Eyitayo A Opabola
Datos Biográficos
| ID | 9720977 |
|---|---|
| NOMBRE | Eyitayo A Opabola |
| NOMBRES | Eyitayo A |
| APELLIDO | Opabola |
| FIRMA | OPABOLA E A |
| AFILIACIONES | University of California, Berkeley |
| ORCID | 0000-0002-7598-4812 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 6 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 6 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2022 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Diagnosing long-term divergence in Build Back Better outcomes in low- and lower-middle-income communities
Low-income communities in disaster-prone regions face persistent challenges in translating post-disaster recovery investments into sustained resilience, as they navigate trade-offs among engineering objectives, policy constraints, and evolving socio-economic needs. Despite the widespread adoption of Build Back Better (BBB) principles, evidence on the long-term sustainability of outcomes remains limited, particularly in low- and lower-middle-incom…
Interpretable machine learning insights into wildfire damage drivers in California, USA
The escalating threat posed by wildfires to civil infrastructure and communities highlights the urgent need for efficient wildfire-induced damage prediction tools that can identify key damage drivers and be integrated into wildfire risk models. This paper addresses these challenges by developing an interpretable machine learning-based framework for probabilistic wildfire damage modeling in wildfire risk models. The framework also provides data-dr…
Approaches to post-tsunami coastal reconstruction
Natural hazards pose significant challenges to affected communities worldwide, yet there remains a lack of comprehensive studies comparing recovery efforts across different countries and cultures. This study addresses the gap by investigating the impact of three devastating tsunami events on four distinct locations: Banda Aceh (Sumatra, Indonesia) and Southern Thailand, both affected by the 2004 Indian Ocean Tsunami, the 20th anniversary of which…
Simulating Multihazard Interactions Using Higher-Order Network Analysis
Our built environment is often subjected to multiple (natural) hazards’ concurrent and/or sequential impacts. Modeling multihazard interactions (i.e., possible interrelationships between hazard events with their associated frequencies and severities and resulting impacts on a specific location or region of interest) and simulating multihazard scenarios (or event sets; i.e., realizations of possible multihazard interactions) to design and assess c…
Investing in disaster preparedness and effective recovery of school physical infrastructure
The importance of functioning education infrastructure for the post-disaster recovery of communities is well-acknowledged. Yet, recent natural-hazard events worldwide have highlighted that school facilities still face many post-disaster recovery-impeding challenges. A significant investment in resilience enhancement through appropriate disaster preparedness and post-disaster recovery management is needed to tackle such global challenges. This pap…
Multicriteria decision making for selecting an optimal survey approach for large building portfolios
Technological advances and innovations have led to various pre- and post-disaster data collection alternatives. Hence, selecting a suitable survey approach may be challenging for different decision-makers. This paper proposes a multicriteria decision-making (MCDM) method to choose the optimal survey approach to gather exposure information needed for reliable multi-hazard risk assessment of large building and infrastructure portfolios. Both determ…
Sin obras prominentes en esta página.
Multicriteria decision making for selecting an optimal survey approach for large building portfolios
Technological advances and innovations have led to various pre- and post-disaster data collection alternatives. Hence, selecting a suitable survey approach may be challenging for different decision-makers. This paper proposes a multicriteria decision-making (MCDM) method to choose the optimal survey approach to gather exposure information needed for reliable multi-hazard risk assessment of large building and infrastructure portfolios. Both determ…
Investing in disaster preparedness and effective recovery of school physical infrastructure
The importance of functioning education infrastructure for the post-disaster recovery of communities is well-acknowledged. Yet, recent natural-hazard events worldwide have highlighted that school facilities still face many post-disaster recovery-impeding challenges. A significant investment in resilience enhancement through appropriate disaster preparedness and post-disaster recovery management is needed to tackle such global challenges. This pap…
Simulating Multihazard Interactions Using Higher-Order Network Analysis
Our built environment is often subjected to multiple (natural) hazards’ concurrent and/or sequential impacts. Modeling multihazard interactions (i.e., possible interrelationships between hazard events with their associated frequencies and severities and resulting impacts on a specific location or region of interest) and simulating multihazard scenarios (or event sets; i.e., realizations of possible multihazard interactions) to design and assess c…
Interpretable machine learning insights into wildfire damage drivers in California, USA
The escalating threat posed by wildfires to civil infrastructure and communities highlights the urgent need for efficient wildfire-induced damage prediction tools that can identify key damage drivers and be integrated into wildfire risk models. This paper addresses these challenges by developing an interpretable machine learning-based framework for probabilistic wildfire damage modeling in wildfire risk models. The framework also provides data-dr…
Approaches to post-tsunami coastal reconstruction
Natural hazards pose significant challenges to affected communities worldwide, yet there remains a lack of comprehensive studies comparing recovery efforts across different countries and cultures. This study addresses the gap by investigating the impact of three devastating tsunami events on four distinct locations: Banda Aceh (Sumatra, Indonesia) and Southern Thailand, both affected by the 2004 Indian Ocean Tsunami, the 20th anniversary of which…
Diagnosing long-term divergence in Build Back Better outcomes in low- and lower-middle-income communities
Low-income communities in disaster-prone regions face persistent challenges in translating post-disaster recovery investments into sustained resilience, as they navigate trade-offs among engineering objectives, policy constraints, and evolving socio-economic needs. Despite the widespread adoption of Build Back Better (BBB) principles, evidence on the long-term sustainability of outcomes remains limited, particularly in low- and lower-middle-incom…
Engineering (5 obras) · Business (3 obras) · Computer Science (2 obras) · Disaster Management and Resilience (2 obras) · Environmental planning (2 obras) · Environmental Science (2 obras) · Forensic engineering (2 obras) · Geography (2 obras) · Capacity building (1 obras) · Coastal and Marine Dynamics (1 obras)