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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

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’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.

Original language	English
Title of host publication	Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017
Editors	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
Publisher	Springer Verlag
Pages	354-367
Number of pages	14
ISBN (Print)	9783319623979
DOIs	https://doi.org/10.1007/978-3-319-62398-6_25
State	Published - 2017
Event	17th International Conference on Computational Science and Its Applications, ICCSA 2017 - Trieste, Italy Duration: 3 Jul 2017 → 6 Jul 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10406 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Computational Science and Its Applications, ICCSA 2017
Country/Territory	Italy
City	Trieste
Period	3/07/17 → 6/07/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Economic losses
Exposure
GIS
Public infrastructure
Seismic risk assessment

Access to Document

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

Cite this

Santa-Cruz, S., Palomino, J., Liguori, N., Vona, M., & Tamayo, R. (2017). Seismic risk assessment of hospitals in Lima city using GIS tools. In 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",

year = "2017",

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

language = "English",

isbn = "9783319623979",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "354--367",

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",

booktitle = "Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017",

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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. in 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, Italy, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

UR - https://www.scopus.com/pages/publications/85026778874

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)

SP - 354

EP - 367

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

T2 - 17th International Conference on Computational Science and Its Applications, ICCSA 2017

Y2 - 3 July 2017 through 6 July 2017

ER -

Santa-Cruz S, Palomino J, Liguori N, Vona M, Tamayo R. Seismic risk assessment of hospitals in Lima city using GIS tools. In Borruso G, Cuzzocrea A, Apduhan BO, Rocha AMAC, Taniar D, Misra S, Gervasi O, Torre CM, Stankova E, Murgante B, editors, 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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