Roberto Gentile
Biographic Data
| ID | 9958717 |
|---|---|
| NAME | Roberto Gentile |
| GIVEN NAMES | Roberto |
| FAMILY NAME | Gentile |
| SIGNATURE | GENTILE R |
| AFFILIATIONS | Systemic Risk Centre |
| ORCID | 0000-0002-7682-4490 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Tomorrow's Cities risk agreement approach
Global disaster risk reduction in urban development frameworks calls for people-centred, participatory, and integrated approaches to addressing urban risk and building resilience. This paper presents a methodology that engages communities at risk and policy actors to assess scientifically projected impacts of multiple hazards on locally defined future urban scenarios and co-develop measures to reduce future hazard impacts. The methodology enables…
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…
Augmenting natural hazard exposure modelling using natural language processing
Natural hazard exposure modelling involves constructing databases that describe the ‘elements (people and built environment) exposed to some hazard in a selected location. These databases are often constructed using information from censuses, cadastral data, or satellite imagery. In this work, we suggest complementing hazard exposure modelling using an alternative and unconventional data source: the text components of building permits. The propos…
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…
Relative seismic and tsunami risk assessment for Stromboli Island (Italy)
An innovative method of estimating the relative risk of buildings exposed to seismic and tsunami hazards in volcanic islands is applied to Stromboli (Italy), a well-known stratovolcano affected by moderate earthquakes and mass-flow-induced tsunamis. The method uses a pre-existing quali-quantitative analysis to assess the relative risk indices of buildings, which provide comparative results useful for prioritisation purposes, in combination with a…
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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…
Relative seismic and tsunami risk assessment for Stromboli Island (Italy)
An innovative method of estimating the relative risk of buildings exposed to seismic and tsunami hazards in volcanic islands is applied to Stromboli (Italy), a well-known stratovolcano affected by moderate earthquakes and mass-flow-induced tsunamis. The method uses a pre-existing quali-quantitative analysis to assess the relative risk indices of buildings, which provide comparative results useful for prioritisation purposes, in combination with a…
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 …
Augmenting natural hazard exposure modelling using natural language processing
Natural hazard exposure modelling involves constructing databases that describe the ‘elements (people and built environment) exposed to some hazard in a selected location. These databases are often constructed using information from censuses, cadastral data, or satellite imagery. In this work, we suggest complementing hazard exposure modelling using an alternative and unconventional data source: the text components of building permits. The propos…
Tomorrow's Cities risk agreement approach
Global disaster risk reduction in urban development frameworks calls for people-centred, participatory, and integrated approaches to addressing urban risk and building resilience. This paper presents a methodology that engages communities at risk and policy actors to assess scientifically projected impacts of multiple hazards on locally defined future urban scenarios and co-develop measures to reduce future hazard impacts. The methodology enables…
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…
Computer Science (7 works) · Engineering (7 works) · Business (6 works) · Environmental planning (5 works) · Environmental Science (5 works) · Disaster Management and Resilience (4 works) · Flood Risk Assessment and Management (4 works) · Geography (4 works) · Artificial Intelligence (3 works) · Computer security (3 works)