How to determine city hierarchies and spatial structure of a megaregion?

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外文摘要：Megaregion has emerged as a global urban form,typically based on the polycentric strategy to enhance regional development.How to measure megaregional spatial structure and discrimi-nate different roles of cities has become increasingly important to enrich the knowledge of the formation of a megaregion.Meanwhile,various indices have been used to identify vital nodes in the field of complex network.Which indices,however,are suitable for megaregion analysis remain unsolved.To address this requirement,this study first reviewed the typical indices for identifying vital nodes in the complex network theory,and pointed out that in a weighted city network scenario,weighted degree centrality,hub&authority score,and S-core decomposi-tion(which represent network centrality,connectivity,and structures,respectively)are suitable for analyzing megaregional spatial structures.Then,we explored the city hierarchies and spatial structure in Guangdong Province,China,using the three indices.The hierarchical structure of the weighted city network in Guangdong Province had been identified using S-core decomposition.From the perspective of polycentric structure,Guangzhou and Shenzhen have the strongest node degrees and strength of mobility flows,while the Guangzhou-Dongguan-Shenzhen corridor has been identified via the hub&authority score which is designed to evaluate the connectivity in a weighted network.Moreover,we con-ducted a comparison analysis of three indices.The findings of this study not only enrich the understanding of city hierarchies and the structure of a megaregion,but also highlight that although various indices are available,they should be applied selectively in accordance with the study context.

外文关键词：

Megaregioncity hierarchiesspatial structurecomplex network

作者：

Yanyan Gu、Run Shi、Yan Zhuang、Qingquan Li、Yang Yue

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作者单位：

Shenzhen Key Laboratory of Spatial Smart Sensing and Services,Shenzhen University,Shenzhen,China

Department of Urban Informatics,School of Architecture and Urban Planning,Shenzhen University,Shenzhen,China

Department of Urban Planning and Design,The University of Hong Kong,Hong Kong SAR,China

State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,China

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出版年：

2024

DOI：

10.1080/10095020.2022.2161425

地球空间信息科学学报(英文版)

武汉大学（原武汉测绘科技大学）

地球空间信息科学学报(英文版)

影响因子：0.207

ISSN：1009-5020

年,卷(期)：2024.27(2)