Urban Resilience Discourse Analysis: Towards a Multi-Level Approach to Cities

Details

Ressource 1Download: sustainability-10-04431 (1) copy.pdf (2722.67 [Ko])
State: Public
Version: Final published version
License: Not specified
Serval ID
serval:BIB_EF093D6E3269
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Urban Resilience Discourse Analysis: Towards a Multi-Level Approach to Cities
Journal
Sustainability
Author(s)
Rogov M., Rozenblat C.
ISSN
2071-1050 (Online)
Publication state
Published
Issued date
27/11/2018
Peer-reviewed
Oui
Volume
10
Number
12
Pages
NA
Language
english
Notes
Article 4431
Abstract
This study aims to understand the current state of research in urban resilience, its relations to urban sustainability and to integrate several distinct approaches into a multi-level perspective of cities comprising micro, meso and macro levels and their interactions. In fact, based on the meta-analysis of nearly 800 papers from Scopus from 1973 to 2018, we show that urban resilience discourses address micro and meso levels, considering shocks of bottom-up origin such as natural disasters. In contrast, the regional resilience approach addresses meso and macro levels (regional and global scales), considering shocks of top-down origin such as world economic crises. We find these approaches complementary and argue that in order to expand the urban resilience theory and overcome its limitations, they should be combined. For that purpose we propose a multi-level perspective that integrates both top-down and bottom-up dynamic processes. We argue that urban resilience is shaped by the synchronicity of adaptive cycles on three levels: micro, meso and macro. To build the multi-level approach of dynamics of adaptive cycles we use the panarchy framework.
Keywords
urban resilience, regional resilience, sustainability, cities, multi-level approach, complex systems, panarchy, adaptive cycles
Publisher's website
Open Access
Yes
Create date
06/12/2018 13:37
Last modification date
20/08/2019 17:16
Usage data