Urban resilience in motion: The diffusion of urban resilience policies in transnational municipal networks

IF 4.4 1区 经济学 Q1 ENVIRONMENTAL STUDIES
Pallavi Rachel George, Sandip Chakrabarti
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Abstract

Transnational municipal networks (TMNs) play a pivotal role in urban planning and policy by encouraging peer learning among member cities. Recent studies have called for examining influencing-learning patterns in these networks. This study identifies key hypotheses related to policy diffusion within TMNs from extant literature and empirically tests their validity by studying the diffusion of resilience policies in the 100 Resilient Cities Network (100RC), the leading urban resilience TMN. A referencing network of member cities (nodes) and directed resilience policy knowledge flows (edges) is developed using the resilience strategy documents of the member cities and is analyzed along five urban resilience dimensions: health and well-being, economy and society, infrastructure and environment, leadership and strategy, and equity. Various network configurations and node centrality measures are explored, along with exponential random graph modeling and negative binomial regression analysis. The findings indicate the presence of highly influential cities (influencers) belonging to high-income countries. Influential cities are climate champions, joined 100RC early, have membership in multiple TMNs, and are from geographies with low physical resilience. Strong learners are predominantly from upper-middle-income and lower-middle-income countries. New York, Melbourne, New Orleans, Rotterdam, Mexico City, and Medellín are superstars in 100RC. We find a “Global North bias” in 100RC, despite its efforts to encourage peer learning between diverse cities. The study highlights the need for practitioners to carefully consider the design of TMNs committed to nurturing peer learning between cities, ensuring that geopolitical disparities and network organization do not inhibit meaningful sharing of knowledge.
运动中的城市弹性:城市弹性政策在跨国城市网络中的扩散
跨国城市网络(TMNs)通过鼓励成员城市之间的同侪学习,在城市规划和政策中发挥着关键作用。最近的研究呼吁检查这些网络中的影响学习模式。本研究从现有文献中确定了与弹性城市网络内政策扩散相关的关键假设,并通过研究领先的城市弹性城市网络100个弹性城市网络(100RC)中弹性政策扩散的实证检验了这些假设的有效性。利用成员城市的弹性战略文件,构建了成员城市(节点)和弹性政策导向知识流(边缘)的参考网络,并从五个城市弹性维度进行了分析:健康与福祉、经济与社会、基础设施与环境、领导力与战略以及公平。探讨了各种网络配置和节点中心性度量,以及指数随机图建模和负二项回归分析。研究结果表明,高收入国家存在高影响力城市(影响者)。有影响力的城市是气候冠军,较早加入100RC,拥有多个tmn的成员资格,并且来自物理弹性较低的地区。优秀的学习者主要来自中高收入和中低收入国家。纽约、墨尔本、新奥尔良、鹿特丹、墨西哥城和Medellín是100RC的超级明星。尽管100RC努力鼓励不同城市之间的同侪学习,但我们发现它存在“全球北方偏见”。该研究强调,从业者需要仔细考虑tmn的设计,以促进城市之间的同侪学习,确保地缘政治差异和网络组织不会阻碍有意义的知识共享。
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来源期刊
Urban Studies
Urban Studies Multiple-
CiteScore
10.50
自引率
8.50%
发文量
150
期刊介绍: Urban Studies was first published in 1964 to provide an international forum of social and economic contributions to the fields of urban and regional planning. Since then, the Journal has expanded to encompass the increasing range of disciplines and approaches that have been brought to bear on urban and regional problems. Contents include original articles, notes and comments, and a comprehensive book review section. Regular contributions are drawn from the fields of economics, planning, political science, statistics, geography, sociology, population studies and public administration.
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