Iterative zone-reclassification in trip generation, and cube-based distribution for Bangalore

Abstract

This study deals with the development of an approach to model trip-generation and distribution for the City of Bangalore using data compiled in 2002. Since the initial attempts at development of reliable trip-generation regressions using SPSS were un-successful, an iterative zone-reclassification approach was adopted in modelling the trip-productions and attractions. The reclassification of zones was performed based on the assumed influence of various groups of zones, the location of production and attraction centres and their nearness, and the improvement in the R-square value of regressions developed at each iteration. Finally, the 159 zones of the city were broadly categorized into twelve influence areas, and the trip-generation and distribution studies were performed using CUBE software. The predictions for the base year were verified with the actual data. Predictions for 2011 and 2021 were then performed. © 2012 CAFET-INNOVA TECHNICAL SOCIETY.