Gabriella Tocchi
Biographic Data
| ID | 9872445 |
|---|---|
| NAME | Gabriella Tocchi |
| GIVEN NAMES | Gabriella |
| FAMILY NAME | Tocchi |
| SIGNATURE | TOCCHI G |
| AFFILIATIONS | University of Naples Federico II |
| ORCID | 0000-0001-7691-6291 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Virtual testbed for multi-risk assessment
Urban areas may be considered as hotspots for disaster risk. The intrinsic complexity and interdependency of urban systems in a multi-risk framework call for integrated, system-based approaches to understand and model multi-risk processes and to support effective Disaster Risk Management (DRM) and Climate Change Adaptation (CCA) strategies. In this context, Virtual Testbeds (VTBs) have emerged as effective instruments for the development, benchma…
Virtual testbed for multi-risk assessment
Urban areas are characterized by high level of exposure in terms of population, assets, and highly interconnected systems, which can lead to multiple cascading effects under single and multi-hazards scenarios. Effective disaster risk management requires integrated approaches and models that account for hazard interactions as well as cascading effects within urban systems, but real-world application is often limited by data availability and coordi…
Multi-hazard risk assessment in coastal urban settlements
Over the past few decades, economic losses from natural hazards have continued to increase due to the combined effects of climate change, population growth, and rapid urbanization in hazard-prone areas. This effect is particularly relevant in coastal urban areas, where high population density, critical infrastructure concentration, and exposure to multiple hazards may generate complex, spatially heterogeneous risk conditions. In such contexts, tr…
Integrating multi-hazard, socio-physical information in a holistic index for decision making on disaster risk reduction
Effective disaster risk management (DRM) requires a contextual understanding of the underlying risks that should account for: (1) the effects of multiple (natural) hazards on the systems/communities of interest; and (2) social vulnerability factors that influence how different sectors within a given community experience, respond to and cope with these effects. We propose a straightforward multi-hazard risk index for guiding high-level DRM decisio…
Multi-risk assessment in transboundary areas
The use of machine-learning methods for post-earthquake building usability assessment
The assessment of building usability in the aftermath of an earthquake is mostly aimed at post-event emergency management, but it is also valuable for the planning of risk-reduction policies. In the seismic risk assessment field, the development of suitable consequence functions that correlate physical damage to usability and serviceability of structures is crucial to evaluate the expected social and economic losses in a region of interest. Predi…
No prominent works on this page.
The use of machine-learning methods for post-earthquake building usability assessment
The assessment of building usability in the aftermath of an earthquake is mostly aimed at post-event emergency management, but it is also valuable for the planning of risk-reduction policies. In the seismic risk assessment field, the development of suitable consequence functions that correlate physical damage to usability and serviceability of structures is crucial to evaluate the expected social and economic losses in a region of interest. Predi…
Multi-risk assessment in transboundary areas
Integrating multi-hazard, socio-physical information in a holistic index for decision making on disaster risk reduction
Effective disaster risk management (DRM) requires a contextual understanding of the underlying risks that should account for: (1) the effects of multiple (natural) hazards on the systems/communities of interest; and (2) social vulnerability factors that influence how different sectors within a given community experience, respond to and cope with these effects. We propose a straightforward multi-hazard risk index for guiding high-level DRM decisio…
Virtual testbed for multi-risk assessment
Urban areas may be considered as hotspots for disaster risk. The intrinsic complexity and interdependency of urban systems in a multi-risk framework call for integrated, system-based approaches to understand and model multi-risk processes and to support effective Disaster Risk Management (DRM) and Climate Change Adaptation (CCA) strategies. In this context, Virtual Testbeds (VTBs) have emerged as effective instruments for the development, benchma…
Virtual testbed for multi-risk assessment
Urban areas are characterized by high level of exposure in terms of population, assets, and highly interconnected systems, which can lead to multiple cascading effects under single and multi-hazards scenarios. Effective disaster risk management requires integrated approaches and models that account for hazard interactions as well as cascading effects within urban systems, but real-world application is often limited by data availability and coordi…
Multi-hazard risk assessment in coastal urban settlements
Over the past few decades, economic losses from natural hazards have continued to increase due to the combined effects of climate change, population growth, and rapid urbanization in hazard-prone areas. This effect is particularly relevant in coastal urban areas, where high population density, critical infrastructure concentration, and exposure to multiple hazards may generate complex, spatially heterogeneous risk conditions. In such contexts, tr…
Computer Science (3 works) · Engineering (3 works) · Flood Risk Assessment and Management (3 works) · Testbed (3 works) · Business (2 works) · Civil engineering (2 works) · Environmental planning (2 works) · Environmental Science (2 works) · Hazard (2 works) · Infrastructure Resilience and Vulnerability Analysis (2 works)