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

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 urban intersections. Perceived behavioral control has both direct and indirect effects on self-reported lane change violation behavior. Furthermore, attitude, subjective norms and perceived behavioral control are found to have significant correlations with drivers’ intention of lane change violations at urban intersections. The results of this study could provide a reference for designing more effective interventions to modify drivers’ lane change violation behavior at urban intersections.</div

Results of EFA (<i>N</i> = 253).

Results of EFA (N = 253).</p

Normality assessment of the sample for CFA (<i>N</i> = 253).

Normality assessment of the sample for CFA (N = 253).</p

Estimation results of CFA (<i>N</i> = 253).

Estimation results of CFA (N = 253).</p

Pearson correlations among items.

Pearson correlations among items.</p

Proposed model.

The proposed model describes the hypothesized relationships among the variables. One-way straight arrows represent one-way path relationships, and two-way arrows represent two-way path relationships between variables.</p

Statements of constructs and corresponding items.

Statements of constructs and corresponding items.</p

Fit indices statistics in CFA (<i>N</i> = 253).

Fit indices statistics in CFA (N = 253).</p

Self-reported lane change violation behavior by gender and age.

Self-reported lane change violation behavior by gender and age.</p

Hypotheses of this study.

Hypotheses of this study.</p