Travel Parameter Modelling for Indian Cities- Regression Approach

Abstract

World is growing in terms of number of cities and the size of cities. Every city has its own travel demand with its own socio & travel characteristics like population, income, trip rate, trip length, walk (%), public transport (%). There is a great need for study of these parameters. This paper started with a presumption that various travel parameters have relation with socio and other travel parameters. About 30 Indian cities data were taken for the analysis. This data is taken from secondary source. This study reveals that there exist a moderate to good relation between various variables. Regression analysis was carried out between various variables. It is observed that there exist a good relation between Trip Rates (All Modes)/Trip Rate (Motorised) with population, Area, Trip Length, Public Transport (%), City Buses (Govt+Pvt.). Regression equations were formed between these variables individually and collectively. Best out of various combinations were presented in this paper.