Pedestrian compliance and cross walking speed adaptation due to countdown timer installations: A self report study

- Research Hypothesis: Investigate the influence of countdown timers on pedestrians' crossing behavior.
- Undertaken Research: Face-to-face questionnaire survey was conducted and statistical tools were applied.
- Research Tools: A binary logistic regression model and an ordinal regression model was developed.
- Main Findings: Important parameters found: gender, the age, the perceived comfort level etc.

Although they are aware of the possible risk, a high number of pedestrians still violate the red light indication and cross the road illegally. This hazardous behaviour may cause incidents between them and the road vehicles. In order to reduce this illegal behaviour, the traffic signals are equipped with countdown timers, in order to provide more information and decrease pedestrians' noncompliant behaviour. The main purpose of the present paper is to investigate the influence of countdown timers on pedestrians' compliance regarding their crossing behaviour at intersections as well as to examine the parameters affecting walking speed adaptation. In the context of this analysis two regression models were developed. The first model is a binary logistic regression model which examines pedestrians' self reported compliance. The results showed that the gender, the age, the perceived comfort and the seconds remaining for the onset of red light are the main parameters that affect compliance. The second model is an ordinal regression model which examines the factors that make pedestrians adapt their walking speed as they are crossing the road and are informed by the countdown timers about the second remaining for the termination of the green phase. The results of the second model revealed that the age, the compliance and the perceived assistance that the countdown timer provides for the walking speed adaptation affect the minimum remaining time before a pedestrian accelerates.