Multi-time scale analysis of human activity patterns on the Qinghai–Tibet Plateau using location request data
In recent years, intensified human activities on the Qinghai – Tibet Plateau have threatened its ecological environment. Traditional methods struggle to capture the dynamic diversity of activity types. In this study, we constructed daily and annual human activity time series on the Qinghai–Tibet Pla...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-08-01
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| Series: | International Journal of Digital Earth |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2025.2543570 |
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| author | Minglu Che Yanyun Nian Chengyao Wang Wenhui Zhang Jie Chen Bingzhi Liao Tao Pei |
| author_facet | Minglu Che Yanyun Nian Chengyao Wang Wenhui Zhang Jie Chen Bingzhi Liao Tao Pei |
| author_sort | Minglu Che |
| collection | DOAJ |
| description | In recent years, intensified human activities on the Qinghai – Tibet Plateau have threatened its ecological environment. Traditional methods struggle to capture the dynamic diversity of activity types. In this study, we constructed daily and annual human activity time series on the Qinghai–Tibet Plateau via Tencent location request (TLR) data. By applying clustering algorithms, we classified daily patterns into three main types. Daily pattern areas show a pronounced nighttime peak – reflecting agricultural and residential activities – while mobility pattern areas peak only by day and remain flat at night, indicating tourism and frequent movement. Regions below 2800 m combine daily and tourism patterns, whereas areas above 3500 m are dominated by the dispersed residential pattern, characterized by scattered grazing. Annual patterns is classified into urban pattern and rural pattern. Both show similar request volumes, but the urban pattern has a higher proportion of built-up land, and Lunar New Year population migration produces marked variations in request counts. This study distinguishes key human-activity patterns and provides novel methods and insights for understanding activity regularities on the Qinghai – Tibet Plateau. |
| format | Article |
| id | doaj-art-e9bca7bb0a8a4f0e8688a6ce54cf274a |
| institution | Kabale University |
| issn | 1753-8947 1753-8955 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj-art-e9bca7bb0a8a4f0e8688a6ce54cf274a2025-08-25T11:24:41ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552025-08-0118110.1080/17538947.2025.2543570Multi-time scale analysis of human activity patterns on the Qinghai–Tibet Plateau using location request dataMinglu Che0Yanyun Nian1Chengyao Wang2Wenhui Zhang3Jie Chen4Bingzhi Liao5Tao Pei6Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of ChinaKey Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of ChinaKey Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of ChinaKey Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of ChinaKey Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of ChinaKey Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, People’s Republic of ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaIn recent years, intensified human activities on the Qinghai – Tibet Plateau have threatened its ecological environment. Traditional methods struggle to capture the dynamic diversity of activity types. In this study, we constructed daily and annual human activity time series on the Qinghai–Tibet Plateau via Tencent location request (TLR) data. By applying clustering algorithms, we classified daily patterns into three main types. Daily pattern areas show a pronounced nighttime peak – reflecting agricultural and residential activities – while mobility pattern areas peak only by day and remain flat at night, indicating tourism and frequent movement. Regions below 2800 m combine daily and tourism patterns, whereas areas above 3500 m are dominated by the dispersed residential pattern, characterized by scattered grazing. Annual patterns is classified into urban pattern and rural pattern. Both show similar request volumes, but the urban pattern has a higher proportion of built-up land, and Lunar New Year population migration produces marked variations in request counts. This study distinguishes key human-activity patterns and provides novel methods and insights for understanding activity regularities on the Qinghai – Tibet Plateau.https://www.tandfonline.com/doi/10.1080/17538947.2025.2543570Location big dataspatial and temporal analysishuman activity patternstime series clusteringQinghai–Tibet plateau |
| spellingShingle | Minglu Che Yanyun Nian Chengyao Wang Wenhui Zhang Jie Chen Bingzhi Liao Tao Pei Multi-time scale analysis of human activity patterns on the Qinghai–Tibet Plateau using location request data International Journal of Digital Earth Location big data spatial and temporal analysis human activity patterns time series clustering Qinghai–Tibet plateau |
| title | Multi-time scale analysis of human activity patterns on the Qinghai–Tibet Plateau using location request data |
| title_full | Multi-time scale analysis of human activity patterns on the Qinghai–Tibet Plateau using location request data |
| title_fullStr | Multi-time scale analysis of human activity patterns on the Qinghai–Tibet Plateau using location request data |
| title_full_unstemmed | Multi-time scale analysis of human activity patterns on the Qinghai–Tibet Plateau using location request data |
| title_short | Multi-time scale analysis of human activity patterns on the Qinghai–Tibet Plateau using location request data |
| title_sort | multi time scale analysis of human activity patterns on the qinghai tibet plateau using location request data |
| topic | Location big data spatial and temporal analysis human activity patterns time series clustering Qinghai–Tibet plateau |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2025.2543570 |
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