兰州大学机构库
Spatio-temporal characteristics of human activities using location big data in Qilian Mountain National Park
Che, Minglu1; Nian, Yanyun1,4; Chen, Siwen1; Zhang, Hao1; Pei, Tao2,3
2023-12-31
Source PublicationInternational Journal of Digital Earth   Impact Factor & Quartile
ISSN1753-8947 ; 1753-8955
Volume16Issue:1Pages:3794-3809
page numbers16
AbstractHuman activities significantly impact the environment. Understanding the patterns and distribution of these activities is crucial for ecological protection. With location-based technology advancement, big data such as location and trajectory data can be used to analyze human activities on finer temporal and spatial scales than traditional remote sensing data. In this study, Qilian Mountain National Park (QMNP) was chosen as the research area, and Tencent location data were used to construct time series data. Time series clustering and decomposition were performed, and the spatio-temporal distribution characteristics of human activities in the study area were analyzed in conjunction with GPS trajectory data and land use data. The study found two distinct human activity patterns, Pattern A and Pattern B, in QMNP. Compared to Pattern B, Pattern A had a higher volume of location data and clear nighttime peaks. By incorporating land use and trajectory data, we conclude that Pattern A and Pattern B represent the activity patterns of the resident and tourist populations, respectively. Moreover, the study identified seasonal variations in human activities, with human activity in summer being approximately two hours longer than in winter. We also conducted an analysis of human activities in different counties within the study area.
KeywordLocation data spatial and temporal analysis time series clustering tourism studies social geography
PublisherTAYLOR & FRANCIS LTD
DOI10.1080/17538947.2023.2259926
Indexed BySCIE
Language英语
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:001068404200001
Original Document TypeArticle
Citation statistics
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/568910
Collection兰州大学
Corresponding AuthorNian, Yanyun
Affiliation
1.Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou, Peoples R China;
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China;
3.Univ Chinese Acad Sci, Beijing, Peoples R China;
4.Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China
Recommended Citation
GB/T 7714
Che, Minglu,Nian, Yanyun,Chen, Siwen,et al. Spatio-temporal characteristics of human activities using location big data in Qilian Mountain National Park[J]. International Journal of Digital Earth,2023,16(1):3794-3809.
APA Che, Minglu,Nian, Yanyun,Chen, Siwen,Zhang, Hao,&Pei, Tao.(2023).Spatio-temporal characteristics of human activities using location big data in Qilian Mountain National Park.International Journal of Digital Earth,16(1),3794-3809.
MLA Che, Minglu,et al."Spatio-temporal characteristics of human activities using location big data in Qilian Mountain National Park".International Journal of Digital Earth 16.1(2023):3794-3809.
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