Stéphane Guerrier
Biographic Data
| ID | 1341366 |
|---|---|
| NAME | Stéphane Guerrier |
| GIVEN NAMES | Stéphane |
| FAMILY NAME | Guerrier |
| SIGNATURE | GUERRIER S |
| AFFILIATIONS | University of Geneva |
| ORCID | 0000-0003-0002-8794 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Empirical Predictive Modeling Approach to Quantifying Social Vulnerability to Natural Hazards
Conventionally, natural hazard scholars quantify social vulnerability based on social indicators to manifest the extent to which locational communities are susceptible to adverse impacts of natural hazard events and are prone to limited or delayed recoveries. They usually overlook the different geographical distributions of social vulnerability at different hazard intensities and in distinct response and recovery phases, however. In addition, con…
Worldwide Predictions of Earthquake Casualty Rates with Seismic Intensity Measure and Socioeconomic Data
This paper presents a fragility-based Bayesian formulation to predict earthquake casualty rates for countries worldwide. The earthquake casualty rate of a community is defined as the probability that a person in the community is killed or injured given an intensity measure of the earthquake at the site of the community. Casualty data of 902 earthquakes worldwide from 2013 to 2017, information on population distributions, and the national socioeco…
Empirical Predictive Modeling Approach to Quantifying Social Vulnerability to Natural Hazards
Conventionally, natural hazard scholars quantify social vulnerability based on social indicators to manifest the extent to which locational communities are susceptible to adverse impacts of natural hazard events and are prone to limited or delayed recoveries. They usually overlook the different geographical distributions of social vulnerability at different hazard intensities and in distinct response and recovery phases, however. In addition, con…
Worldwide Predictions of Earthquake Casualty Rates with Seismic Intensity Measure and Socioeconomic Data
This paper presents a fragility-based Bayesian formulation to predict earthquake casualty rates for countries worldwide. The earthquake casualty rate of a community is defined as the probability that a person in the community is killed or injured given an intensity measure of the earthquake at the site of the community. Casualty data of 902 earthquakes worldwide from 2013 to 2017, information on population distributions, and the national socioeco…
Empirical Predictive Modeling Approach to Quantifying Social Vulnerability to Natural Hazards
Conventionally, natural hazard scholars quantify social vulnerability based on social indicators to manifest the extent to which locational communities are susceptible to adverse impacts of natural hazard events and are prone to limited or delayed recoveries. They usually overlook the different geographical distributions of social vulnerability at different hazard intensities and in distinct response and recovery phases, however. In addition, con…
Disaster Management and Resilience (2 works) · Hazard (2 works) · Mathematics (2 works) · Statistics (2 works) · Agricultural risk and resilience (1 works) · Climate change impacts on agriculture (1 works) · Computer Science (1 works) · Computer security (1 works) · Damages (1 works) · Data set (1 works)