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Influence of socio-economic and land use factors on households travel behavior are important to develop a travel demand forecasting model. This paper examines the relative importance of these factors on household daily trips generation rate and household kilometers travelled. Linear regression models have been developed in this regard. Data used to develop these models have been collected from household’s survey among different zones of Sylhet City Corporation (SCC) area and other secondary sources. From the model output, it has been found that land use parameters (accessibility and entropy) have significant contribution on trip production, trip attraction and household kilometers travelled along with the socio-economic characteristics of the people living in SCC area. The model framework developed in this paper can help to formulate comprehensive transport and land use policy for the different cities of Bangladesh as well as for other developing countries, particularly those in Asia, which share similar socio-economic characteristics.
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