On the Seismic Vulnerability Assessment of Urban Areas Using Census Data: The Lisbon Metropolitan Area as a Pilot Study Area
| Autor(en): |
Maria Xofi
(Institute for Sustainability and Innovation in Structural Engineering (ISISE), Department of Civil Engineering, University of Minho, Guimaraes, Portugal)
Tiago Miguel Ferreira
(School of Engineering, College of Arts, Technology and Environment (CATE), University of the West of England (UWE Bristol), Bristol, UK)
José Carlos Domingues
(Institute for Sustainability and Innovation in Structural Engineering (ISISE), Department of Civil Engineering, University of Minho, Guimaraes, Portugal)
Pedro Pinto Santos
(Centre for Geographical Studies, Institute of Geography and Spatial Planning (IGOT), Associated Laboratory TERRA, University of Lisbon, Lisbon, Portugal)
Susana Pereira
(Centre for Geographical Studies, Institute of Geography and Spatial Planning (IGOT), Associated Laboratory TERRA, University of Lisbon, Lisbon, Portugal)
Sérgio C. Oliveira
(Centre for Geographical Studies, Institute of Geography and Spatial Planning (IGOT), Associated Laboratory TERRA, University of Lisbon, Lisbon, Portugal)
Eusébio Reis
(Centre for Geographical Studies, Institute of Geography and Spatial Planning (IGOT), Associated Laboratory TERRA, University of Lisbon, Lisbon, Portugal)
José Luís Zêzere
(Centre for Geographical Studies, Institute of Geography and Spatial Planning (IGOT), Associated Laboratory TERRA, University of Lisbon, Lisbon, Portugal)
Ricardo A. C. Garcia
(Centre for Geographical Studies, Institute of Geography and Spatial Planning (IGOT), Associated Laboratory TERRA, University of Lisbon, Lisbon, Portugal)
Paulo B. Lourenço
(Institute for Sustainability and Innovation in Structural Engineering (ISISE), Department of Civil Engineering, University of Minho, Guimaraes, Portugal)
|
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Journal of Earthquake Engineering, April 2023, n. 1, v. 28 |
| Seite(n): | 1-24 |
| DOI: | 10.1080/13632469.2023.2197078 |
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Datenseite - Reference-ID
10726243 - Veröffentlicht am:
30.05.2023 - Geändert am:
14.01.2024
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