为了提高城市末端物流配送效率，推动低空经济发展，提出面向城市低空物流需求的分级无人机起降场点选址方法。首先，利用条件Logit模型识别关键因素，评估城市低空物流需求。其次，应用多级设施多边形交叉点集法确定了无人机起降场点候选点。最后，以最大化需求覆盖率、最小化建设成本和需求重复覆盖率建立多目标分级无人机起降场点最大覆盖选址模型，并设计改进的NSGA-Ⅲ算法进行求解。结果表明，当上海市建设53个无人机起降场、107个无人机起降点时，设施性能达到最优，低空物流需求覆盖率为85.6%，建设成本约为959.0万元，需求重复覆盖率为33.7%，选址方案展现出较高的合理性和可行性。此外，研究还发现经济发展水平和交通可达性显著影响无人机起降场点的空间分布。在GDP较高及交通设施丰富的地区设置起降点可以进一步提升需求覆盖率，但同时伴随建设成本的增加和服务范围的冗余。该研究成果为城市低空物流系统的规划与实施提供了科学决策支持。

To improve the delivery efficiency of urban last-mile logistics and promote the development of the low-altitude economy, a hierarchical drone vertiport location method is proposed to address urban low-altitude logistics demand. First, a conditional Logit model is utilized to identify key factors and estimate urban low-altitude logistics demand. Second, a hierarchical facility polygon intersection point set method is applied to determine candidate vertiport locations for drones. Finally, a multi-objective hierarchical vertiport maximum coverage location model is established, aimed at maximizing demand coverage, minimizing construction costs, and reducing demand redundancy. An improved NSGA-III algorithm is designed to solve the model. The results show that the performance 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 demand overlap rate of 33.7%. The location scheme demonstrates a high degree of rationality and feasibility. In addition, the study found that economic development levels and traffic accessibility significantly influence the spatial distribution and performance of vertiports. Setting vertiports in areas with high GDP and abundant transportation facilities can further enhance demand coverage, although it may lead to increased construction costs and redundancy in service areas. The research findings provide scientific decision-making support for the planning and implementation of urban low-altitude logistics systems.