Comprehensive evaluation of urban resilience based on the perspective of landscape pattern: A case study of Shenyang city

《Comprehensive evaluation of urban resilience based on the perspective of landscape pattern: A case study of Shenyang city》

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关键字: Scale-density-morphology;Urban resilience;Comprehensive evaluation;Geo-detector;Shenyang city

作者单位: School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China;Jangho Architecture College, Northeastern University, Shenyang 110169, China;School of Architecture and Planning, Jilin Jianzhu University, Changchun 130018, China;School of Geographical Science, Northeast Normal University, Changchun 130024, China;School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China;Jangho Architecture College, Northeastern University, Shenyang 110169, China;School of Architecture and Planning, Jilin Jianzhu University, Changchun 130018, China;School of Geographical Science, Northeast Normal University, Changchun 130024, China

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.