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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
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