Gemma Cremen
Biographic Data
| ID | 6562020 |
|---|---|
| NAME | Gemma Cremen |
| GIVEN NAMES | Gemma |
| FAMILY NAME | Cremen |
| SIGNATURE | CREMEN G |
| AFFILIATIONS | University College London |
| ORCID | 0000-0002-6699-7312 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Capturing detailed human dependencies on the built environment for enriched natural-hazard risk assessments
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…
Tomorrow’s cities
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…
Prioritizing Urban Areas for the Deployment of Hyperlocal Flood Sensors Using Stakeholder Elicitation and Risk Analysis
This study develops a methodological framework to prioritize urban areas for the deployment of hyper-local, real-time flood-monitoring sensors. These sensors promise enhanced flood risk management in cities, where flood hazards can be highly localized. Given that the sensors provide data limited to specific locations, cities need to prioritize their deployment in areas that maximize the potential uses of the data, in line with the varied objectiv…
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…
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 …
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…
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. …
No prominent works on this page.
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…
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…
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 …
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…
Prioritizing Urban Areas for the Deployment of Hyperlocal Flood Sensors Using Stakeholder Elicitation and Risk Analysis
This study develops a methodological framework to prioritize urban areas for the deployment of hyper-local, real-time flood-monitoring sensors. These sensors promise enhanced flood risk management in cities, where flood hazards can be highly localized. Given that the sensors provide data limited to specific locations, cities need to prioritize their deployment in areas that maximize the potential uses of the data, in line with the varied objectiv…
Capturing detailed human dependencies on the built environment for enriched natural-hazard risk assessments
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…
Tomorrow’s cities
Business (8 works) · Engineering (8 works) · Disaster Management and Resilience (7 works) · Environmental planning (7 works) · Computer Science (6 works) · Environmental Science (6 works) · Flood Risk Assessment and Management (6 works) · Infrastructure Resilience and Vulnerability Analysis (5 works) · Geography (4 works) · Disaster risk reduction (3 works)