A risk-based model for allocating post-earthquake reconstruction finance in medium-size Iranian Cities
Abstract Introduction and Background This study explores effective strategies for allocating financial resources in postearthquake urban reconstruction. Given the financial complexities of such projects, it is essential to have a structured plan to identify challenges and address potential gaps. The...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-01-01
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| Series: | Geoenvironmental Disasters |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40677-024-00306-4 |
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| Summary: | Abstract Introduction and Background This study explores effective strategies for allocating financial resources in postearthquake urban reconstruction. Given the financial complexities of such projects, it is essential to have a structured plan to identify challenges and address potential gaps. The research underscores the importance of predisaster planning in managing financial resources efficiently. Methodology District 2 of Tehran municipality was chosen as the case study due to its significant risk exposure and vulnerability, making it a suitable representation of a medium-sized urban area. The study includes two key components: seismic risk assessment and financial resource allocation. Seismic risk was modeled using computational methods and risk analysis techniques. Strategies for budget allocation were formulated based on insights from interviews, historical case studies, and computational modeling. Results Scenarios ranging from optimistic to pessimistic were analyzed to assess their impact on reconstruction timelines. Results show that reconstruction for an urban area like District 2 could be completed in 4.3 years in the optimistic scenario, 9.2 years in the probable scenario, and 11.3 years in the pessimistic scenario. Conclusion The study reveals that efficient resource allocation minimizes delays, while insufficient planning significantly prolongs recovery. These findings demonstrate the importance of pre-disaster planning and effective resource allocation in expediting recovery and improving resilience in medium-sized cities. |
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| ISSN: | 2197-8670 |