Abstract
Currently, approximately 60% of the global population resides in urban areas. Urban energy resilience can be distinguished into two categories: short-term resilience—the ability to cope with natural disasters, and long-term resilience—the ability to withstand the adverse impacts of climate change. In this study, the outcomes of the previous study, which prioritized 34 sub-criteria based on a four-factor classification: technical/infrastructural, built environment, governance, and socio-cultural aspects of both short and long-term approaches, are employed as the basis for the comprehensive resilience management model. The fuzzy analytic hierarchy process is used to quantify each resilience sub-criterion by considering four aspects of availability, affordability, availability, and acceptability. A novel integrated index, the urban energy circular resilience index, is introduced by utilizing these quantified sub-criteria to evaluate the energy resilience of urban areas. The calculated circular resilience index value for Tehran city as a case study was reported as 33.12 and 26.47% in short-term and long-term resilience, respectively, compared to the ideal city. These findings highlight the need for a detailed action plan to ensure the energy resilience of Tehran. To improve the energy resilience of the city, several action plans have been prioritized, including the generation and provision of energy from renewable sources, energy consumption management, climate adaptation, financial and executive mechanisms to reinforce existing laws, incentive methods, and public awareness. This study’s comprehensive resilience model and index enable organizations to manage the energy supply, reduce energy consumption, and mitigate the various effects of climate change effectively.
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Notes
Short-Term _Urban Energy_ Circular Resiliency Index.
Long-Term _Urban Energy_ Circular Resiliency Index.
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Mohaghegh Zahed, L., Abbaspour, M. Determination and prioritization of criteria to design urban energy resilience conceptual model (part 2). Int. J. Environ. Sci. Technol. 20, 9649–9662 (2023). https://doi.org/10.1007/s13762-023-05058-6
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DOI: https://doi.org/10.1007/s13762-023-05058-6