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Analyzing the resilience capacity of critical infrastructures in areas vulnerable to climate change: a study in Khuzestan province.
- Source :
- Sustainable Development of the Geographical Environment; Jan2024, Vol. 5 Issue 9, p90-106, 17p
- Publication Year :
- 2024
-
Abstract
- In the last decade, resilience has found a special place in the literature related to risk and hazard management. This issue is very important in the balanced, flexible and wise use of these infrastructures, especially in the areas that are exposed to climate change and the damages caused by it. In this regard, the present research has studied the resilience capacity of critical infrastructures in areas vulnerable to climate change, focusing on Khuzestan province, and for this purpose, the analytical framework of the resilience adaptation cycle model has been used. The data collection was done using the targeted Delphi method and from the perspective of 30 experts and experts, and the similarity model to the fuzzy ideal option was used to analyze the data. The findings of the research indicate that the critical infrastructure of the electricity network in Khuzestan province has the weakest conditions in all four stages of the four stages of the resilience adaptation cycle model and requires the creation of appropriate resilience capacities. This issue is more noticeable in the form of indicators of creativity in times of crisis, saved capital, positive changes and qualitative surplus. The final analysis of the resilience quality of critical infrastructures also shows the priority of the reorganization stage in improving the recovery capacity for the resilience of these infrastructures in Khuzestan province. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 24765805
- Volume :
- 5
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- Sustainable Development of the Geographical Environment
- Publication Type :
- Academic Journal
- Accession number :
- 176000952
- Full Text :
- https://doi.org/10.48308/SDGE.2023.232648.1141