长江流域资源与环境 >> 2025, Vol. 34 >> Issue (12): 2781-.doi: 10.11870/cjlyzyyhj202512013

• 生态环境 • 上一篇    下一篇

长三角城市生态韧性空间关联网络及影响因素

张力文,孙鹏*   

  1. (西安外国语大学旅游学院,陕西 西安710128)
  • 出版日期:2025-12-20 发布日期:2025-12-25

Spatial Correlation Network and Influencing Factors of Urban Ecological Resilience in the Yangtze River Delta Region

ZHANG Li-wen,SUN Peng   

  1. (Institute for Tourism Studies, Xian International Studies University, Xi′an 710128, China)
  • Online:2025-12-20 Published:2025-12-25

摘要: 探究城市生态韧性空间关联网络的复杂性和动态性,可为实现长三角区域生态协同发展提供新的研究视角。以长三角地区41个地级市为研究样本,利用熵权-Topsis法测算2013~2022年城市生态韧性水平,并基于此构建空间关联矩阵,采用社会网络分析法考察城市生态韧性空间关联网络演变特征及驱动机制。结果表明:(1)长三角地区城市生态韧性整体水平持续提升,高韧性区域范围逐步扩大,但区域差异性明显,呈现东南高西北低的时空分布格局;空间关联网络格局逐渐形成,且整体网络联系密度有所增强,呈现密集化、多中心化特征。(2)整体网络结构变得更加紧密和稳定,核心城市(如上海、杭州)在网络中发挥中心行动者和中介沟通者的重要作用,呈现“核心—边缘”空间分布特征;城市生态韧性空间关联板块可划分为净溢出、主受益和“经纪人”板块,各板块成员分布符合长三角地区核心经济圈、中部连接带与边缘腹地的地理特征;(3)经济发展、科技创新水平、对外开放及政策调控等社会经济因素对城市生态韧性空间关联网络的形成具有显著影响。

Abstract: Exploring the complexity and dynamics of the spatial association network of urban ecological resilience can provide a new research perspective for achieving ecological collaborative development in the Yangtze River Delta Region (YRDR).This study used 41 prefecture-level cities in the YRDR as the research samples, and performed a measurement of urban ecological resilience levels from 2013 to 2022.The entropy weight-TOPSIS method was adopted.A spatial association matrix was constructed, and the social network analysis was employed to examine the evolution characteristics and driving mechanisms of the urban ecological resilience.The results showed that: (1)The overall level of urban ecological resilience in the YRDR had steadily improved, and the range of high-resilience areas had gradually expanded.However, regional disparities remained evident, showing a spatiotemporal distribution pattern of high resilience in the southeast and low resilience in the northwest.The spatial association network had gradually formed, and the overall network connection density had increased, showing the features of intensification and multicentralization.(2)The overall network structure had become tighter and more stable.The core cities (such as Shanghai and Hangzhou) played a key role as central actors and intermediaries in the network, and displayed a "core-periphery" spatial distribution.The urban ecological resilience spatial association could be divided into the net spillover, main beneficiary, and "broker" sectors.The distribution of members in these sectors aligned with the geographical characteristics of the Yangtze River Delta's core economic zone, central connecting belt, and peripheral hinterlands.(3)Socio-economic factors such as economic development, technological innovation levels, foreign openness, and policy regulation had a significant impact on the formation of the urban ecological resilience spatial association network.

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