面向低空物流的无人机分级起降场点选址研究OA

To improve the efficiency of urban last-mile logistics distribution and promote the development of the low-altitude economy,this study proposes a site location method for hierarchical UAV takeoff and landing sites tai-lored to urban low-altitude logistics demands.First,a conditional Logit model was utilized to identify key influen-cing factors and evaluate urban low-altitude logistics demand.Second,the polygon intersection point set method for multi-level facilities was applied to determine the candidateset of UAV takeoff and landing sites.Finally,a multi-objective maximal coverage location model for hierarchical UAV takeoff and landing sites was established,with opti-mization objectives of maximizing demand coverage and minimizing construction costs and the rate of redundant de-mand coverage.An improved NSGA-Ⅲ algorithm was designed to solve the model.The results show that the per-formance of facilities is optimal when the number of vertiport sites and points respectively reach 53 and 107 in Shanghai,with a demand coverage rate of 85.6%,construction costs amounting to 9.59 million CNY,and a redun-dant demand coverage rate of 33.7%.The location scheme demonstrates high rationality and feasibility.In addi-tion,the study reveals that economic development level and transportation accessibility significantly influence the spatial distribution of UAV takeoff and landing sites.Setting sites in areas with high GDP and abundant transporta-tion facilities can further enhance demand coverage,although it may lead to increased construction costs and ser-vice range redundancy.The research can provide scientific decision-making support for the planning and imple-mentation of urban low-altitude logistics systems.