透视图(图形)
弹性(材料科学)
地理
城市景观
环境资源管理
环境规划
区域科学
环境科学
计算机科学
人工智能
热力学
物理
作者
Xinghua Feng,Chunliang Xiu,Limin Bai,Yexi Zhong,Ye Wei
出处
期刊:Cities
[Elsevier BV]
日期:2020-05-23
卷期号:104: 102722-102722
被引量:173
标识
DOI:10.1016/j.cities.2020.102722
摘要
Urban resilience is a new path for the sustainable development of cities in the future. However, recognizing and quantifying urban resilience is still in the conceptual and exploratory stage. In this study, we present a “scale-density-morphology” resilience framework as well as an index model to investigate the evolution of urban resilience based on theories of landscape ecology and evolutionary resilience. We find that spatial development is a major factor affecting scale resilience; population distribution is significantly related to density resilience; urban growth boundaries and ecological infrastructure are factors for optimizing morphology resilience; and an excellent balance of “scale-density-morphology” fosters the development of resilient urban areas. We give large cities recommendations for developing resilience, including—preventing urban sprawl and controlling the scale of construction land, reducing population and building density to promote low-carbon green production and lifestyles, strengthening ecological networks, and controlling urban growth boundaries, etc. This study hopes to provide a scientifically based spatial guide that could implement resilient urban planning and could serve as a case study for quantitative research on urban resilience.
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