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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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-01-01
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| Series: | Geoenvironmental Disasters |
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| Online Access: | https://doi.org/10.1186/s40677-024-00306-4 |
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| author | Niloofar Kazemiasl Hooman Motamed Mohsen Fazlavi |
| author_facet | Niloofar Kazemiasl Hooman Motamed Mohsen Fazlavi |
| author_sort | Niloofar Kazemiasl |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-680f328762444d2681a730eff1e56423 |
| institution | Kabale University |
| issn | 2197-8670 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Geoenvironmental Disasters |
| spelling | doaj-art-680f328762444d2681a730eff1e564232025-01-19T12:38:19ZengSpringerOpenGeoenvironmental Disasters2197-86702025-01-0112112710.1186/s40677-024-00306-4A risk-based model for allocating post-earthquake reconstruction finance in medium-size Iranian CitiesNiloofar Kazemiasl0Hooman Motamed1Mohsen Fazlavi2Pars University of Architecture and Art (PU)Allianz CommercialNational University of Skills (NUS)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.https://doi.org/10.1186/s40677-024-00306-4Post-earthquake reconstructionFinancial resource allocationSeismic riskTehran earthquakeEarthquake loss estimationDisaster management |
| spellingShingle | Niloofar Kazemiasl Hooman Motamed Mohsen Fazlavi A risk-based model for allocating post-earthquake reconstruction finance in medium-size Iranian Cities Geoenvironmental Disasters Post-earthquake reconstruction Financial resource allocation Seismic risk Tehran earthquake Earthquake loss estimation Disaster management |
| title | A risk-based model for allocating post-earthquake reconstruction finance in medium-size Iranian Cities |
| title_full | A risk-based model for allocating post-earthquake reconstruction finance in medium-size Iranian Cities |
| title_fullStr | A risk-based model for allocating post-earthquake reconstruction finance in medium-size Iranian Cities |
| title_full_unstemmed | A risk-based model for allocating post-earthquake reconstruction finance in medium-size Iranian Cities |
| title_short | A risk-based model for allocating post-earthquake reconstruction finance in medium-size Iranian Cities |
| title_sort | risk based model for allocating post earthquake reconstruction finance in medium size iranian cities |
| topic | Post-earthquake reconstruction Financial resource allocation Seismic risk Tehran earthquake Earthquake loss estimation Disaster management |
| url | https://doi.org/10.1186/s40677-024-00306-4 |
| work_keys_str_mv | AT niloofarkazemiasl ariskbasedmodelforallocatingpostearthquakereconstructionfinanceinmediumsizeiraniancities AT hoomanmotamed ariskbasedmodelforallocatingpostearthquakereconstructionfinanceinmediumsizeiraniancities AT mohsenfazlavi ariskbasedmodelforallocatingpostearthquakereconstructionfinanceinmediumsizeiraniancities AT niloofarkazemiasl riskbasedmodelforallocatingpostearthquakereconstructionfinanceinmediumsizeiraniancities AT hoomanmotamed riskbasedmodelforallocatingpostearthquakereconstructionfinanceinmediumsizeiraniancities AT mohsenfazlavi riskbasedmodelforallocatingpostearthquakereconstructionfinanceinmediumsizeiraniancities |