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Arid Land Geography ›› 2024, Vol. 47 ›› Issue (10): 1767-1780.doi: 10.12118/j.issn.1000-6060.2024.058

• Regional Development • Previous Articles     Next Articles

Resilience spatial network structure of the three major urban agglomerations in the Yellow River Basin

SHI Weiliang(), LI Boya()   

  1. Xi’an University of Finance and Economics School of Statistics, Xi’an 710100, Shaanxi, China
  • Received:2024-01-25 Revised:2024-04-07 Online:2024-10-25 Published:2024-11-27
  • Contact: LI Boya E-mail:1836160272@163.com;bylkkkk@163.com

Abstract:

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.

Key words: urban resilience, spatial network structure, gravitational modeling, social network analysis