Community Resilience Planning Process and Practice with Nature-based Solutions: Experience and Enlightenment from the United States

ZHANG Yujia; ZHAI Guofang; LU Yuwen

doi:10.19830/j.upi.2023.103

2025, 03, v.40 96-104

融入基于自然的解决方案的社区韧性规划历程与实践——美国的经验与启示

张钰佳翟国方鲁钰雯

1.南京大学建筑与城市规划学院

基金项目(Foundation): 日本学术振兴会基金（18K03022）; 中国博士后科学基金（2021M701649）; 江苏省自然科学基金（BK20220782）

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DOI: 10.19830/j.upi.2023.103

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摘要：

在气候变化引发灾害频发的背景下，韧性城市建设成为应对风险的重要举措。社区作为基层治理的基本单元，其韧性体系建设尤为重要。基于自然的解决方案（NbS）作为实现社区韧性的重要路径，主要通过统筹工程性干预和系统性社会治理来有效提升社区的物质空间韧性和社会空间韧性，其在美国的应用于提升社区韧性方面取得了显著成效。本文首先通过探讨NbS在社区韧性建设中的作用机制，梳理美国社区韧性规划中融入NbS的历程；其次依据作用机制分类介绍典型实例；最后从理论、规划和治理三方面提出美国经验对我国韧性社区建设的启示，以期为我国相关实践提供参考。

关键词： 基于自然的解决方案; 社区韧性; 融入路径; 规划历程; 美国;

Abstract：

With the frequent disasters caused by climate change, the construction of resilient cities has become an important measure to deal with risks. As the fundamental unit of governance, community resilience system construction is particularly important. Nature-based solutions(NbS) is an important path to achieve community resilience, primarily through integrating engineering interventions and systematic social governance measures to effectively enhance both the material and social resilience of communities. The United States has made great achievements in applying NbS to improve community resilience. This paper explores the mechanisms of NbS in community resilience construction,reviews the process of integrating NbS into community resilience planning in the United States, and categorizes typical examples based on the mechanisms. Finally,this paper draws insights from the United States experiences from theoretical,planning, and governance perspectives, aiming to provide references for the development of resilient communities in China.

KeyWords： Nature-based Solutions(NbS); Community Resilience; Integration Path; Planning Process; The United States;

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基本信息:

DOI：10.19830/j.upi.2023.103

中图分类号:TU984.12

引用信息:

[1]张钰佳,翟国方,鲁钰雯.融入基于自然的解决方案的社区韧性规划历程与实践——美国的经验与启示[J].国际城市规划,2025,40(03):96-104.DOI:10.19830/j.upi.2023.103.

基金信息:

日本学术振兴会基金（18K03022）; 中国博士后科学基金（2021M701649）; 江苏省自然科学基金（BK20220782）

发布时间：

2023-09-11

出版时间：

2023-09-11

网络发布时间：

2023-09-11

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