Space Syntax analysis is a tool for analyzing the road system of the city and broadly used for rnmodeling vehicular and pedestrian movements, to control traffic pollution and on the rnprocesses of route selection. The existing road system of Addis Ababa face different urban rnproblems and itâ€™s difficult to have standardized streets so, this study explores how to identify rnimportant urban roads that have potential to be converted into the street using space syntax rnanalysis tool based on greater consideration of the needs of people, rather than vehicles rnsince street differs from roads. The study uses Addis Ababaâ€™s current and proposed road rnnetwork for the production of axial line and analysis integration and mean depth at the sub city level to identify major important roads of Addis Ababa and highly segregated roads, rnrespectively. Integrated streets in a system are assumed to be accessible from all other streets rnand the value range (0-1) lowest value (0.1 -0.5), mid-value (0.5-0.9), and the highest value rn(0.9 -1.0). The depth is the smallest number of syntactic steps to reach one space from rnanother so, the deepest street means a highly segregated street. According to this assumption rncore area of the city which has a highly integrated value (>0.9) covers only 4% of Addis rnAbaba city, and it laid some parts of Kirkos, Lideta, Arada, and Adiss Ketema sub-cities. rnAlso, 28% covered in integration (0.5-0.9), while the peripheral areas (intermediate and the rnsuburbs) are not integrated. The most segregated area of the city is found around the rnriversides of the city and it needs urgent intervention. Kirkos sub-city has both highly rnintegrated roads and highly segregated areas.