Travel patterns and spatial structure: understanding winter tourism by trajectory data mining
文献类型：期刊论文
| 作者 | Liu, Jun3; Chen, Jiaqi3; Law, Rob2; Wang, Shenghong1,3; Yang, Luyu3 |
| 刊名 | ASIA PACIFIC JOURNAL OF TOURISM RESEARCH
 |
| 出版日期 | 2024-09-05 |
| 卷号 | N/A页码:18 |
| 关键词 | Spatiotemporal behavior tourism pattern trajectory mining tourism spatial structure winter tourism DBSCAN |
| ISSN号 | 1094-1665 |
| DOI | 10.1080/10941665.2024.2398696 |
| 产权排序 | 3 |
| 英文摘要 | Mining tourists' spatiotemporal patterns are fundamental for comprehending and applying spatial structure theories in tourism research. This study mines 27,981 tourist-generated trajectories in Beijing winter tourism to reveal the spatiotemporal patterns and spatial structures using a framework combining similarity measures and improved density-based spatial clustering of applications with noise algorithm. The findings indicate that Beijing winter tourism has established a spatial structure consisting of "three poles-two axes-two secondary poles." A total of 50 popular routes and 12 patterns of winter tourism can be categorized into three main types and six subcategories: winter tourism leading (skiing oriented, skating oriented), winter tourism with sightseeing (urban snow scene sightseeing, mountain snow scene sightseeing), and winter tourism with leisure (skiing + hot spring therapy, skating + city walking). The findings demonstrate that identifying spatial structures through tourism pattern mining is scientific and feasible. This study examines the movement patterns of tourists to reveal tourism spatial structure and incorporates spatial geography theory to assure the accuracy and scientific validity of the identification process, which enables a comprehensive knowledge of the spatial structure of Beijing's winter tourism industry and broadens the application scenario of spatial geography theory in the era of big data. |
| WOS关键词 | BIG DATA ; GPS ; MOBILITY ; TRACKING ; PERSPECTIVE ; BEHAVIOR ; NETWORK |
| 资助项目 | Research Fund of Sichuan University[SKSYL2022-04] ; Teaching Reform Project of Sichuan Province[JG2021-391] ; Teaching Reform Project of Sichuan University[SCU8115] ; Regional History and Frontier Studies of Sichuan University |
| WOS研究方向 | Social Sciences - Other Topics |
| 语种 | 英语 |
| WOS记录号 | WOS:001309985900001 |
| 出版者 | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD |
| 资助机构 | Research Fund of Sichuan University ; Teaching Reform Project of Sichuan Province ; Teaching Reform Project of Sichuan University ; Regional History and Frontier Studies of Sichuan University |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/208441]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Luyu |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Univ Macau, Asia Pacific Acad Econ & Management, Fac Business Adm, Macau, Peoples R China 3.Sichuan Univ, Tourism Sch, Chengdu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Jun,Chen, Jiaqi,Law, Rob,et al. Travel patterns and spatial structure: understanding winter tourism by trajectory data mining[J]. ASIA PACIFIC JOURNAL OF TOURISM RESEARCH,2024,N/A:18. |
| APA | Liu, Jun,Chen, Jiaqi,Law, Rob,Wang, Shenghong,&Yang, Luyu.(2024).Travel patterns and spatial structure: understanding winter tourism by trajectory data mining.ASIA PACIFIC JOURNAL OF TOURISM RESEARCH,N/A,18. |
| MLA | Liu, Jun,et al."Travel patterns and spatial structure: understanding winter tourism by trajectory data mining".ASIA PACIFIC JOURNAL OF TOURISM RESEARCH N/A(2024):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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