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Comparative analysis of structural characteristics of China's 18 typical urban agglomerations based on flows of various elements

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  • Ma, Wen
  • Fang, Zhuoqiong
  • Zhang, Xiangfeng

Abstract

Flows of different elements among cities can affect urban organizational structures, leading to specific links between and roles for cities within urban agglomerations. Previous studies have mainly focused on flows produced by specific elements in a single urban agglomeration, and they cannot reveal differences in organizational structures affected by multiple elements among different urban agglomerations. Therefore we selected 18 typical urban agglomerations in China and explored their structural characteristics under comprehensive effects of four elements: economy, resources, population and technology, with gravity model and social network analysis. Guangdong-Hong Kong-Macao Urban Agglomeration had a maximum flow intensity of 5.15, this concentration range was the largest from 0.65 to 3.75, indicating that more elements flowed internally. Shandong Peninsula Urban Agglomeration had the largest network density at 0.412, the lowest efficiency at 0.567, and the lowest hierarchy at 0.000, showing that intercity relationships within SP were the tightest among the18 urban agglomerations. Geographical proximity and topological structure of subgroups proved that connections among subgroups were not complex, and cities of different provinces lacked close interactions. Furthermore, most of the key cities with high centrality indexes were municipalities directly under the Central Government or provincial capitals; these cities played important roles in networks and were distributed into “main spillover” and “bidirectional spillover” subgroups. This paper provides a unified analytical framework aimed at urban agglomerations that accounts for flows of multiple types of elements and explores urban organizational structures, and our results could provide scientific guidance for promoting the coordinated and sustainable development of urban agglomerations.

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  • Ma, Wen & Fang, Zhuoqiong & Zhang, Xiangfeng, 2023. "Comparative analysis of structural characteristics of China's 18 typical urban agglomerations based on flows of various elements," Ecological Modelling, Elsevier, vol. 479(C).
    • Handle: RePEc:eee:ecomod:v:479:y:2023:i:c:s0304380023000364
    DOI: 10.1016/j.ecolmodel.2023.110308
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    1. Zuo Zhang & Zhe Wang & Wei Zhang & Yanzhong Liu & Zhi Li & Lin Huang & Wei Wang, 2021. "The Complexity of Urban CO2 Emission Network: An Exploration of the Yangtze River Middle Reaches Megalopolis, China," Complexity, Hindawi, vol. 2021, pages 1-14, January.
    2. Evert Meijers, 2007. "From Central Place To Network Model: Theory And Evidence Of A Paradigm Change," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 98(2), pages 245-259, April.
    3. Yingying Yuan & Zenglin Han, 2021. "Structural characteristics and proximity comparison of China’s urban innovation cooperation network," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-19, July.
    4. Qiaowen Lin & Mengyu Xiang & Lu Zhang & Jinjiang Yao & Chao Wei & Sheng Ye & Hongmei Shao, 2021. "Research on Urban Spatial Connection and Network Structure of Urban Agglomeration in Yangtze River Delta—Based on the Perspective of Information Flow," IJERPH, MDPI, vol. 18(19), pages 1-20, September.
    5. Xu, Bin & Lin, Boqiang, 2015. "Carbon dioxide emissions reduction in China's transport sector: A dynamic VAR (vector autoregression) approach," Energy, Elsevier, vol. 83(C), pages 486-495.
    6. Yubo Zhao & Gui Zhang & Hongwei Zhao & Anirban Chakraborti, 2021. "Spatial Network Structures of Urban Agglomeration Based on the Improved Gravity Model: A Case Study in China’s Two Urban Agglomerations," Complexity, Hindawi, vol. 2021, pages 1-17, February.
    7. Bowen Chen & Changyan Wu & Xianjin Huang & Xuefeng Yang, 2020. "Examining the Relationship between Urban Land Expansion and Economic Linkage Using Coupling Analysis: A Case Study of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    8. Xinhua Zhu & Qianli Wang & Peifeng Zhang & Yunjiang Yu & Lingling Xie, 2021. "Optimizing the spatial structure of urban agglomeration: based on social network analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 683-705, April.
    9. Fengjian Ge & Wanxu Chen & Yuanyuan Zeng & Jiangfeng Li, 2021. "The Nexus between Urbanization and Traffic Accessibility in the Middle Reaches of the Yangtze River Urban Agglomerations, China," IJERPH, MDPI, vol. 18(7), pages 1-17, April.
    10. Roberta Capello & Andrea Caragliu & Ugo Fratesi, 2018. "Breaking Down the Border: Physical, Institutional and Cultural Obstacles," Economic Geography, Taylor & Francis Journals, vol. 94(5), pages 485-513, October.
    11. Guihai Yu & Deyan He & Wenlong Lin & Qiuhua Wu & Jianxiong Xiao & Xiaofang Lei & Zhongqun Xie & Renjie Wu, 2020. "China’s Spatial Economic Network and Its Influencing Factors," Complexity, Hindawi, vol. 2020, pages 1-13, December.
    12. Qipeng Sun & Sijie Wang & Kaiqi Zhang & Fei Ma & Xiaozhuang Guo & Tingzhen Li, 2019. "Spatial Pattern of Urban System Based on Gravity Model and Whole Network Analysis in Eight Urban Agglomerations of China," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-17, August.
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