Seismic risk assessment of hospitals in Lima city using GIS tools

Sandra Santa-Cruz; Juan Palomino; Nicola Liguori; Marco Vona; Rodrigo Tamayo

doi:10.1007/978-3-319-62398-6_25

Seismic risk assessment of hospitals in Lima city using GIS tools

Sandra Santa-Cruz, Juan Palomino, Nicola Liguori, Marco Vona, Rodrigo Tamayo

Sección de Ingeniería Civil

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

9 Citas (Scopus)

Resumen

In this work, seismic risk assessment of hospitals in Lima city is presented. The aim of this paper is to evaluate the seismic risk of the Lima’s health system at Metropolitan scale. Seismic Risk Analysis has been carried out utilizing the Comprehensive Approach for Probabilistic Risk Assessment methodology (CAPRA). Geographic Information System (GIS) tools have been used to model the risk components: hazard, exposure and vulnerability. A total of 41 hospitals have been evaluated in order to obtain risk indicators in terms of economic losses. The results show that after an 8.2 magnitude earthquake with an epicenter in the coast of Lima, 85% of hospital buildings have more than 10% of structural damage. Furthermore, the expected annual loss (EAL) is 2% of the replacement value, which is high and uncompetitive compared with the values of the insurance sector market. This study seeks to understand and evaluate the hospitals seismic risk at metropolitan level in order to define measures, priorities and actions for the future development of Lima’s health system.

Idioma original	Inglés
Título de la publicación alojada	Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017
Editores	Giuseppe Borruso, Alfredo Cuzzocrea, Bernady O. Apduhan, Ana Maria A.C. Rocha, David Taniar, Sanjay Misra, Osvaldo Gervasi, Carmelo M. Torre, Elena Stankova, Beniamino Murgante
Editorial	Springer Verlag
Páginas	354-367
Número de páginas	14
ISBN (versión impresa)	9783319623979
DOI	https://doi.org/10.1007/978-3-319-62398-6_25
Estado	Publicada - 2017
Evento	17th International Conference on Computational Science and Its Applications, ICCSA 2017 - Trieste, Italia Duración: 3 jul. 2017 → 6 jul. 2017

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	10406 LNCS
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conferencia

Conferencia	17th International Conference on Computational Science and Its Applications, ICCSA 2017
País/Territorio	Italia
Ciudad	Trieste
Período	3/07/17 → 6/07/17

ODS de las Naciones Unidas

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10.1007/978-3-319-62398-6_25

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Santa-Cruz, S., Palomino, J., Liguori, N., Vona, M., & Tamayo, R. (2017). Seismic risk assessment of hospitals in Lima city using GIS tools. En G. Borruso, A. Cuzzocrea, B. O. Apduhan, A. M. A. C. Rocha, D. Taniar, S. Misra, O. Gervasi, C. M. Torre, E. Stankova, & B. Murgante (Eds.), Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017 (pp. 354-367). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10406 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-62398-6_25

Santa-Cruz, Sandra ; Palomino, Juan ; Liguori, Nicola et al. / Seismic risk assessment of hospitals in Lima city using GIS tools. Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. editor / Giuseppe Borruso ; Alfredo Cuzzocrea ; Bernady O. Apduhan ; Ana Maria A.C. Rocha ; David Taniar ; Sanjay Misra ; Osvaldo Gervasi ; Carmelo M. Torre ; Elena Stankova ; Beniamino Murgante. Springer Verlag, 2017. pp. 354-367 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d88508d56af84ca5a50ba0055d655779,

title = "Seismic risk assessment of hospitals in Lima city using GIS tools",

abstract = "In this work, seismic risk assessment of hospitals in Lima city is presented. The aim of this paper is to evaluate the seismic risk of the Lima{\textquoteright}s health system at Metropolitan scale. Seismic Risk Analysis has been carried out utilizing the Comprehensive Approach for Probabilistic Risk Assessment methodology (CAPRA). Geographic Information System (GIS) tools have been used to model the risk components: hazard, exposure and vulnerability. A total of 41 hospitals have been evaluated in order to obtain risk indicators in terms of economic losses. The results show that after an 8.2 magnitude earthquake with an epicenter in the coast of Lima, 85% of hospital buildings have more than 10% of structural damage. Furthermore, the expected annual loss (EAL) is 2% of the replacement value, which is high and uncompetitive compared with the values of the insurance sector market. This study seeks to understand and evaluate the hospitals seismic risk at metropolitan level in order to define measures, priorities and actions for the future development of Lima{\textquoteright}s health system.",

keywords = "Economic losses, Exposure, GIS, Public infrastructure, Seismic risk assessment",

author = "Sandra Santa-Cruz and Juan Palomino and Nicola Liguori and Marco Vona and Rodrigo Tamayo",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 17th International Conference on Computational Science and Its Applications, ICCSA 2017 ; Conference date: 03-07-2017 Through 06-07-2017",

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doi = "10.1007/978-3-319-62398-6_25",

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editor = "Giuseppe Borruso and Alfredo Cuzzocrea and Apduhan, {Bernady O.} and Rocha, {Ana Maria A.C.} and David Taniar and Sanjay Misra and Osvaldo Gervasi and Torre, {Carmelo M.} and Elena Stankova and Beniamino Murgante",

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Santa-Cruz, S, Palomino, J, Liguori, N, Vona, M & Tamayo, R 2017, Seismic risk assessment of hospitals in Lima city using GIS tools. En G Borruso, A Cuzzocrea, BO Apduhan, AMAC Rocha, D Taniar, S Misra, O Gervasi, CM Torre, E Stankova & B Murgante (eds.), Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10406 LNCS, Springer Verlag, pp. 354-367, 17th International Conference on Computational Science and Its Applications, ICCSA 2017, Trieste, Italia, 3/07/17. https://doi.org/10.1007/978-3-319-62398-6_25

Seismic risk assessment of hospitals in Lima city using GIS tools. / Santa-Cruz, Sandra; Palomino, Juan; Liguori, Nicola et al.
Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. ed. / Giuseppe Borruso; Alfredo Cuzzocrea; Bernady O. Apduhan; Ana Maria A.C. Rocha; David Taniar; Sanjay Misra; Osvaldo Gervasi; Carmelo M. Torre; Elena Stankova; Beniamino Murgante. Springer Verlag, 2017. p. 354-367 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10406 LNCS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Seismic risk assessment of hospitals in Lima city using GIS tools

AU - Santa-Cruz, Sandra

AU - Palomino, Juan

AU - Liguori, Nicola

AU - Vona, Marco

AU - Tamayo, Rodrigo

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - In this work, seismic risk assessment of hospitals in Lima city is presented. The aim of this paper is to evaluate the seismic risk of the Lima’s health system at Metropolitan scale. Seismic Risk Analysis has been carried out utilizing the Comprehensive Approach for Probabilistic Risk Assessment methodology (CAPRA). Geographic Information System (GIS) tools have been used to model the risk components: hazard, exposure and vulnerability. A total of 41 hospitals have been evaluated in order to obtain risk indicators in terms of economic losses. The results show that after an 8.2 magnitude earthquake with an epicenter in the coast of Lima, 85% of hospital buildings have more than 10% of structural damage. Furthermore, the expected annual loss (EAL) is 2% of the replacement value, which is high and uncompetitive compared with the values of the insurance sector market. This study seeks to understand and evaluate the hospitals seismic risk at metropolitan level in order to define measures, priorities and actions for the future development of Lima’s health system.

AB - In this work, seismic risk assessment of hospitals in Lima city is presented. The aim of this paper is to evaluate the seismic risk of the Lima’s health system at Metropolitan scale. Seismic Risk Analysis has been carried out utilizing the Comprehensive Approach for Probabilistic Risk Assessment methodology (CAPRA). Geographic Information System (GIS) tools have been used to model the risk components: hazard, exposure and vulnerability. A total of 41 hospitals have been evaluated in order to obtain risk indicators in terms of economic losses. The results show that after an 8.2 magnitude earthquake with an epicenter in the coast of Lima, 85% of hospital buildings have more than 10% of structural damage. Furthermore, the expected annual loss (EAL) is 2% of the replacement value, which is high and uncompetitive compared with the values of the insurance sector market. This study seeks to understand and evaluate the hospitals seismic risk at metropolitan level in order to define measures, priorities and actions for the future development of Lima’s health system.

KW - Economic losses

KW - Exposure

KW - GIS

KW - Public infrastructure

KW - Seismic risk assessment

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U2 - 10.1007/978-3-319-62398-6_25

DO - 10.1007/978-3-319-62398-6_25

M3 - Conference contribution

AN - SCOPUS:85026778874

SN - 9783319623979

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017

A2 - Borruso, Giuseppe

A2 - Cuzzocrea, Alfredo

A2 - Apduhan, Bernady O.

A2 - Rocha, Ana Maria A.C.

A2 - Taniar, David

A2 - Misra, Sanjay

A2 - Gervasi, Osvaldo

A2 - Torre, Carmelo M.

A2 - Stankova, Elena

A2 - Murgante, Beniamino

PB - Springer Verlag

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Santa-Cruz S, Palomino J, Liguori N, Vona M, Tamayo R. Seismic risk assessment of hospitals in Lima city using GIS tools. En Borruso G, Cuzzocrea A, Apduhan BO, Rocha AMAC, Taniar D, Misra S, Gervasi O, Torre CM, Stankova E, Murgante B, editores, Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Springer Verlag. 2017. p. 354-367. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-62398-6_25

Seismic risk assessment of hospitals in Lima city using GIS tools

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