Using logistic regression and point-biserial correlation, an investigation of pedestrian violations and their opportunities to cross at signalized intersections. (October 2022)

• Record Type: Journal Article
• Authors: Hashemi, Hanieh; Bargegol, Iraj; Hamedi, Gholam Hossein
• Is Part Of: IATSS research. Volume 46:Number 3(2022)
• Page Start: 388
• Page End: 397
• Publication Date: 2022-10
• Subjects: Pedestrian characteristics -- Signalized intersections -- Signal violation -- Geometrical design -- Weather condition; Traffic safety -- Periodicals; Transportation and state -- Periodicals; Verkeersveiligheid; Internationale organisaties; Traffic safety; Transportation and state; Periodicals; 363.1256
• DOI: 10.1016/j.iatssr.2022.05.002
• Languages: English
• ISSNs: 0386-1112

Abstract

Abstract: Intersection's safety and efficiency are affected by pedestrian offences. As a result, it's critical to recognize and prioritize the factors that influence pedestrian violations. Three intersections with commercial, medical, and educational land-uses, as well as a large volume and variety of pedestrians, were chosen for this paper. The main goal is to determine priorities among the factors under consideration in order to make a more cost-effective suggestion in the executive field, and second, to determine how much the ability to cross at the time of pedestrian arrival influences his/her decision, along with the other influential factors. Videotaping was used to collect factors such as pedestrian characteristics, traffic signals, intersection geometry, various peak hours of working days, and weather conditions. Data collecting is quantitative, primary, and descriptive. Statistical analysis methods are used to test relationships between variables. The decision-making process of pedestrians is modelled using logistic regression. The findings reveal that the time of arrival, median type, and time of day have a significant effect on pedestrians' likelihood of violation. It can also be seen that pedestrians' opportunities to cross (smaller gaps between vehicles) are associated with higher compliance probabilities. An effective median design could have a significant impact on pedestrians' willingness to wait for a safe crossing during the red phase based on field observations. Highlights: Time of arrival, median type, time of day, age, and gender seem to be predictors of pedestrians' violation. The total percent of immediate violations for all pedestrians was 54.42%. Pedestrians' opportunities to cross during the red phase have a significant impact on their decision-making process. Pedestrians' violation rate fell 14.1% in the narrow median and 24.8% in the wide one compared to an undivided lane. Pedestrians crossing an educational land-use have a strong propensity to obey the signal.