Unravelling urban dynamics: understanding urban structures in Chinese cities using large-scale human location data
文献类型：期刊论文
| 作者 | Wang, Nan1,2; Yi, Jiawei1,2; Liang, Fuyuan3; Qian, Jiale1,2; Tu, Wenna1,2; Huang, Sheng1,2; Luo, Peixian1,2; Du, Yunyan1,2,4 |
| 刊名 | CITIES
 |
| 出版日期 | 2025-09-01 |
| 卷号 | 164页码:106096 |
| 关键词 | Urban dynamics Location-based service data Trajectory-Polycentricity Structure Graph Model Structure stability Chinese cities |
| ISSN号 | 0264-2751 |
| DOI | 10.1016/j.cities.2025.106096 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | In the context of rapid urbanization, understanding the dynamics of urban spatial structures at a fine spatiotemporal scale across diverse cities is vital. However, this area of research remains underexplored at the national level. This study introduces a novel framework, leveraging location-based service (LBS) data from over one billion users, to analyze urban structural dynamics across 287 Chinese cities. We employ the Lorenz Curve-City Clustering Algorithm (LC-CCA) to identify daily urban activity centers and the Trajectory-Polycentric Structure Graph Model (TPSGM) to quantify spatiotemporal structural evolution, overcoming the limitations of static methods. By analyzing the daily dynamic patterns of these cities, we investigate how these patterns relate to various urban characteristics. The analysis reveals that smaller and medium-sized cities tend to have monocentric structures, particularly in western and northeastern China. Additionally, we observe rhythmic fluctuations in urban structures throughout the day, with 84.3 % of cities showing a more monocentric configuration during the daytime, which shifts toward increased polycentricity in the evening. We find larger cities exhibit greater daily variability (DPSVI), while polycentricity (DPSSI) enhances stability, with a logarithmic relationship showing that each 0.1 increase in DPSSI reduces DPSVI by 0.034. This study further underscores the critical role of socioeconomic development, topography, and urban planning policies in shaping the dynamic characteristics of urban structures. These findings advance hourly-scale urban monitoring and inform adaptive, sustainable planning strategies. |
| URL标识 | 查看原文 |
| WOS关键词 | SPATIAL STRUCTURE ; POLYCENTRICITY ; PRODUCTIVITY ; SUBCENTERS ; ENERGY ; FORM |
| WOS研究方向 | Urban Studies |
| 语种 | 英语 |
| WOS记录号 | WOS:001504669400001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214588]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Du, Yunyan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China; 3.Western Illinois Univ, Dept Earth Atmospher & Geog Informat Sci, Macomb, IL 61455 USA; 4.Jiangxi Normal Univ, Sch Geog & Environm, Nanchang 330022, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Nan,Yi, Jiawei,Liang, Fuyuan,et al. Unravelling urban dynamics: understanding urban structures in Chinese cities using large-scale human location data[J]. CITIES,2025,164:106096. |
| APA | Wang, Nan.,Yi, Jiawei.,Liang, Fuyuan.,Qian, Jiale.,Tu, Wenna.,...&Du, Yunyan.(2025).Unravelling urban dynamics: understanding urban structures in Chinese cities using large-scale human location data.CITIES,164,106096. |
| MLA | Wang, Nan,et al."Unravelling urban dynamics: understanding urban structures in Chinese cities using large-scale human location data".CITIES 164(2025):106096. |
入库方式： OAI收割
来源：地理科学与资源研究所
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