The present study aims to investigate the impact of social information on pedestrians’ red-light violation compared to non-social information. The binary logistic regression model predicting signal violation behaviour highlighted that crossing speed, waiting time for safe crossing, and signal cycle length significantly influence the signal violation behaviour. According to the social information estimates, the more pedestrians waiting at the intersection, the more it reduces the likelihood of an oncoming pedestrian’s signal violation. Interestingly, an oncoming pedestrian is more likely to cross in the red light signal when neighbours were doing the same. These results provide insightful information for planners and policymakers. Practical implications such as adjusting the red-light duration and information dissemination on the “positive value of social control” through community campaigns could eventually encourage people to obey traffic light rules.

本研究旨在调查与非社会信息相比，社会信息对行人闯红灯的影响。预测信号违规行为的二元逻辑回归模型强调，穿越速度、安全穿越的等待时间和信号周期长度显着影响信号违规行为。根据社会信息估计，在路口等待的行人越多，越能降低迎面而来的行人违反信号灯的可能性。有趣的是，当邻居这样做时，迎面而来的行人更有可能闯红灯。这些结果为规划者和决策者提供了有见地的信息。