The new methods for rapid exposure and seismic vulnerability assessment. How do they adapt to different scenarios?

Torres Fernandez, Yolanda and Arranz Justel, Jose Juan and Martinez Cuevas, Sandra and Gaspar Escribano, Jorge Miguel and Benito Oterino, Maria Belen and Staller Vazquez, Alejandra and Gómez Doménech, Igor (2019). The new methods for rapid exposure and seismic vulnerability assessment. How do they adapt to different scenarios?. "Proceedings, 2019, CIGeo 2019", v. 19 (n. 1); pp. 14-17. ISSN 2504-3900. https://doi.org/10.3390/proceedings2019019014.

Description

Title: The new methods for rapid exposure and seismic vulnerability assessment. How do they adapt to different scenarios?
Author/s:
  • Torres Fernandez, Yolanda
  • Arranz Justel, Jose Juan
  • Martinez Cuevas, Sandra
  • Gaspar Escribano, Jorge Miguel
  • Benito Oterino, Maria Belen
  • Staller Vazquez, Alejandra
  • Gómez Doménech, Igor
Item Type: Article
Título de Revista/Publicación: Proceedings, 2019, CIGeo 2019
Date: July 2019
ISSN: 2504-3900
Volume: 19
Subjects:
Freetext Keywords: Exposure; Earthquake vulnerability; LiDAR; Orthophoto; Machine learning
Faculty: E.T.S.I. en Topografía, Geodesia y Cartografía (UPM)
Department: Ingeniería Cartográfica y Topografía
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

We present a procedure for exposure and vulnerability evaluation that integrates LiDAR, orthophotos, and other ancillary datasets. It comprises three phases: (1) city stratification into homogeneous regions; (2) exposure database compilation; and (3) vulnerability allocation using predictive modelling. We have conducted two applications in Lorca (Spain) and Port-au-Price (Haiti) and here we compare them. Each phase of the method is subject to variations due mainly to data availability; however, it does not affect the final accuracy that remains high in both scenarios (over 80%). It is a flexible procedure that is able to adapt to the particular features of two different cities.

More information

Item ID: 63883
DC Identifier: https://oa.upm.es/63883/
OAI Identifier: oai:oa.upm.es:63883
DOI: 10.3390/proceedings2019019014
Official URL: https://eventos.upm.es/27154/detail/cigeo-2019.html
Deposited by: Memoria Investigacion
Deposited on: 04 Feb 2021 11:26
Last Modified: 10 Feb 2021 15:08
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