What factors predict drivers' self-reported lane change violation behavior at urban intersections? A study in China.

ABSTRACT: Lane change violations are a major cause of traffic conflicts and accidents at urban intersections and one of many road-safety issues in China. This study aims to explore the socio-psychological factors underlying drivers' motivation for lane change violation behavior at urban intersections and examines how these factors predict this violation behavior. A self-reported questionnaire is designed by applying the construct of the theory of planned behavior (TPB) to collect data. Five hundred-six valid responses are received from the questionnaire survey conducted on the Internet in China. The data are then analyzed using structural equation modeling (SEM). The results of the analysis show that behavioral intention is the strongest predictor of self-reported lane change violation behavior at u

SUBMITTER: Wang X 

PROVIDER: S-EPMC6519898 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature