应用科学学报 ›› 2026, Vol. 44 ›› Issue (3): 409-421.doi: 10.3969/j.issn.0255-8297.2026.03.005

• 智能信息处理 • 上一篇    

城市绿色竞争力对外作用强度及其空间网络关系分析——以辽宁省为例

郭力娜, 杨月恒, 赵艳霞   

  1. 华北理工大学矿业工程学院, 河北 唐山 063210
  • 收稿日期:2022-11-02 发布日期:2026-06-23
  • 通信作者: 杨月恒,研究方向为资源环境评价、地理信息技术与应用。E-mail:1056901315@qq.com E-mail:1056901315@qq.com
  • 基金资助:
    辽宁省国土空间生态修复规划编制(专题研究)(No.20210208);河北省教育厅人文社会科学研究重大课题攻关项目(No.ZD202207);河北省社会科学基金(No.HB19SH006);国家自然科学基金(No.41771560,No.41671519)

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

摘要: 伴随着城市规模的不断扩大和城市群的快速成长,城市空间发展不平衡、资源分配不均衡的问题开始出现,如何优化城市空间结构成为目前的重点问题。运用主成分分析法测算2015—2020年辽宁省城市绿色竞争力质量水平,利用构建的修正引力模型对辽宁省城市对外作用强度及其空间网络关系进行分析。研究结果表明: 1)辽宁省城市群绿色竞争力质量水平整体在不断提高,但强弱不平衡的格局并没有得到显著改善; 2)辽宁省城市对外作用强度在一定程度上有所提升,但城市间差异现象依然存在,特别是沈阳市、本溪市的数值远超其他城市; 3)辽宁省城市群整体相互作用强度网络结构较为紧密,城市间互动频繁且充满活力。

关键词: 绿色竞争力, 对外作用强度, 主成分分析, 引力模型, 空间网络

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

中图分类号: