Exploring factors associated with red-light running: a case study of Hanoi city

Red-light running (RLR) is the most significant factor involved in traffic crashes and injuries at signalized intersections. In Vietnam, little knowledge of factors affecting RLR has been found. This paper applied an ordered probit model to investigate associated with using questionnaire data collected Hanoi. Generally, this found that males motorcyclists have a higher likelihood than females car drivers. addition, younger lower-income road users ones who are businessmen commuting trip off-peak hours more likely run red light. By contrast, go school people understand law less violate future, it necessary collect different cities generalize results. may need apply powerful method such as latent class model, which can discover hidden facts among respondents. new other weather, waiting time, countdown signal will be considered their effects on RLR.