Mixed-effect logit modeling of red-light violations among motorcyclists

Abstract

Red-light violations have been associated with road traffic crashes across the globe. This study was conducted to determine the rate of red-light violations among motorcyclists in the Accra metropolis, Ghana, and the associated risk factors. Observational data collected at four signalized intersections were used. Possible risk factors for red-light violation were determined using mixed-effect logistic regression model. The results showed that 64% of motorcyclists violated the red-light. The results further revealed that motorcyclists with pillion passengers were more likely to violate red-lights. Also, motorcyclists were more likely to violate red-lights in the evenings, on weekends and when the traffic cycle length was more than two minutes. The study also found that motorcyclists were less likely to violate red-lights at T-junctions and during times that other motorcyclists stop when a red traffic signal is on.

KEYWORDS:

• Mixed-effect model
• red-light violation
• Motorcyclist
• pillion passengers
• Ghana

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Acknowledgments

The authors are grateful to the reviewers and editor for their useful comments and suggestions on the manuscript.