title: Event-Based Modeling of Driver Yielding Behavior to Pedestrians at Two-Lane Roundabout Approaches.
abstract: Unlike other types of controlled intersections, drivers do not always comply with the "yield to pedestrian" sign at the roundabouts. This paper aims to identify the contributing factors affecting the likelihood of driver yielding to pedestrians at two-lane roundabouts. It further models the likelihood of driver yielding based on these factors using logistic regression. The models have been applied to 1150 controlled pedestrian crossings at entry and exit legs of two-lane approaches of six roundabouts across the country. The logistic regression models developed support prior research that the likelihood of driver yielding at the entry leg of roundabouts is higher than at the exit. Drivers tend to yield to pedestrians carrying a white cane more often than to sighted pedestrians. Drivers traveling in the far lane, relative to pedestrian location, have a lower probability of yielding to a pedestrian. As the speed increases the probability of driver yielding decreases. At the exit leg of the roundabout, drivers turning right from the adjacent lane have a lower propensity of yielding than drivers coming from other directions. The findings of this paper further suggest that although there has been much debate on pedestrian right-of-way laws and distinction between pedestrian waiting positions (in the street versus at the curb), this factor does not have a significant impact on driver yielding rate. The logistic regression models also quantify the effect of each of these factors on propensity of driver yielding. The models include variables which are specific to each study location and explain the impact size of each study location on probability of yielding. The models generated in this research will be useful to transportation professionals and researchers interested in understanding the factors that impact driver yielding at modern roundabouts. The results of the research can be used to isolate factors that may increase yielding (such as lower roundabout approach speeds), and can feasibly be incorporated into microsimulation algorithms to model driver yielding at roundabouts.
authors.affiliation: Institute for Transportation Research and Education, N.C. State University NCSU Campus Box 8601, Raleigh, NC 27695-8601.
authors.forename: Katayoun
authors.initials: K
authors.lastname: Salamati
authors.affiliation: Institute for Transportation Research and Education, N.C. State University NCSU Campus Box 8601, Raleigh, NC 27695-8601.
authors.forename: Bastian J
authors.initials: BJ
authors.lastname: Schroeder
authors.affiliation: College of Education and Rehabilitation, Salus University, 8360 Old York Road, Elkins Park PA 19027.
authors.forename: Duane R
authors.initials: DR
authors.lastname: Geruschat
authors.affiliation: Institute for Transportation Research and Education, N.C. State University NCSU Campus Box 8601, Raleigh, NC 27695-8601.
authors.forename: Nagui M
authors.initials: NM
authors.lastname: Rouphail