety; the theory of planning behavior.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidents, Traffic*
  • China
  • Humans
  • Intention*
  • Psychological Theory
  • Regression Analysis
  • Surveys and Questionnaires