Yonas Minalu (PhD)Zewdu Habte2024-05-022024-05-022023-11https://etd.aau.edu.et/handle/123456789/2913A city's quality of life is worsened by increasing usage of motorized transportation and accompanying infrastructure, which results in traffic congestion, environmental pollution, and traffic crashes. To improve mobility on those streets, reduce traffic congestion, improve public health, and make the city more environmentally friendly, non-motorized transport like cycles should have given more attention to the improvement of facilities and the number of cycle users. Engineers and planners in Ethiopia don't, however, have a common procedure for figuring out whether a road is suitable for allowing cycles to operate effectively. As a result, certain circumstances render the transportation system irreversibly unsustainable. In order to improve mobility, a lot of time and effort is put into developing a GIS-based cycle network-planning tool for comparison with the actual state of the planned cycling network. In the example of Addis Ababa city, this study focuses on using a new, highly dependable cycle network design and analysis for home-to-school activities. Utilizing ArcGIS Software which is spatially compatible for network planning activities, the study's methodology was combined with an analysis of the road network utilizing the best route, service area, and closest facility criteria for residents (incidents) and schools (facilities). The data for network development was primarily gathered through site investigation and accounting the ground truth from Google Earth Pro in collecting coordinates of selected Sample of Residence and school locations of the Study area in Addis Ababa city as well as converting to the local coordinate system to fit with the Road network of the Study Area. The study makes use of secondary data, such as the road network from the Addis Ababa City Government Plan and Development Commission (.Shp), as well as reports from various agencies. The closest facility analysis location with the shortest total travel time was RDLocation 7( Shola condominium) -SCL 27(New grand school) where the travel time was 0.309 minutes, and the location with the longest total travel time was RDLocation 4( signal condominium) -SCL27( New grand school), where the travel time was 1.696 minutes. Based on analysis, this study's best facilities network has a total length of 13028.36 m and a total minutes of 202.46. The network service area analysis extension tool used in this study also satisfies the case study area.Finally, the present study evaluates the results from the logical network analysis with the planned cycle network and also with the normal network condition of the road network.en-USArcGIS softwarebicycle network planningbest route analysisclosest facility analysis service area analysisnon-motorized transportThesis