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Data-Driven Insights into Population Exposure Risks: Towards Sustainable and Safe Urban Airspace Utilization by Unmanned Aerial Systems

文献类型：期刊论文

作者He, Hongbo1,2,3; Liao, Xiaohan1,2,3,4; Ye, Huping1,2,3,4; Xu, Chenchen1,3,4; Yue, Huanyin1,2,3,4
刊名SUSTAINABILITY
出版日期2023-08-01
卷号15期号:16页码:20
关键词unmanned aerial vehicle risk assessment risk map population exposure risk airspace management
DOI10.3390/su151612247
通讯作者Ye, Huping(yehp@igsnrr.ac.cn)
英文摘要With the rapid increase in unmanned aerial vehicles (UAVs), ensuring the safety of airspace operations and promoting sustainable development of airspace systems have become paramount concerns. However, research dedicated to investigating the population exposure risks of UAV operations in urban areas and their spatial pattern is still missing. To address this gap, this study evenly divides the urban space into uniform grids and calculates critical areas for two UAV types within each grid. By integrating geospatial data, including buildings, land use, and population, data-driven risk maps are constructed to assess the spatial distribution patterns and potential population exposure risks of two UAV types and compare them with commonly used census units. The results indicate that the mean time between failures (MTBF) for the selected generic and rotary-type UAVs can be up to 9.04 x 10(8) h and 1.22 x 10(8) h, respectively, at acceptable risk levels, considering uncertainties. The spatial pattern of population exposure risk exhibits spatial heterogeneity and multi-scale effects in urban areas, aligning with population distribution. High-risk areas concentrate in regions characterized by high population mobility, such as transport hubs, commercial service areas, residential zones, and business districts. Additionally, the comparation emphasizes the potential bias introduced by using census units in risk assessment, especially in regions with significant urban build-up. This framework enables the evaluation of safety and acceptability across diverse urban land use areas and offers guidance for airspace management in megacities, ensuring the safe integration of UAVs in urban environments.
WOS关键词TECHNOLOGIES
资助项目National Key Ramp;D Program of China[2022YFC3800700] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28050200] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040104] ; National Natural Science Foundation of China[41971359]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
出版者MDPI
WOS记录号WOS:001061392800001
资助机构National Key Ramp;D Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/196935]  
专题中国科学院地理科学与资源研究所
通讯作者Ye, Huping
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Civil Aviat Adm China, Key Lab Low Altitude Geog Informat & Air Route, Beijing 100101, 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,Liao, Xiaohan,Ye, Huping,et al. Data-Driven Insights into Population Exposure Risks: Towards Sustainable and Safe Urban Airspace Utilization by Unmanned Aerial Systems[J]. SUSTAINABILITY,2023,15(16):20.
APA He, Hongbo,Liao, Xiaohan,Ye, Huping,Xu, Chenchen,&Yue, Huanyin.(2023).Data-Driven Insights into Population Exposure Risks: Towards Sustainable and Safe Urban Airspace Utilization by Unmanned Aerial Systems.SUSTAINABILITY,15(16),20.
MLA He, Hongbo,et al."Data-Driven Insights into Population Exposure Risks: Towards Sustainable and Safe Urban Airspace Utilization by Unmanned Aerial Systems".SUSTAINABILITY 15.16(2023):20.

入库方式： OAI收割

来源：地理科学与资源研究所

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