Abstract
The objective of this study is to identify the factors affecting pedestrian level-of-service (LOS) at intersections and propose a method for the estimation of pedestrian LOS at intersections. In order to fulfill this objective, a stepwise multi-variable regression analysis was performed using the observed data of various types of intersections in the city of Sapporo, Japan. A significant number of pedestrians were requested to give ratings for each intersection based on their experiences at the actual sites. The scores given by the pedestrians were considered as the dependent variables for the analysis. A field survey was conducted to collect geometric, operational and traffic characteristics of crosswalks. A number of primary independent variables influencing pedestrian LOS was identified and tested in the stepwise regression analysis. The factors such as space at corner, crossing facilities, turning vehicles, delay at signals, and pedestrian-bicycle interaction were identified as the primary factors affecting pedestrian LOS at intersections. Each of the factors is weighted by coefficients derived by stepwise regression modeling importance. A statistically reliable t-statistics were obtained for each factor. The pedestrian LOS model was developed as a function of identified variables.
