Characteristics of urban network and city functions in the Yangtze River Delta Region: A multi-scale perspective

被引:2
作者
Zhang, Shaohua [1 ]
Cai, Jun [1 ]
Wei, Ye [2 ]
Yang, Qiyao [1 ]
Li, Lemei [1 ]
机构
[1] Dalian Univ Technol, Sch Architecture & Fine Art, Dalian 116024, Liaoning, Peoples R China
[2] Northeast Normal Univ, Sch Geog Sci, Key Lab Geog Proc & Ecol Secur Changbai Mt, Minist Educ, Changchun 130024, Jilin, Peoples R China
基金
英国科研创新办公室;
关键词
Multi; -scale; Urban network; Rescaling; City functions; Buzz and pipelines model; KNOWLEDGE COLLABORATION; CITIES; MEGALOPOLIS; CHINA; SCALE; POLYCENTRICITY; POLITICS;
D O I
10.1016/j.heliyon.2024.e30377
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The development of cities and regions emerges from the complex associations at various spatial levels, highlighting the importance of a multi-scale approach to analyzing regional urban networks. This study attempts to establish a new analysis framework encompassing national, regional, and local dimensions by employing a population flow network in the Yangtze River Delta in China. It explores the inter-city connections and spatial structures of regional urban networks as well as the correlations and differentiations of urban functions under multi-scale interaction. The results indicate that: (1) Regional network demonstrates notable multi-scale interactions with an explicit hierarchical structure; (2) The roles and positions of different cities vary significantly across scales due to economic, administrative, locational, and transportation differences; (3) Different city types can drive their evolution by navigating through rescaling in a diverse multi-scale environment; (4) A positive correlation is observed when comparing the functional behaviors of cities across various scales. This study provides insights for cities to identify their strategic roles and adapt development strategies within the wider network framework, offering theoretical and practical contributions to multi-scale urban networks analysis.
引用
收藏
页数:15
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