Journal of Applied Sciences ›› 2026, Vol. 44 ›› Issue (3): 409-421.doi: 10.3969/j.issn.0255-8297.2026.03.005

• Intelligent Information Processing • Previous Articles    

Analysis on the External Action Intensity and Spatial Network Relationship of Urban Green Competitiveness: A Case Study of Liaoning Province

GUO Lina, YANG Yueheng, ZHAO Yanxia   

  1. College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, Hebei, China
  • Received:2022-11-02 Published:2026-06-23

Abstract: With the continued expansion of cities and the rapid growth of urban agglomerations, problems such as unbalanced spatial development and uneven resource allocation have emerged. Optimizing urban spatial structure has become a key issue. This study used principal component analysis (PCA) to measure the quality level of urban green competitiveness in Liaoning Province from 2015 to 2020 and applied a modified gravity model to analyze external action intensity and spatial network relationships. The results are as follows. 1) The overall quality level of green competitiveness of urban agglomerations in Liaoning Province is constantly improving, but the pattern of imbalance between cities with strong and weak competitiveness has not been significantly improved. 2) The external action intensity of cities in Liaoning Province has improved to a certain extent, but differences remain among cities, especially in Shenyang and Benxi, which have values far higher than those of other cities. 3) The network structure of the overall interaction intensity among urban agglomerations in Liaoning Province is relatively dense, with frequent and dynamic interactions among cities.

Key words: green competitiveness, external action intensity, principal component analysis, gravity model, spatial network

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