Investigating urban metro stations as cognitive places in cities using points of interest
文献类型：期刊论文
| 作者 | Liu, Kang3,4; Qiu, Peiyuan3; Gao, Song2; Lu, Feng1,3 ; Jiang, Jincheng4; Yin, Ling4
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| 刊名 | CITIES
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| 出版日期 | 2020-02-01 |
| 卷号 | 97页码:13 |
| 关键词 | Metro station Cognitive region Place Point of interest Web page TF-IDF |
| ISSN号 | 0264-2751 |
| DOI | 10.1016/j.cities.2019.102561 |
| 通讯作者 | Jiang, Jincheng(jc.jiang@siat.ac.cn) ; Yin, Ling(yinling@siat.ac.cn) |
| 英文摘要 | The significance of urban metro stations extends beyond their roles as transport nodes in a city. Their surroundings are usually well-developed and attract a lot of human activities, which make the metro station areas important cognitive places characterized by vague boundaries and rich semantics. Current studies mainly define metro station areas based on an estimation of walking distance to the stations (e.g., 700 m) and investigate these areas from the perspectives of transportation and land use instead of as cognitive places perceived by the crowd. To fill this gap, this study proposes a novel framework for extracting and understanding the cognitive regions of urban metro stations based on points of interest (POIs). First, we extract the cognitive regions of metro stations based on co-occurrence patterns of the stations and their surrounding POIs on web pages by proposing a cohesive approach combined of spatial clustering, web page extraction, knee-point detection, and polygon generation techniques. Second, we identify the semantics of metro stations based on POI types inside the regions using the tern frequency-inverse document frequency (TF-IDF) method. In total 166 metro stations along with more than one million POIs in Shenzhen, China are utilized as data sources of the case study. The results indicate that our proposed framework can well detect the place characteristics of urban metro stations, which enriches the place-based GIS research and provides a human-centric perspective for urban planning and location-based-service (LBS) applications. |
| WOS关键词 | TRANSIT-ORIENTED DEVELOPMENT ; LAND-USE ; ACCESSIBILITY ; RELATEDNESS ; GENERATION ; REGIONS ; AREAS ; NODE |
| 资助项目 | National Natural Science Foundation of China[41901391] ; National Natural Science Foundation of China[41631177] ; National Natural Science Foundation of China[41701452] ; China Postdoctoral Science Foundation[2019M653114] ; State Key Laboratory of Resources and Environmental Information System ; Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology |
| WOS研究方向 | Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:000510082600035 |
| 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 ; Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/132365]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Jiang, Jincheng; Yin, Ling |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 4.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Kang,Qiu, Peiyuan,Gao, Song,et al. Investigating urban metro stations as cognitive places in cities using points of interest[J]. CITIES,2020,97:13. |
| APA | Liu, Kang,Qiu, Peiyuan,Gao, Song,Lu, Feng,Jiang, Jincheng,&Yin, Ling.(2020).Investigating urban metro stations as cognitive places in cities using points of interest.CITIES,97,13. |
| MLA | Liu, Kang,et al."Investigating urban metro stations as cognitive places in cities using points of interest".CITIES 97(2020):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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