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博士生张成岳,郭仁忠的论文在LAND 刊出
发布时间:2022-01-05 10:06:22     发布者:易真     浏览次数:

标题: How Different Are Population Movements between Weekdays and Weekends: A Complex-Network-Based Analysis on 36 Major Chinese Cities

作者: Zhang, CY (Zhang, Chengyue); Li, MM (Li, Minmin); Ma, D (Ma, Ding); Guo, RZ (Guo, Renzhong)

来源出版物: LAND : 10 : 11 文献号: 1160 DOI: 10.3390/land10111160 出版年: NOV 2021

摘要: With the rapid development of Information and Communications Technology (ICT) and transportation infrastructure, the flows of people between cities have become the cornerstone of shaping regional integration. Although research studies about the movement of people have aroused widespread interest in academia, research about the temporal and spatial dynamics of daily mobility between cities is sparse, which is called the temporal heterogeneity of mobility between cities. This research aims to study the temporal and spatial changes (Heterogeneity) of population mobility between cities, using big data obtained through China Unicom, in terms of mapping the spatial network of population mobility and complex network analysis, from which the following findings emerge: (1) On weekends, the gap between cities in the number of floating population flow and the capacity of transferring population has become smaller, indicating that there is better coordination between cities on weekends. (2) There are huge differences in population flow between cities, which reflects the imbalance of urban development, population is more concentrated in cities with higher level of development. (3) The heterogeneity of population flow between cities at weekdays and weekends is closely related to the city's hierarchy, which can help us study the hierarchical structure of China's cities from a dynamic perspective. The paper emphasizes the importance of researching heterogeneity issues, clarifies the difference between the heterogeneity of weekdays and weekends and the heterogeneity involved in previous population research fields in terms of population flow and deficiencies in research.

作者关键词: big data; population mobility; weekdays; weekends; diversity; China

KeyWords Plus: NATURAL CITIES; ZIPFS LAW; HETEROGENEITY; MIGRATION

地址: [Zhang, Chengyue; Guo, Renzhong] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

[Li, Minmin] Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518060, Peoples R China.

[Li, Minmin] Shenzhen Univ, Technol Innovat Ctr Terr & Spatial Big Data, MNR & Res Inst Smart Cities, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China.

[Ma, Ding; Guo, Renzhong] Shenzhen Univ, Res Inst Smart Cities, Shenzhen 518000, Peoples R China.

通讯作者地址: Guo, RZ (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430072, Peoples R China.

Guo, RZ (通讯作者)Shenzhen Univ, Res Inst Smart Cities, Shenzhen 518000, Peoples R China.

电子邮件地址: Zhangyue9309@whu.edu.cn; limm@szu.edu.cn; dingma@szu.edu.cn; guorz@szu.edu.cn

影响因子:4.848

 

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