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

Yahya A. Nkrumah, Eric N. Aidoo*, Williams Ackaah

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)505-514
Number of pages10
JournalCommunications in Statistics: Case Studies, Data Analysis and Applications
Issue number3
Early online date13 May 2022
Publication statusPublished - 3 Jul 2022


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

ASJC Scopus subject areas

  • Analysis
  • Statistics and Probability
  • Applied Mathematics


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