In developing countries, rapid urbanization and sprawling require authorities to assess the sustainability and development of the cities from different perspectives so that they can develop a solution for policy and decision-making. The research proposes gravitybased accessibility measures to figure out the influencing factors and for the categorization of cities` subdivisions from the perspectives of urban land use and transport road network. GIS and statistical software programs-based is used in the methodology. The research follows a quantitative approach for sustainable and balanced urban development. Basically, the methodology involves four steps: first, primary and secondary data collection, which are land use data, population data, road network data and shop data. Second, integrating required data into ArcGIS to obtain land use proportion, critical center point, shortest O-D distance, road network length, and intersection density. Third, analyzing accessibility within the study area using an existing gravity-based model for each kebele and for each significant land use type. Lastly, modeling accessibility by incorporating influencing factors into a gravity-based model. A multiple regression analysis was conducted to verify the statistical and theoretical significance of the proposed variables during modeling. The result revealed that when a kebele hosts diverse land-use (availability of almost all land use types), its accessibility becomes very high. Most kebeles around the periphery have lower accessibility performance, and unless special attention is given, their impact on the downtown becomes greater to fulfill their needs. An average accessibility score, which is the average of all available significant land-use types accessibility value within a kebele, can express a kebele`s performance when any significant land use type does not exist within a kebele in the study area. This can consider a user’s opportunity to access the neighborhood. A total accessibility score, which is the summation of all available significant land-use types accessibility value within a kebele, can show a kebele`s land use diversification, relative location from the center, and land use development. Key words: Average accessibility score, GIS, Gravity-based, Urban land-use, Multiple regression, Transport road network, Total accessibility score