As an efficient micro-distribution technology in urban space, UAV has been widely used in geographic mapping, airspace logistics, intelligent management and other fields, and has made an important contribution to improving the quality of urban life. As an important part of low altitude economy, low altitude delivery is becoming a solution to the freight pressure in the future cities based on UAV technology. Low altitude delivery is carried out through drones, bypassing ground traffic congestion and significantly reducing delivery time. Especially in high-density and complex areas, low altitude distribution is achieved through the flight of drones in the low altitude airspace, breaking through the limitations of ground transportation and providing high-density areas with more vertical distribution services. The drone life circle brought about by the low altitude economy is gradually changing the urban form, such as setting up drone take-off and landing points based on existing public spaces, promoting the functional regeneration of existing public spaces. The setting of unmanned aerial vehicle takeoff and landing platforms and flight paths will also have an impact on the form and height of urban buildings. It is of great significance to study its three-dimensional path to improve distribution efficiency and optimize application scenarios. Present research focuses on UAV facility network and path planning algorithm, and the research on UAV distribution path and service area analysis in complex urban areas is rare.Network Analysis, as a spatial analysis tool, is widely used in the fields of urban planning and logistics distribution. Drone delivery requires path planning and network construction in three-dimensional space, which poses a new challenge to the architecture change of network analysis method from two-dimensional to three-dimensional. From the perspective of urban spatial analysis, it is necessary to pay attention to the dynamic changes brought by low altitude delivery to the urban spatial structure and urban living circle. As a typical representative of complex environments, urban villages have long faced problems such as complex ground transportation and tight public resources, and the urgent need to solve the problem of material distribution. In the context of the rise of drone delivery, the reasonable delineation of drone service zones, scientific selection of drone take-off and landing points, and effective planning of drone flight routes can provide feasible paths for filling urban space and improving the quality of public services in urban villages. In this study, taking the community scale that adapts to the distribution range of drones as an example, the 3D network analysis method, UAV tilt photography, real-life modeling, and network analysis model based on ArcGIS Pro platform were used to explore the 3D network analysis of UAV and the partition technology of UAV delivery service in low-altitude economy. Firstly, the 3D model was constructed by the tilt photography technology of UAV, and the urban morphological elements such as building distribution and ground environment were identified. This method moreclearly identified complex terrain and three-dimensional spatial elements that are difficult to recognize in traditional planar remote sensing images, providing a modeling platform for drone path planning in real environments and effectively addressing path planning problems in complex urban environments. Secondly, based on the analysis of urban form factors, the avoidance route of UAV was generated, and the shortest and optimal three-dimensional routes of UAV distribution were analyzed. This study comprehensively considered the spatial and social issues in complex areas, and conducted empirical research on the correspondence and avoidance relationship between drone delivery and specific spatial elements. It also considered spatial elements such as land use, building density, building form, and facility sites. Finally, through the service area analysis, based on the social and economic attributes of the community, the reasonable flight distance and time of the UAV were determined. By sorting out the distribution problem using unmanned aerial vehicles as carriers, the collaborative research between low altitude logistics at the community level and urban environment has been improved. Based on the 3D network analysis method, this study provides technical support for UAV flight path and service partition, improves the space-time effectiveness of low-altitude economic services, and provides references for UAV path planning and scientific and effective development of low-altitude economy.