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| DOI | 10.5194/NHESS-22-2857-2022 | ||||
| Año | 2022 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Evacuation is the most important and effective method to save human lives during a tsunami. In this respect, challenges exist in developing quantitative analyses of the relationships between the evacuation potential and the built-environment and geographical attributes of coastal locations. This paper proposes a computer-based modelling approach (including inundation, evacuation, and built-environment metrics), followed by multivariate regressive analysis, to estimate how those attributes might influence the expected tsunami death ratios of seven Chilean coastal cities. We obtained, for the examined variables, their average values to different thresholds of the death ratio. Also, our statistical analysis allowed us to compare the relative importance of each metric, showing that the maximum flood, the straightness of the street network, the total route length, and the travel time can have a significant impact on the expected death ratios. Moreover, we suggest that these results could lead to spatial planning guidelines for developing new urban areas into exposed territories (if this expansion cannot be restricted or discouraged) or retrofitting existing ones, with the final aim of enhancing evacuation and therefore increasing resilience. Copyright:
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | LEON-DEL PEDREGAL, JORGE ENRIQUE | Hombre |
Universidad Técnica Federico Santa María - Chile
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| 2 | GUBLER-LABAYRU, ALEJANDRA | Mujer |
Centro de Investigación para la Gestión Integrada del Riesgo de Desastres (CIGIDEN) - Chile
Centro Nacional de Investigacion para la Gestion Integrada de Desastres Naturales - Chile |
| 3 | Ogueda, Alonso | Hombre |
George Mason University - Estados Unidos
George Mason Univ - Estados Unidos |
| Fuente |
|---|
| Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT) |
| CIGIDEN |
| Fondo Nacional de Desarrollo Científico y Tecnológico |
| Research Center for Integrated Disaster Risk Management (CIGIDEN) |
| Research Center for Integrated Disaster Risk Management |
| Agencia Nacional de Investigacion y Desarrollo (ANID) |
| Agencia Nacional de Investigación y Desarrollo |
| Agradecimiento |
|---|
| This research was funded by the Agencia Nacional de Investigación y Desarrollo (ANID) and Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT; grant nos. 11170024 and 1210184) and by the Research Center for Integrated Disaster Risk Management (CIGIDEN; grant no. ANID/FONDAP/15110017; Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias). |
| This research was funded by the Agencia Nacional de Investigacion y Desarrollo (ANID) and Fondo Nacional de Desarrollo Cientifico y Tecnologico (FONDECYT; grant nos. 11170024 and 1210184) and by the Research Center for Integrated Disaster Risk Management (CIGIDEN; grant no. ANID/FONDAP/15110017; Fondo de Financiamiento de Centros de Investigacion en Areas Prioritarias). |