The basic objective of this study was to identify relevant variables that are significant to the pedestrian effect on vehicle flow at at-grade intersections. The data on these variables were collected and analyzed to determine if a statistical relationship existed between these selected variables and the vehicle seconds of delay being caused by pedestrian-vehicle function as a result of both vehicular and pedestrian movements at the study intersections.

The multiple regression analysis of the data for this study produced three regression models which should give accurate estimates of the vehicle seconds of delay. The first model included the data for all six study intersections, three with all one-way streets intersecting and three with one one-way streets and one two-way street connecting. The second model was applied to three intersections with one-way streets intersecting. The third model was derived from the data on three intersections with two one-way street legs and two two-way street legs. These models all have high multiple correlation coefficients, 0.93 or above, and passed F tests at 0.10 level of significance. Therefore, a definite statistical relationship was found to explain the pedestrian effects on vehicle delay at typical urban intersections. It is hoped that this study will stimulate further research and development in the field of pedestrian effect on vehicle flow at at-grade intersections.