Regression Modelling on Impact of Urbanization on Right of Way Capacity

Abstract

The present study tries to understand the urbanization in terms of population density. The effect of population on right of way capacity is determined through a model developed using Multiple Linear Regression (MLR) analysis. The width of the right of way and population density are considered as independent variables in the model. The traffic volume at different mid-blocks and signalized intersections is considered as dependent variable. The MLR model is developed to predict the variation of traffic volume with respect to the population density and right of way width. The regression statistics such as p-values and t-stat values indicate that the independent variables have a significant impact on the dependent variable. The results of the model are used to predict the change in traffic volume when there is considerable change in ROW width and population density.