Carmine Galasso
Dados Biográficos
| ID | 2385105 |
|---|---|
| NOME | Carmine Galasso |
| PRENOMES | Carmine |
| SOBRENOME | Galasso |
| ASSINATURA | GALASSO C |
| AFILIAÇÕES | University College London |
| ORCID | 0000-0001-5445-4911 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 23 |
| TOTAL DE CITAÇÕES | 1 |
| TOTAL COMO AUTOR | 23 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2019 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 1 |
Disaster displacement in context
Disaster risk assessment has traditionally emphasized physical damage and economic loss, which can overlook the uneven hardships that disasters impose on households. Human-centered metrics aim to help address these concerns, with household displacement increasingly gaining attention as an alternative risk metric that can inform broader and more equitable decisions. However, limited contextual information and long-term data preclude adequate under…
A Bespoke Approach to Facilitating Disaster Impact Quantification Using Locally Relevant Metrics
Disaster impact metrics (DIMs) are key outputs of natural-hazard risk models/assessments that provide a tangible way of communicating risk. However, typical DIMs are limited in that they tend to capture only direct damage/economic losses, are specifically designed for developed countries, account for just one snapshot in time, and are characterized for individual assets rather than systems. These shortcomings partially stem from a lack of underst…
Seismic fragility assessment of regional building portfolios using machine learning and Poisson binomial distribution
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…
Unveiling vulnerabilities
Natural hazard exposure modelling involves compiling a comprehensive database with the elements at risk such as people, buildings, and infrastructure within a specified area of interest. Residential building (physical) exposure, in particular, is a critical component of disaster risk modelling and management. However, it cannot be examined in isolation from the socioeconomic characteristics of its residents, especially when estimating advanced, p…
Household Displacement and Return in Disasters
Household displacement following disasters has become endemic in many areas worldwide, affecting at least 265 million people between 2008 and 2018. Although this figure includes short-term and potentially life-saving evacuations, there is ample evidence that not all households return after the emergency phase. Protracted displacement is associated with particularly negative consequences for the affected households and community. Yet, existing dat…
Assessing the potential implementation of earthquake early warning for schools in the Patras region, Greece
Earthquake early warning (EEW) is currently deemed a credible approach to seismic resilience enhancement in modern societies, especially if part of a more holistic earthquake mitigation strategy involving other risk reduction tools such as structural upgrading/retrofit. Yet, there remains a strong need to 1) assess the feasibility of EEW in various seismotectonic contexts, considering specific target applications/end users; and 2) develop next-ge…
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…
Interdisciplinarity in practice
The concept of disaster risk is cross-disciplinary by nature and reducing disaster risk has become of interest for various disciplines. Yet, moving from a collection of multiple disciplinary perspectives to integrated interdisciplinary disaster risk approaches remains a fundamental challenge. This paper reflects on the experience of a group of early-career researchers spanning physical scientists, engineers and social scientists from different or…
Design and assessment of pro-poor financial soft policies for expanding cities
Recent major earthquake disasters have highlighted the effectiveness of financial soft policies (e.g., earthquake insurance) in transferring seismic risk away from those directly impacted and complementing ‘hard’ disaster risk mitigation measures (e.g., structural retrofit). However, the benefits of existing financial soft policies are often not guaranteed. This may be attributed to: (1) their low penetration rate (e.g., in the case of earthquake…
Future exposure modelling for risk-informed decision making in urban planning
Population increases and related urban expansion are projected to occur in various parts of the world over the coming decades. These future changes to the urban fabric could fundamentally alter the exposure to natural hazards and the associated vulnerability of people and the built environment with which they interact. Thus, modelling, quantifying, and reducing future urban disaster risk require forward-looking insights that capture the dynamic f…
A state-of-the-art decision-support environment for risk-sensitive and pro-poor urban planning and design in Tomorrow's cities
In this Special Issue introductory paper, we present the Tomorrow's Cities Decision Support Environment (TCDSE). As the negative impacts of natural hazards continue to escalate around the world due to increasing populations, climate change, and rapid urbanisation (among other factors and processes), there is an urgent requirement to develop structured and operational approaches towards multi-hazard risk-informed decision making on urban planning …
Physics-based simulations of multiple natural hazards for risk-sensitive planning and decision making in expanding urban regions
Rapid urban expansion in many parts of the world is leading to increased exposure to natural hazards, exacerbated by climate change. The use of physics-based models of natural hazards in risk-informed planning and decision-making frameworks may provide an improved understanding of site-specific hazard scenarios, allowing various decision makers to more accurately consider the consequences of their decisions on risks in future development. We pres…
Integrating earthquake early warnings into business continuity and organisational resilience
Earthquake early warning (EEW) is becoming a popular tool for mitigating earthquake-induced losses. However, the current literature separates EEW technical components and their operational and behavioural implications. This paper investigates how EEW can be integrated into business continuity practices, organisational resilience, and disaster risk reduction (DRR). A mixed methods approach is applied to analyse EEW perceptions in the case-study co…
Scoring, selecting, and developing physical impact models for multi-hazard risk assessment
This study focuses on scoring, selecting, and developing physical fragility (i.e., the probability of reaching or exceeding a certain damage state given a specific hazard intensity) and/or vulnerability (i.e., the probability of impact - or consequence - given a specific hazard intensity) models for assets of interest, with particular emphasis on buildings. Given a set of multiple relevant hazards for a selected case-study region, the proposed pr…
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…
Satellite precipitation–based extreme event detection for flood index insurance
A model taxonomy for flood fragility and vulnerability assessment of buildings
Innovations in earthquake risk reduction for resilience
The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) highlights the importance of scientific research, supporting the ‘availability and application of science and technology to decision making’ in disaster risk reduction (DRR). Science and technology can play a crucial role in the world's ability to reduce casualties, physical damage, and interruption to critical infrastructure due to natural hazards and their complex interactions. …
Wind-uplift fragility analysis of roof sheathing for cultural heritage assets in the Philippines
Probabilistic earthquake and flood loss assessment in the Middle East
Resilient communities through safer schools
Access to education is a basic human right. It is the 4th of the 17 Sustainable Development Goals (SDGs) and education is strongly associated with poverty reduction. Providing facilities to educate children requires construction of school buildings and rapid expansion of curricula. However, in the rush to fulfil the right to education, are children being put at risk? What attention is being given to structural safety during the construction of ne…
Data schemas for multiple hazards, exposure and vulnerability
Purpose Using risk-related data often require a significant amount of upfront work to collect, extract and transform data. In addition, the lack of a consistent data structure hinders the development of tools that can be used with more than one set of data. The purpose of this paper is to report on an effort to solve these problems through the development of extensible, internally consistent schemas for risk-related data. Design/methodology/appro…
Integrating earthquake early warnings into business continuity and organisational resilience
Earthquake early warning (EEW) is becoming a popular tool for mitigating earthquake-induced losses. However, the current literature separates EEW technical components and their operational and behavioural implications. This paper investigates how EEW can be integrated into business continuity practices, organisational resilience, and disaster risk reduction (DRR). A mixed methods approach is applied to analyse EEW perceptions in the case-study co…
Data schemas for multiple hazards, exposure and vulnerability
Purpose Using risk-related data often require a significant amount of upfront work to collect, extract and transform data. In addition, the lack of a consistent data structure hinders the development of tools that can be used with more than one set of data. The purpose of this paper is to report on an effort to solve these problems through the development of extensible, internally consistent schemas for risk-related data. Design/methodology/appro…
Wind-uplift fragility analysis of roof sheathing for cultural heritage assets in the Philippines
Probabilistic earthquake and flood loss assessment in the Middle East
Resilient communities through safer schools
Access to education is a basic human right. It is the 4th of the 17 Sustainable Development Goals (SDGs) and education is strongly associated with poverty reduction. Providing facilities to educate children requires construction of school buildings and rapid expansion of curricula. However, in the rush to fulfil the right to education, are children being put at risk? What attention is being given to structural safety during the construction of ne…
Satellite precipitation–based extreme event detection for flood index insurance
A model taxonomy for flood fragility and vulnerability assessment of buildings
Innovations in earthquake risk reduction for resilience
The Sendai Framework for Disaster Risk Reduction 2015–2030 (SFDRR) highlights the importance of scientific research, supporting the ‘availability and application of science and technology to decision making’ in disaster risk reduction (DRR). Science and technology can play a crucial role in the world's ability to reduce casualties, physical damage, and interruption to critical infrastructure due to natural hazards and their complex interactions. …
Scoring, selecting, and developing physical impact models for multi-hazard risk assessment
This study focuses on scoring, selecting, and developing physical fragility (i.e., the probability of reaching or exceeding a certain damage state given a specific hazard intensity) and/or vulnerability (i.e., the probability of impact - or consequence - given a specific hazard intensity) models for assets of interest, with particular emphasis on buildings. Given a set of multiple relevant hazards for a selected case-study region, the proposed pr…
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…
Assessing the potential implementation of earthquake early warning for schools in the Patras region, Greece
Earthquake early warning (EEW) is currently deemed a credible approach to seismic resilience enhancement in modern societies, especially if part of a more holistic earthquake mitigation strategy involving other risk reduction tools such as structural upgrading/retrofit. Yet, there remains a strong need to 1) assess the feasibility of EEW in various seismotectonic contexts, considering specific target applications/end users; and 2) develop next-ge…
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…
Interdisciplinarity in practice
The concept of disaster risk is cross-disciplinary by nature and reducing disaster risk has become of interest for various disciplines. Yet, moving from a collection of multiple disciplinary perspectives to integrated interdisciplinary disaster risk approaches remains a fundamental challenge. This paper reflects on the experience of a group of early-career researchers spanning physical scientists, engineers and social scientists from different or…
Design and assessment of pro-poor financial soft policies for expanding cities
Recent major earthquake disasters have highlighted the effectiveness of financial soft policies (e.g., earthquake insurance) in transferring seismic risk away from those directly impacted and complementing ‘hard’ disaster risk mitigation measures (e.g., structural retrofit). However, the benefits of existing financial soft policies are often not guaranteed. This may be attributed to: (1) their low penetration rate (e.g., in the case of earthquake…
Future exposure modelling for risk-informed decision making in urban planning
Population increases and related urban expansion are projected to occur in various parts of the world over the coming decades. These future changes to the urban fabric could fundamentally alter the exposure to natural hazards and the associated vulnerability of people and the built environment with which they interact. Thus, modelling, quantifying, and reducing future urban disaster risk require forward-looking insights that capture the dynamic f…
A state-of-the-art decision-support environment for risk-sensitive and pro-poor urban planning and design in Tomorrow's cities
In this Special Issue introductory paper, we present the Tomorrow's Cities Decision Support Environment (TCDSE). As the negative impacts of natural hazards continue to escalate around the world due to increasing populations, climate change, and rapid urbanisation (among other factors and processes), there is an urgent requirement to develop structured and operational approaches towards multi-hazard risk-informed decision making on urban planning …
Physics-based simulations of multiple natural hazards for risk-sensitive planning and decision making in expanding urban regions
Rapid urban expansion in many parts of the world is leading to increased exposure to natural hazards, exacerbated by climate change. The use of physics-based models of natural hazards in risk-informed planning and decision-making frameworks may provide an improved understanding of site-specific hazard scenarios, allowing various decision makers to more accurately consider the consequences of their decisions on risks in future development. We pres…
Integrating earthquake early warnings into business continuity and organisational resilience
Earthquake early warning (EEW) is becoming a popular tool for mitigating earthquake-induced losses. However, the current literature separates EEW technical components and their operational and behavioural implications. This paper investigates how EEW can be integrated into business continuity practices, organisational resilience, and disaster risk reduction (DRR). A mixed methods approach is applied to analyse EEW perceptions in the case-study co…
Household Displacement and Return in Disasters
Household displacement following disasters has become endemic in many areas worldwide, affecting at least 265 million people between 2008 and 2018. Although this figure includes short-term and potentially life-saving evacuations, there is ample evidence that not all households return after the emergency phase. Protracted displacement is associated with particularly negative consequences for the affected households and community. Yet, existing dat…
Seismic fragility assessment of regional building portfolios using machine learning and Poisson binomial distribution
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…
Unveiling vulnerabilities
Natural hazard exposure modelling involves compiling a comprehensive database with the elements at risk such as people, buildings, and infrastructure within a specified area of interest. Residential building (physical) exposure, in particular, is a critical component of disaster risk modelling and management. However, it cannot be examined in isolation from the socioeconomic characteristics of its residents, especially when estimating advanced, p…
Disaster displacement in context
Disaster risk assessment has traditionally emphasized physical damage and economic loss, which can overlook the uneven hardships that disasters impose on households. Human-centered metrics aim to help address these concerns, with household displacement increasingly gaining attention as an alternative risk metric that can inform broader and more equitable decisions. However, limited contextual information and long-term data preclude adequate under…
A Bespoke Approach to Facilitating Disaster Impact Quantification Using Locally Relevant Metrics
Disaster impact metrics (DIMs) are key outputs of natural-hazard risk models/assessments that provide a tangible way of communicating risk. However, typical DIMs are limited in that they tend to capture only direct damage/economic losses, are specifically designed for developed countries, account for just one snapshot in time, and are characterized for individual assets rather than systems. These shortcomings partially stem from a lack of underst…
Business (17 obras) · Engineering (16 obras) · Computer Science (14 obras) · Flood Risk Assessment and Management (12 obras) · Disaster Management and Resilience (11 obras) · Environmental Science (11 obras) · Geography (10 obras) · Environmental planning (9 obras) · Hazard (8 obras) · Computer security (7 obras)