This research modeled the transport system to estimate the land use transport interaction to ultimately determine the level of infrastructure that is required to support the economic activity in the study area. To investigate the assessment of road transport network and urban land use interaction, the research employed GIS techniques and Remote Sensing for the cross-sectional efficiency of the system. The objectives of this study have to provide information on urban land use patterns, assess potential travel demand, and identify which network-based indicators can be used to identify inadequate infrastructure. Types of data i.e. data obtained through methods such as socio-economic data, land use map, current road network, and satellites data. The result of this project indicated that road density, higher trip production, and attraction are exhibited in the central areas (characterized by high population and important socioeconomic activities of the Town including jobs, service centers, and schools). Residential proximity to the roads within the central areas is 500m, allowing more people to access these roads. However, in the periphery, people have to travel more than 1km to access the existing road infrastructure, indicating the inadequacy of the system. For this study using the supervised classification method, Maximum likely hood algorithm, the overall accuracy of classified Burayu Town land use for 1990, 2000, 2010, and 2021 is 89.33%, 91.66%, 93%, and 97.33 respectively and it is acceptable. Burayu Town land-use land-cover classes changes from (1990-2021) are: Settlement area is increased by 4668.68ha (51.61%), the road is increased by 406.52ha (4.26%), forestland is decreased by 1668.48ha (18.47%), agriculture land is decreased by 904.93ha (9.72%), shrub land is decreased by 2501.71ha (27.68%), and water body is neither increased nor decreased.