David Lallemant
Biographic Data
| ID | 7704171 |
|---|---|
| NAME | David Lallemant |
| GIVEN NAMES | David |
| FAMILY NAME | Lallemant |
| SIGNATURE | LALLEMANT D |
| AFFILIATIONS | Nanyang Technological University |
| ORCID | 0000-0001-5759-9972 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Developing empirical fragility functions for lava flow building damage
Fragility functions are vital tools in volcanic risk assessments to evaluate the probability of damage to structures at given hazard intensities. Traditionally, lava flow damage is assumed to be binary , whereby in contact with lava results in complete destruction and not in contact with lava remains undamaged. However, past studies present examples of structures exhibiting resistance to lava and not destruction . Developing empirical fragility f…
Seen and unseen vulnerabilities
As disasters disproportionately impact socially vulnerable groups, it is critical to ensure that sufficient, timely, and appropriate disaster recovery aid and efforts are channeled towards such groups. Ensuring that disaster impact assessments accurately account for how different communities are affected by the studied events is thus essential, as these assessments often inform and shape subsequent disaster recovery programs. However, it is not c…
Rebuilding historic urban neighborhoods after disasters
The 2015 Nepal earthquakes devastated the Kathmandu Valley and exposed the challenges of conserving andrestoring architectural heritage in historic urban neighborhoods damaged by disasters, while also trying to rapidly rebuild houses, revitalize livelihoods, and reduce vulnerabilities to future hazards. In this paper we use quantitative and qualitative data to investigate how traditional housing was transformed during the post-earthquake reconstr…
Efficacy of Damage Data Integration
Weeks after a disaster, crucial response and recovery decisions require information on the locations and scale of building damage. Geostatistical data integration methods estimate post-disaster damage by calibrating engineering forecasts or remote sensing-derived proxies with limited field measurements. These methods are meant to adapt to building damage and post-earthquake data sources that vary depending on location, but their performances acro…
Toward a critical technical practice in disaster risk management
Purpose Despite decades of social science research into disasters, practice in the field continues to be informed largely from a technical perspective. The outcome is often a perpetuation of vulnerability, as narrowly defined technical interventions fail to address or recognize the ethical, historical, political and structural complexities of real-world community vulnerability and its causes. The authors propose that addressing this does not requ…
Nature-based solutions for flood risk reduction
Flooding is the most frequent and damaging natural hazard globally. While nature-based solutions can reduce flood risk, they are not part of mainstream risk management. We develop a probabilistic risk analysis framework to quantify these benefits that (1) accounts for frequent small events and rarer large events, (2) can be applied to large basins and data-scarce contexts, and (3) quantifies economic benefits and reduction in people affected. Mea…
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Nature-based solutions for flood risk reduction
Flooding is the most frequent and damaging natural hazard globally. While nature-based solutions can reduce flood risk, they are not part of mainstream risk management. We develop a probabilistic risk analysis framework to quantify these benefits that (1) accounts for frequent small events and rarer large events, (2) can be applied to large basins and data-scarce contexts, and (3) quantifies economic benefits and reduction in people affected. Mea…
Efficacy of Damage Data Integration
Weeks after a disaster, crucial response and recovery decisions require information on the locations and scale of building damage. Geostatistical data integration methods estimate post-disaster damage by calibrating engineering forecasts or remote sensing-derived proxies with limited field measurements. These methods are meant to adapt to building damage and post-earthquake data sources that vary depending on location, but their performances acro…
Toward a critical technical practice in disaster risk management
Purpose Despite decades of social science research into disasters, practice in the field continues to be informed largely from a technical perspective. The outcome is often a perpetuation of vulnerability, as narrowly defined technical interventions fail to address or recognize the ethical, historical, political and structural complexities of real-world community vulnerability and its causes. The authors propose that addressing this does not requ…
Rebuilding historic urban neighborhoods after disasters
The 2015 Nepal earthquakes devastated the Kathmandu Valley and exposed the challenges of conserving andrestoring architectural heritage in historic urban neighborhoods damaged by disasters, while also trying to rapidly rebuild houses, revitalize livelihoods, and reduce vulnerabilities to future hazards. In this paper we use quantitative and qualitative data to investigate how traditional housing was transformed during the post-earthquake reconstr…
Seen and unseen vulnerabilities
As disasters disproportionately impact socially vulnerable groups, it is critical to ensure that sufficient, timely, and appropriate disaster recovery aid and efforts are channeled towards such groups. Ensuring that disaster impact assessments accurately account for how different communities are affected by the studied events is thus essential, as these assessments often inform and shape subsequent disaster recovery programs. However, it is not c…
Developing empirical fragility functions for lava flow building damage
Fragility functions are vital tools in volcanic risk assessments to evaluate the probability of damage to structures at given hazard intensities. Traditionally, lava flow damage is assumed to be binary , whereby in contact with lava results in complete destruction and not in contact with lava remains undamaged. However, past studies present examples of structures exhibiting resistance to lava and not destruction . Developing empirical fragility f…
Business (4 works) · Computer Science (4 works) · Geography (4 works) · Disaster Management and Resilience (3 works) · Engineering (3 works) · Environmental Science (3 works) · Political science (3 works) · Computer security (2 works) · Disaster risk reduction (2 works) · Environmental planning (2 works)