Development of a regional land use planning model for Sri Lanka integrated to transport, the environment and the economy (LITTE) [abstract]

Abstract

a) The rapid urbanisation in cities, and its associated complexities demand that sophisticated Land Use and Transport Integrated models be employed to assist the balanced and sustainable development of transport and land use. It is evident from literature studies that the majority of LUTI models need extensive data, making them expensive and time-consuming, which will be a challenge for developing countries. b) With the advent of information and communication technology, the availability of high frequency (HF) data is increasing which can be collected at disaggregated level data frequently at little or no cost. The main focus of this research is trying to bridge the gap that exists between research with this type of data and its subsequent application in real context. c) The research focuses on the calibration of urban travel demand models using (a) travel patterns for mobile network big data, (b) socio-economic profiles from electricity consumption data and (c) urban settlement profiles from satellite data. These have been used as inputs to commercially available transport demand models such as CUBE and other LUTI models for regional transport demand estimation in developing countries. d) These research findings have been published in several papers listed below and form the content of two PhD thesis, one of which has reached examination stage.