Spatio-temporal characteristics of human activities using location big data in Qilian Mountain National Park
文献类型：期刊论文
| 作者 | Che, Minglu1; Nian, Yanyun1,3; Chen, Siwen1; Zhang, Hao1; Pei, Tao2,4 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2023-12-31 |
| 卷号 | 16期号:1页码:3794-3809 |
| ISSN号 | 1753-8947 |
| 关键词 | Location data spatial and temporal analysis time series clustering tourism studies social geography |
| DOI | 10.1080/17538947.2023.2259926 |
| 通讯作者 | Nian, Yanyun(yynian@lzu.edu.cn) |
| 英文摘要 | Human 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. |
| WOS关键词 | SPATIAL-PATTERN ; POPULATION ; TOURISM ; IMPACTS ; VALUES ; CHINA |
| 资助项目 | The authors give their appreciation to Professor Min Feng for the valuable suggestions and guidance provided for this paper. |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:001068404200001 |
| 资助机构 | The authors give their appreciation to Professor Min Feng for the valuable suggestions and guidance provided for this paper. |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197971]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Nian, Yanyun |
| 作者单位 | 1.Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Minist Educ, Lanzhou, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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