Visualizing and exploring POI configurations of urban regions on POI-type semantic space
文献类型：期刊论文
| 作者 | Liu, Kang1,2; Yin, Ling1; Lu, Feng2,3; Mou, Naixia4 |
| 刊名 | CITIES
 |
| 出版日期 | 2020-04-01 |
| 卷号 | 99页码:10 |
| 关键词 | Point of interest Urban region POI configuration Semantic space Word embedding Visualization |
| ISSN号 | 0264-2751 |
| DOI | 10.1016/j.cities.2020.102610 |
| 通讯作者 | Yin, Ling(yinling@siat.ac.cn) |
| 英文摘要 | POI configuration of a region indicates a combination of POI counts on various types inside the region. Exploring POI configurations of urban regions facilitates to understand their functionalities, vibrancy, and developments. However, current studies and applications mainly make statistics toward POI counts on various types separately, neglecting the implicit semantic relations between different types and failing to uncover POI-configuration patterns intuitively. This study proposes a novel framework for visualizing and exploring POIs on POI-type semantic space, with semantic relations of the types being considered. Firstly, using a word-embedding technique (i.e., Word2Vec), the embeddings of POI types are learned from their neighborships on geographic space. Secondly, using a dimension-reduction technique (i.e., t-SNE), all POI-type embeddings are mapped onto 2-dimensional semantic space, where related or similar types would be nearer to each other. Finally, taking the POI-type semantic space as a "base map", POI configuration of each region is rendered as a "thematic map" by POI counts on various types, which can help intuitively understand and conveniently compare urban regions. The proposed framework can be applied to any urban region and any POI data source, which provides an effective information delivery method for urban planning and POI related urban studies and applications. |
| WOS关键词 | FUNCTIONAL REGIONS ; TOD |
| 资助项目 | National Natural Science Foundation of China[41901391] ; National Natural Science Foundation of China[41631177] ; National Natural Science Foundation of China[41771441] ; China Postdoctoral Science Foundation[2019M653114] ; State Key Laboratory of Resources and Environmental Information System |
| WOS研究方向 | Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:000526037400031 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; State Key Laboratory of Resources and Environmental Information System |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/133863]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yin, Ling |
| 作者单位 | 1.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Kang,Yin, Ling,Lu, Feng,et al. Visualizing and exploring POI configurations of urban regions on POI-type semantic space[J]. CITIES,2020,99:10. |
| APA | Liu, Kang,Yin, Ling,Lu, Feng,&Mou, Naixia.(2020).Visualizing and exploring POI configurations of urban regions on POI-type semantic space.CITIES,99,10. |
| MLA | Liu, Kang,et al."Visualizing and exploring POI configurations of urban regions on POI-type semantic space".CITIES 99(2020):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。