Development of Nomogram for Travel Characteristics

Abstract

Trip length is the length of a trip measured in the distance or in time. In this paper, different parameters are taken and their influence on the trip length is studied for various cities in India. The overall goal of this study is to estimate the trip length by generating models. These generated models are used to develop ready-made nomograms. In this study, the development of models for trip length with relationship between variables such as dependent (trip length) and independent (socio-economic and land-use data) variables by using regression analysis. In this study, Microsoft Excel software is used for developing models. PyNomo software is for development of nomograms for quick estimate. Among all socio-economic and land-use data parameters average monthly household income, total population, total literates, commercial area (%), industrial area (%) and intermediate public transportation vehicles are correlated to trip length.