Research on Urban Building Rooftop Resource Potential Assessment System for Drone Logistics

To address the lack of calculable, gradable, and verifiable criteria for evaluating whether urban rooftops can support drone logistics take-off/landing and sustained operation, this study develops a rooftop resource potential assessment framework integrating hard-constraint screening, Three-dimensional Visibility Graph Analysis (3D-VGA), and the Analytic Hierarchy Process (AHP). A district in a southern city is used for validation. Compliance exclusion zones, minimum effective area, clearance obstacles, and roof load-bearing capacity are treated as non-compensatory thresholds, while spatial, structural, and environmental indicators are standardized for comprehensive evaluation. Rooftops passing the pre-screening are converted into nodes in a 3D-VGA network, where connectivity and integration describe the static maximum connectivity potential constrained by three-dimensional geometry rather than operational route feasibility. The results show that high-potential rooftops are mainly located on large, regular commercial and industrial-park buildings with favorable clearance conditions. Effective area, roof load-bearing capacity, and clearance obstacles together contribute 47.8% of the composite weight. Coupling comprehensive potential with normalized integration identifies hub, channel, island, and restricted nodes, supporting preliminary screening, on-site verification, and tiered governance of rooftop logistics facilities.