Přehled o publikaci
2023
Comparative Resilience Evaluation – Case Study for Six Cities in China, Europe, and the Americas
OLIVEIRA, Bruno and Brian D. FATHBasic information
Original name
Comparative Resilience Evaluation – Case Study for Six Cities in China, Europe, and the Americas
Authors
OLIVEIRA, Bruno (40 Austria) and Brian D. FATH (840 United States of America, belonging to the institution)
Edition
Land, Basel, MDPI, 2023, 2073-445X
Other information
Language
English
Type of outcome
Article in a journal
Country of publisher
Switzerland
Confidentiality degree
is not subject to a state or trade secret
References:
RIV identification code
RIV/00216224:14230/23:00134825
Organization
Fakulta sociálních studií – Repository – Repository
UT WoS
001014627100001
EID Scopus
2-s2.0-85163827009
Keywords in English
resilience; cities; indicators; climate change; urban resilience
Changed: 10/1/2025 00:50, RNDr. Daniel Jakubík
Abstract
V originále
The historical development of the urban realm has brought marvelous benefits to humankind, which has profited from the infrastructure, services, and social networks provided by cities. Nonetheless, considering current and future risks, understanding how cities can absorb impacts and reorganize their structure while keeping their identities is fundamental and timely. In other words, understanding how to promote resilience is crucial. This study developed a comparative urban resilience index (CURI) formed by 29 indicators and applied it to case studies in Europe, China, and the Americas (Malmo, Vienna, Beijing, Shanghai, Baltimore, and Sao Paulo). An innovative identity dimension was built to embrace the cultural traits of studied cities. Results point to a systemic property of CURI when comparing cities in both timeframes (2000 and 2020). In addition, two groups were formed: Malmo, Beijing, and Baltimore increased their resilience due to higher performance in at least two dimensions; Shanghai, Vienna, and Sao Paulo decreased their resilience due to lower performance in at least three dimensions. Ranking the data in terms of the benchmark promoted a quick understanding of which city is the "best in class" for each dimension, creating a clear way forward for other cities to follow.