Using Mobile Phone Data to Examine Point-of-Interest Urban Mobility
文献类型：期刊论文
| 作者 | Chen, Hao1,4; Song, Xianfeng1,3; Xu, Changhui2; Zhang, Xiaoping1,3 |
| 刊名 | JOURNAL OF URBAN TECHNOLOGY
 |
| 出版日期 | 2021-02-20 |
| 页码 | 16 |
| 关键词 | Mobility pattern appearance probability estimation frequent location detection population classification radius of gyration |
| ISSN号 | 1063-0732 |
| DOI | 10.1080/10630732.2021.1882175 |
| 通讯作者 | Song, Xianfeng(xfsong@ucas.ac.cn) |
| 英文摘要 | Human mobility patterns have been investigated on a macroscale ranging from intra-city and intercity to intra-country based on mobile phone data. However, few studies have been conducted from a micro-view to characterize group-level human mobility behavior with respect to a point of interest (POI). In this paper, we intend to explore the differences in mobility patterns across those groups of community members at a specific POI. First, an appearance probability estimation algorithm is proposed to detect individual frequent locations for each user, and thereafter mobile users are classified into POI-related categories for further analysis of group-level mobility behavior. A hospital experiment is described based on a mobile phone dataset collected from Hangzhou City, China. An evaluation of this model illustrates the good performance of our scheme. Moreover, the mobility pattern analysis exhibits differences between groups with respect to frequent locations, radius of gyration, and population spatial distribution. The results of the radius of gyration distributions show that medical workers, out-patients, and passersby all follow an exponentially truncated power-law distribution, while in-patients present an exponential-law distribution. |
| 资助项目 | National Key Research and Development Foundation of China[2017YFB0503702] ; National Key Research and Development Foundation of China[2017YFB0503605] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040403] ; Natural Science Foundation of the Jiangsu Higher Education Institutions of China[20KJB170018] ; National Natural Science Foundation of China[40771167] ; National Natural Science Foundation of China[41601486] |
| WOS研究方向 | Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:000620890200001 |
| 出版者 | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD |
| 资助机构 | National Key Research and Development Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Natural Science Foundation of the Jiangsu Higher Education Institutions of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/160689]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Song, Xianfeng |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 2.Chinese Acad Surveying & Mapping, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 4.Huaiyin Normal Univ, Sch Urban & Environm Sci, Huaian, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Hao,Song, Xianfeng,Xu, Changhui,et al. Using Mobile Phone Data to Examine Point-of-Interest Urban Mobility[J]. JOURNAL OF URBAN TECHNOLOGY,2021:16. |
| APA | Chen, Hao,Song, Xianfeng,Xu, Changhui,&Zhang, Xiaoping.(2021).Using Mobile Phone Data to Examine Point-of-Interest Urban Mobility.JOURNAL OF URBAN TECHNOLOGY,16. |
| MLA | Chen, Hao,et al."Using Mobile Phone Data to Examine Point-of-Interest Urban Mobility".JOURNAL OF URBAN TECHNOLOGY (2021):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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