Jin-Wei Yan
Biographic Data
| ID | 7915956 |
|---|---|
| NAME | Jin-Wei Yan |
| GIVEN NAMES | Jin-Wei |
| FAMILY NAME | Yan |
| SIGNATURE | YAN J |
| AFFILIATIONS | Nantong University |
| ORCID | 0000-0002-3777-6916 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Research on the tourist market of Beijing 5A scenic spot based on social media data
Studying the tourist market structure is essential for understanding regional differences in travel preferences and mobility patterns. This study examines the spatiotemporal distribution and driving factors of domestic tourist flows to Beijing’s 5A scenic spots from 2019 to 2023, based on multi-source data including over one million records from Sina Weibo, Point of Interest (POI) datasets, and official statistical yearbooks. Grounded in time geo…
Spatiotemporal Distribution Characteristics and Driving Forces of PM2.5 in Three Urban Agglomerations of the Yangtze River Economic Belt
As part of one of the five major national development strategies, the Yangtze River Economic Belt (YREB), including the three national-level urban agglomerations (the Cheng-Yu urban agglomeration (CY-UA), the Yangtze River Middle-Reach urban agglomeration (YRMR-UA), and the Yangtze River Delta urban agglomeration (YRD-UA)), plays an important role in China's urban development and economic construction. However, the rapid economic growth of the pa…
No prominent works on this page.
Spatiotemporal Distribution Characteristics and Driving Forces of PM2.5 in Three Urban Agglomerations of the Yangtze River Economic Belt
As part of one of the five major national development strategies, the Yangtze River Economic Belt (YREB), including the three national-level urban agglomerations (the Cheng-Yu urban agglomeration (CY-UA), the Yangtze River Middle-Reach urban agglomeration (YRMR-UA), and the Yangtze River Delta urban agglomeration (YRD-UA)), plays an important role in China's urban development and economic construction. However, the rapid economic growth of the pa…
Research on the tourist market of Beijing 5A scenic spot based on social media data
Studying the tourist market structure is essential for understanding regional differences in travel preferences and mobility patterns. This study examines the spatiotemporal distribution and driving factors of domestic tourist flows to Beijing’s 5A scenic spots from 2019 to 2023, based on multi-source data including over one million records from Sina Weibo, Point of Interest (POI) datasets, and official statistical yearbooks. Grounded in time geo…
China (2 works) · Geography (2 works) · Advertising (1 works) · Air Quality and Health Impacts (1 works) · Beijing (1 works) · Business (1 works) · Computer Science (1 works) · Digital Marketing and Social Media (1 works) · Distribution (mathematics (1 works) · Diverse Aspects of Tourism Research (1 works)