Development of Trip Generation Model Using Linear Regression for Areas in Hyderabad City

Abstract

Abstract Trip generation represent the measure of motive of travel and is an important parameter for predicting the future number of trips. In Indian scenario; trip generation tables that show relation between the trips originating from a specific land-use based on the number of units or on the floor area as in ITE manual is unavailable. The trips initiated from Veterinary colony, Shaikpet in Hyderabad and their contributing attributes are observed for the purpose of the study. Finding a trip generation model based on the observed parameters is the goal of this project. Characteristics that could contribute to trip generation, along with frequency of trip and other features of trips were taken as the data for generating a trip based model. Online survey through Google forms was adopted to gather the required data for trip generation model. The Google form was developed keeping in view of the parameters that would be required for the development of the model that includes distance, time of travel, mode and socio-economic background of the trip maker. For the trip generation model, linear regression analysis was chosen as the analytical method. In order to predict the trip generation pattern of individuals, the degree of correlation of the dependent variables on other independent variables, such as age, gender, income, travel time, travel cost, etc., was examined. Using R software’s statistical analysis tools, the obtained data were examined, and the best fitting answer was discovered based on the input variables. It was observed that the efficiency of the model can be escalated using further and intense data collection.