Using Logistic Regression to Evaluate Pedestrian–Vehicle Interaction Severity at Side Street Green and Exclusive Phase Signals

Abstract

This study used logistic regression to determine whether there is a significant difference in pedestrian–vehicle interaction severity at side street green and exclusive phase pedestrian signals, and to evaluate whether waiting- and crossing times are useful predictors of pedestrian–vehicle conflict. To do this, data related to the physical characteristics of each intersection and to the crossing experience of every pedestrian were gathered at 32 signalized intersections in Connecticut. At each intersection, conflicts between pedestrians and vehicles were classified into four distinct severity levels: undisturbed passage, potential conflict, minor conflict, and serious conflict. After interpreting the results of six different logistic regression refinements, it was determined that waiting time, crossing time, the number of lanes, annual average daily traffic, pedestrian compliance, phasing, and the presence of crosswalks were all useful predictors. Based on the results of this analysis, low wait time and crossing time values were associated with a decrease in the odds of a conflict. It was also determined that exclusive phase signals reduced the odds of a conflict by 85%. Future research should investigate variables associated with different land development patterns and demographic information. Along with this, the crossing experience of individuals who do not comply with pedestrian signals should also be evaluated.