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面向低空物流的无人机分级起降场点选址研究

薛清文 姜雨 冯胤霖 邵郁薇

华南理工大学学报(自然科学版)2026,Vol.54Issue(6):29-41,13.
华南理工大学学报(自然科学版)2026,Vol.54Issue(6):29-41,13.DOI:10.12141/j.issn.1000-565X.250446

面向低空物流的无人机分级起降场点选址研究

Research on the Location Selection of Hierarchical Vertiports for UAVs in Low-Altitude Logistics

薛清文 1姜雨 2冯胤霖 1邵郁薇3

作者信息

  • 1. 南京航空航天大学 通用航空与飞行学院,江苏 溧阳 213300
  • 2. 南京航空航天大学 民航学院,江苏 南京 211106
  • 3. 北京飞机维修工程有限公司杭州分公司,浙江 杭州 311200
  • 折叠

摘要

Abstract

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.

关键词

航空运输/无人机分级起降场点选址/条件Logit模型/最大覆盖选址模型/NSGA-Ⅲ算法

Key words

air transportation/UAV hierarchical takeoff and landing sites location/conditional logit model/maximum coverage location model/NSGA-Ⅲ algorithm

分类

交通工程

引用本文复制引用

薛清文,姜雨,冯胤霖,邵郁薇..面向低空物流的无人机分级起降场点选址研究[J].华南理工大学学报(自然科学版),2026,54(6):29-41,13.

基金项目

国家自然科学基金项目(52302517,52372298) (52302517,52372298)

江苏省自然科学基金项目(BK20230893)Supported by the National Natural Science Foundation of China(52302517,52372298)and the Natural Sci-ence Foundation of Jiangsu Province(BK20230893) (BK20230893)

华南理工大学学报(自然科学版)

1000-565X

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