Mixed-effect logit modeling of red-light violations among motorcyclists. Issue 3 (19th August 2022)

• Record Type: Journal Article
• Authors: Nkrumah, Yahya A.; Aidoo, Eric N.; Ackaah, Williams
• Is Part Of: Communication in statistics. Volume 8:Issue 3(2022)
• Page Start: 505
• Page End: 514
• Publication Date: 2022-08-19
• Subjects: Mixed-effect model -- red-light violation -- Motorcyclist -- pillion passengers -- Ghana; Mathematical statistics -- Data processing -- Periodicals; 519.505
• DOI: 10.1080/23737484.2022.2074913
• Languages: English
• ISSNs: 2373-7484

Abstract

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.