中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Integration of migration and attention flow data to reveal association of virtual-real dual intercity network structure

文献类型:期刊论文

作者Xu, Yushu; Zhang, Haiping2,4; Li, Zihan; Wang, Haoran; Zhou, Lei3; Bao, Ziye; Tang, Guo'An
刊名CITIES
出版日期2023-12-01
卷号143页码:104614
关键词Flow space Virtual -real dual network Attention flow Intercity network structure Spatial association pattern
DOI10.1016/j.cities.2023.104614
产权排序2
文献子类Article
英文摘要The study of intercity network structure from the perspective of flow space can effectively reveal the connection patterns, hierarchical laws, and spatial organization of cities. However, current studies mostly focus on a single real or virtual space, neglecting the comprehensive perspective. Furthermore, the research subject of network relationships is usually the complex original aligned network rather than the spatially cohesive network structure. In this study, spatial network structures are constructed and extracted based on the migration flow and attention flow, which represent people's objective behavior and subjective will, respectively. This study then reveals the association between virtual and real networks from three aspects: node location, node attributes, and local network structure characteristics. Results indicate that compared with the real network structure, the virtual network structure has a strong same-level node agglomeration and a significant node size difference. Spatial dislocations are observed in the high association of the various measures of China's real and virtual network structures. The degree of differences in network structures between virtual and real spaces varies spatially. This paper reveals the dynamics of urban development in different spaces, helping build a humancentered, high-quality space governance system for virtual and real spaces.
WOS关键词URBAN ; CITIES ; TOURISM
WOS研究方向Urban Studies
WOS记录号WOS:001094969900001
源URL[http://ir.igsnrr.ac.cn/handle/311030/199441]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
通讯作者Zhang, Haiping
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China
2.Nanjing Univ Posts & Telecommun, Sch Geog & Biol Informat, Nanjing, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Nanjing Normal Univ, Sch Geog, Nanjing 210023, Peoples R China
推荐引用方式
GB/T 7714
Xu, Yushu,Zhang, Haiping,Li, Zihan,et al. Integration of migration and attention flow data to reveal association of virtual-real dual intercity network structure[J]. CITIES,2023,143:104614.
APA Xu, Yushu.,Zhang, Haiping.,Li, Zihan.,Wang, Haoran.,Zhou, Lei.,...&Tang, Guo'An.(2023).Integration of migration and attention flow data to reveal association of virtual-real dual intercity network structure.CITIES,143,104614.
MLA Xu, Yushu,et al."Integration of migration and attention flow data to reveal association of virtual-real dual intercity network structure".CITIES 143(2023):104614.

入库方式: OAI收割

来源:地理科学与资源研究所

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