弹性(材料科学)
城市化
地理
脆弱性(计算)
城市复原力
环境规划
城市规划
环境科学
经济地理学
环境资源管理
生态学
经济增长
经济
生物
计算机科学
热力学
物理
计算机安全
作者
Haiyang Li,Ying Wang,Hongwei Zhang,Ruimin Yin,Chong Liu,Zhaojun Wang,Fang Fu,Jiaqi Zhao
标识
DOI:10.1016/j.jclepro.2024.141614
摘要
The rapid urbanization poses the potential risk of overload and collapse for cities. Addressing the problems brought about by rapid urbanization to ensure urban safety and sustainable development has become particularly urgent and crucial, especially for regions with high ecological vulnerability and weak economic foundations. This study utilizes panel data spanning from 2013 to 2020 and applies the entropy weight-TOPSIS model to assess the urban resilience of 54 cities within the Yellow River Basin. It explores the temporal evolution, spatial distribution, and dynamics of urban resilience. Further, through the application of the Geographically and Temporally Weighted Regression model, the research investigates the drivers of urban resilience, considering temporal and spatial variations. Findings indicate a consistent increase in urban resilience across the Yellow River Basin, albeit with widening regional disparities. The spatial pattern of urban resilience exhibits a gradient decline from downstream to midstream and then upstream. The impact of various factors on urban resilience differs by region, with technological innovation emerging as the most influential. To foster a sustainable future, the Yellow River Basin should prioritize technological innovation, particularly in industrial cities, and advocate for the adoption of green technologies to diminish resource consumption and mitigate environmental pollution.
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