中国
弹性(材料科学)
城市复原力
环境规划
地理
城市规划
土木工程
工程类
考古
热力学
物理
作者
Xinghua Feng,Meihai XU,Yexi ZHONG,Qiyue LI,Becky P.Y. Loo,Chunliang Xiu
出处
期刊:Cities
[Elsevier BV]
日期:2025-04-02
卷期号:162: 105934-105934
被引量:5
标识
DOI:10.1016/j.cities.2025.105934
摘要
Under the influence of rapid urbanization, urban systems are faced with many potential risks that can seriously jeopardize the sustainable development of cities. Resilience has emerged as a novel path to enhance urban sustainability. This study constructs a comprehensive urban resilience assessment framework by integrating the urban structural dimensions with the resilience attributes. It then applies the concept of panarchy, notably the process of regional derivation and its cross-scale relationships, to identify different phases in the adaptive cycle of urban resilience and make resilience policy recommendations. Nanchang City, a typical water network city in southern China, has been chosen as a case study due to its ecological and political significance. The analysis suggests that the downtown and southern suburban areas are in the exploitation phase, where the regional derivation and cross-scale interactions are stable and singular. The peripheral ecological barrier area is in the conservation phase, where the regional derivation and cross-scale relationships are complex. The study demonstrates the unique value of the concept of panarchy and its practical implications in resilience planning, notably through the rapid identification of key areas for resilience governance, predictions of resilience development trends and detailed guidance for fostering urban resilience at the local level. • A framework of comprehensive resilience is constructed by integrating urban structure dimensions and resilience attributes. • The concept of panarchy is applied with a focus on the process of regional derivation and its cross-scale relationships. • Different phases in the adaptive cycle of urban resilience are identified based on different levels of regionalization. • Based on the above, a location-specific landscape pattern optimization strategy is recommended.
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