Exploring the Spatial Heterogeneity and Driving Factors of UAV Logistics Network: Case Study of Hangzhou, China
文献类型:期刊论文
作者 | He, Hongbo1,2,3; Ye, Huping1,2,4; Xu, Chenchen1,2,4; Liao, Xiaohan1,2,3,4 |
刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
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出版日期 | 2022-08-01 |
卷号 | 11期号:8页码:17 |
关键词 | unmanned aerial vehicle logistics kernel density estimation Geodetector Hangzhou |
DOI | 10.3390/ijgi11080419 |
通讯作者 | Liao, Xiaohan(liaoxh@igsnrr.ac.cn) |
英文摘要 | Urban logistics is an important research topic in human and economic geography; unmanned aerial vehicles (UAVs) are an emerging technology that has huge potential in the field of logistics with the release of control restrictions on low-altitude airspace. The scientific identification of the spatial pattern and impact factors of UAV logistics networks is greatly significant in regards to UAV logistics planning and scheduling. This study considered the urban logistics network of Hangzhou in 2020 as the research topic and used kernel density estimation, a geodetector, and geographic information system (GIS) spatial analysis technology to systematically analyze the spatial patterns and influencing factors at the city and district scales. The study found that a significant spatial pattern was revealed in the UAV logistics network in Hangzhou, and the logistics nodes showed an obvious "core-edge" structure. The urban population, market scale and logistics infrastructure jointly shaped the structure and function of the UAV logistics network, and logistics nodes had a strong coupling relationship with the urban spatial structure. Through interaction detectors, the technical route of urban UAV logistics network construction was analyzed and summarized, and results can provide a scientific basis and case reference for other cities to build and plan UAV logistics networks. |
WOS关键词 | UNMANNED AERIAL VEHICLES ; URBAN LOGISTICS ; FACILITIES ; LOCATION ; RISK |
资助项目 | National Natural Science Foundation of China[41971359] ; National Key Research and Development Program of China[2019YFE0126500] ; National Science and Technology Major Project of China's High Resolution Earth Observation System[21-Y20B01-9001-19/22] |
WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000845857800001 |
出版者 | MDPI |
资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China ; National Science and Technology Major Project of China's High Resolution Earth Observation System |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/182040] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Liao, Xiaohan |
作者单位 | 1.Civil Aviat Adm China, Key Lab Low Altitude Geog Informat & Air Route, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Res Ctr UAV Applicat & Regulat, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | He, Hongbo,Ye, Huping,Xu, Chenchen,et al. Exploring the Spatial Heterogeneity and Driving Factors of UAV Logistics Network: Case Study of Hangzhou, China[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2022,11(8):17. |
APA | He, Hongbo,Ye, Huping,Xu, Chenchen,&Liao, Xiaohan.(2022).Exploring the Spatial Heterogeneity and Driving Factors of UAV Logistics Network: Case Study of Hangzhou, China.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,11(8),17. |
MLA | He, Hongbo,et al."Exploring the Spatial Heterogeneity and Driving Factors of UAV Logistics Network: Case Study of Hangzhou, China".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 11.8(2022):17. |
入库方式: OAI收割
来源:地理科学与资源研究所
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