Identifying Suitable Zones for Tourism Activities on the Qinghai-Tibet Plateau Based on Trajectory Data and Machine Learning
文献类型：期刊论文
| 作者 | Li, Ziqiang1,2; Xi, Jianchao2; Ye, Sui1,2 |
| 刊名 | LAND
 |
| 出版日期 | 2025-09-15 |
| 卷号 | 14期号:9页码:1885 |
| 关键词 | tourism activity suitability Qinghai-Tibet Plateau tourist trajectory machine learning geo-detector |
| DOI | 10.3390/land14091885 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The Qinghai-Tibet Plateau (QTP), a globally significant tourist destination and critical ecological barrier, faces an intrinsic conflict between development and conservation. The scientific identification of suitable tourism zones is therefore crucial for formulating sustainable development policies. Conventional suitability assessments, however, which typically rely on subjective, expert-based weighting and static, supply-side data, often fail to capture the complex, non-linear dynamics of actual tourist-environment interactions. To overcome these limitations, an innovative analytical framework is presented, integrating massive tourist trajectory big data (66.7 million GPS points) as an objective, demand-driven suitability proxy, a Geo-detector model to identify key drivers and their interactions, and a Random Forest algorithm for spatial prediction. The framework achieves high predictive accuracy (AUC = 0.827). The results reveal significant spatial heterogeneity: over 85% of the QTP is unsuitable for tourism, while suitable zones are intensely concentrated in southeastern river valleys, forming distinct agglomerations around core cities and along primary transport arteries. Analysis demonstrates that supporting conditions-particularly transport accessibility and service facility density-are the dominant drivers, their influence substantially surpassing that of natural resource endowment. Furthermore, the formation of high-suitability zones is not attributable to any single factor but rather to the synergistic coupling of multiple conditions. This research establishes a replicable, data-driven paradigm for tourism planning in environmentally sensitive regions, offering a robust scientific basis to guide the sustainable development of the QTP. |
| URL标识 | 查看原文 |
| WOS关键词 | UNDERSTAND ; TRACKING |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001581604700001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/217553]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Xi, Jianchao |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Li, Ziqiang,Xi, Jianchao,Ye, Sui. Identifying Suitable Zones for Tourism Activities on the Qinghai-Tibet Plateau Based on Trajectory Data and Machine Learning[J]. LAND,2025,14(9):1885. |
| APA | Li, Ziqiang,Xi, Jianchao,&Ye, Sui.(2025).Identifying Suitable Zones for Tourism Activities on the Qinghai-Tibet Plateau Based on Trajectory Data and Machine Learning.LAND,14(9),1885. |
| MLA | Li, Ziqiang,et al."Identifying Suitable Zones for Tourism Activities on the Qinghai-Tibet Plateau Based on Trajectory Data and Machine Learning".LAND 14.9(2025):1885. |
入库方式： OAI收割
来源：地理科学与资源研究所
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