Climate Adaptation Measures for Enhancing Urban Resilience
Author(s): |
Seyed M. H. S. Rezvani
Nuno Marques De Almeida Maria João Falcão |
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Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 23 August 2023, n. 9, v. 13 |
Page(s): | 2163 |
DOI: | 10.3390/buildings13092163 |
Abstract: |
Climate change threatens urban areas globally. Enhancing resilience is crucial, yet the comprehensive clustering of practical climate adaptation measures for use in construction industry decision-making is notably absent. This study investigates and categorizes various climate adaptation measures, justifying each through a lens of risk management, asset management, and previous scientific work. It takes advantage of the innovative digital platform Netobra, which offers an ecosystem for the construction industry, to provide real-world, practical implications of these measures. Informed by the Urban Resilience Evaluation System, ISO 31000 (risk management), and ISO 55000 (asset management), the study sets out to demonstrate the value of these measures in bolstering urban resilience and improving decision-making in the construction industry. Moreover, the study integrates a hotspot detection mechanism for areas at high risk of climate impacts, using multicriteria decision analysis (MCDA)—analytic hierarchy process (AHP) mapping on Netobra. These identified hotspots and corresponding climate adaptation measures will further be incorporated into a Risk-Informed Asset-Centric (RIACT) process, providing valuable insights for climate change mitigation and adaptation strategies in urban development. Through its in-depth analysis, the study aims to contribute to the understanding of how diverse climate adaptation measures can be practically applied in various sectors, thereby enhancing urban resilience and effective risk and asset management. |
Copyright: | © 2023 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10737239 - Published on:
02/09/2023 - Last updated on:
14/09/2023