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Erschienen in: Quality & Quantity 2/2021

19.07.2020

Optimizing the spatial structure of urban agglomeration: based on social network analysis

verfasst von: Xinhua Zhu, Qianli Wang, Peifeng Zhang, Yunjiang Yu, Lingling Xie

Erschienen in: Quality & Quantity | Ausgabe 2/2021

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Abstract

The development of urban agglomerations is fundamentally influenced by their spatial structure. Based on the case of Beijing–Tianjin–Hebei (BTH) urban agglomeration, this study aims to evaluate the spatial connection intensity and spatial structure characteristics of BTH urban agglomeration and provide tenable suggestions to optimize the BTH urban agglomeration. The TOPSIS model, the revised gravity model, and social network analysis are employed respectively. The findings indicate that: (1) Wide discrepancy exists within the agglomeration in terms of spatial connection intensity. Cities in the central regions have the greatest connection intensity with other cities and then the connection intensity decreases from the middle to the northern and southern parts of the agglomeration. The connection intensity between core cities such as Beijing, Tianjin and Shijiazhuang and the other non-core cities is much lower than the connection intensity among core cities. (2) The social network of BTH urban agglomeration is relatively low-dense and unstable. The centrality degrees of Beijing and Tianjin are the highest, making them the core of the spatial structure of the agglomeration. (3) The BTH urban agglomeration can be divided as three circle layers and four cohesive subgroups, among which Shijiazhuang and Hengshui are two cities dissociating from other cities. Given this, it is urgent that the government should disengage Beijing from its non-capital functions, promote Tangshan and Baoding as bridge cities, so as to enhance the connection intensity between core cities and edge cities, turn Shijiazhuang into the third growth pole other than Beijing and Tianjin, and eventually revolutionize the monopolar structure into a multipolar one.

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Metadaten
Titel
Optimizing the spatial structure of urban agglomeration: based on social network analysis
verfasst von
Xinhua Zhu
Qianli Wang
Peifeng Zhang
Yunjiang Yu
Lingling Xie
Publikationsdatum
19.07.2020
Verlag
Springer Netherlands
Erschienen in
Quality & Quantity / Ausgabe 2/2021
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI
https://doi.org/10.1007/s11135-020-01016-3

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