Efficient urban planning is crucial for creating liveable and sustainable cities. This involves designing urban areas that maximize economic, social, and environmental viability while minimizing negative impacts. Land use and transport development play a significant role in shaping transport patterns and infrastructure needs. However, applying Land Use and Transport Integrated (LUTI) models in developing countries can be challenging due to limited resources and data availability. This dissertation aims to explore freely, or low-cost high-frequency (HF) data related to land use and transport and develop an integrated model using available data in Sri Lanka as an example for developing countries. The complexity of the urbanisation process, particularly in developing countries, demands sophisticated decision support tools such as the Land Use and Transport Integrated (LUTI) models to assist in the balanced and sustainable development of transport and land use. However, the high cost and t
The rapid urbanisation in cities, and its associated complexities demand that sophisticated decision support tools such as the LUTI 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. On the other hand, 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 it subsequent application in real context. On the basis of this, the paper focuses on (1) summarizing existing LUTI models and their corresponding data requirements; (2) explaining the sources of HF data in LUTI modelling; and (3) discussing the