收稿日期: 2024-01-25
修回日期: 2024-04-07
网络出版日期: 2024-11-27
基金资助
国家哲学社会科学基金重大项目(21&ZD147);国家哲学社会科学基金重点项目(20ATJ002);陕西省社会科学基金项目(2020F003)
Resilience spatial network structure of the three major urban agglomerations in the Yellow River Basin
Received date: 2024-01-25
Revised date: 2024-04-07
Online published: 2024-11-27
在风险复杂化与区域协同化的背景下，探讨多中心、多层级、多节点的韧性空间网络结构组织模式对城市群韧性建设、风险防范及可持续发展具有现实意义。基于社会网络理论，以黄河流域三大城市群为例，运用修正后的引力模型测算城市韧性发展空间关联关系，在此基础上利用社会网络分析黄河流域三大城市群韧性空间关联网络的结构特征。结果表明：（1）黄河流域三大城市群城市韧性水平呈现增长势态，韧性网络联系强度逐渐增强，韧性整体网络日趋完善。（2）黄河流域三大城市群韧性水平空间联系网络日益紧密，省会城市辐射效应明显，优势地位突出，但子群间发展不均衡。黄河流域三大城市群已形成典型网络式空间格局，其中山东半岛城市群形成以省会济南市为中心出发点，以沿海城市青岛市、烟台市为次级中心点辐射带动整个城市群的“一主二副”韧性空间网络格局；中原城市群形成以郑州为中心，外围的开封市、洛阳市等城市为次级中心点的“放射状”韧性空间网络格局；关中平原城市群韧性联系密切区域主要呈现以省会西安市和咸阳市相连接的“双核”韧性空间网络格局。
史维良 , 李博雅 . 黄河流域三大城市群城市韧性空间网络结构研究[J]. 干旱区地理, 2024 , 47(10) : 1767 -1780 . DOI: 10.12118/j.issn.1000-6060.2024.058
In the context of complex risks and regional synergy, exploring a multi-center, multi-level, and multi-node resilience spatial network structure for the resilience building, risk prevention, and sustainable development of urban agglomerations holds significant practical value. This study applies social network theory and uses the three major urban agglomerations in the Yellow River Basin as a case study. The modified gravity model calculates the spatial correlations of urban resilience development, and based on this, social network analysis is employed to evaluate the structural characteristics of the resilience spatial association network in these urban agglomerations. The findings reveal the following: (1) The resilience level of the three major urban agglomerations in the Yellow River Basin is trending upward, with increasing intensity in network connections, indicating that the overall resilience network is becoming more robust and integrated. (2) The spatial connectivity of resilience among the urban agglomerations is tightening, with provincial capitals demonstrating a strong radiation effect and holding dominant positions, although development among sub-agglomerations remains uneven. A typical network-type spatial pattern has emerged, where the Shandong Peninsula urban agglomeration forms a resilient spatial network characterized by “one main and two subordinate” centers, with Jinan City as the central node and Qingdao City and Yantai City as secondary centers. The Central Plains urban agglomeration forms a “radial” resilient spatial network with Zhengzhou City as the center and Kaifeng City, Luoyang City, and other cities as secondary centers. The Guanzhong Plain urban agglomeration shows a closely interconnected resilience network, presenting a “dual-core” spatial pattern linked by the provincial capitals of Xi’an City and Xianyang City.
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