Spatial analysis and ranking for retrofitting of the school network in lima, Peru

Angelo Anelli; Sandra Santa-Cruz; Marco Vona; Michelangelo Laterza

doi:10.1007/978-3-319-62395-5_22

Spatial analysis and ranking for retrofitting of the school network in lima, Peru

Angelo Anelli, Sandra Santa-Cruz, Marco Vona, Michelangelo Laterza

Sección de Ingeniería Civil

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

6 Scopus citations

Abstract

Retrofitting and management strategies of existing buildings are actually a crucial topic. In this work, an approach based on GIS and MCDM method has been used in order to define a retrofitting ranking for seismic risk management. The main goal is to define a framework based on a multidisciplinary approach. The proposed procedure can be used in different ways and applications. It can be the basis of seismic risk mitigation strategies which are a typical problem of public administrations. Due to both the amount of essential buildings that require seismic retrofitting and the restricted economic availability, it is necessary to prioritize interventions on large territorial scale in order to optimize the allocation of available economic resources and ensure an efficient seismic risk mitigation. The paper provides a simple and rational seismic risk mitigation policy in order to consider the possible variables or disciplines that are not generally integrated in studies of risk (not only seismic) on a large territorial scale.

Original language	English
Title of host publication	Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017
Editors	Alfredo Cuzzocrea, Ana Maria A.C. Rocha, Osvaldo Gervasi, Carmelo M. Torre, David Taniar, Beniamino Murgante, Sanjay Misra, Bernady O. Apduhan, Elena Stankova, Giuseppe Borruso
Publisher	Springer Verlag
Pages	310-325
Number of pages	16
ISBN (Print)	9783319623948
DOIs	https://doi.org/10.1007/978-3-319-62395-5_22
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	10405
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

Keywords

GIS
Ranking list
Seismic risk mitigation strategies

Access to Document

10.1007/978-3-319-62395-5_22

Cite this

Anelli, A., Santa-Cruz, S., Vona, M., & Laterza, M. (2017). Spatial analysis and ranking for retrofitting of the school network in lima, Peru. In A. Cuzzocrea, A. M. A. C. Rocha, O. Gervasi, C. M. Torre, D. Taniar, B. Murgante, S. Misra, B. O. Apduhan, E. Stankova, & G. Borruso (Eds.), Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017 (pp. 310-325). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10405). Springer Verlag. https://doi.org/10.1007/978-3-319-62395-5_22

Anelli, Angelo ; Santa-Cruz, Sandra ; Vona, Marco et al. / Spatial analysis and ranking for retrofitting of the school network in lima, Peru. Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. editor / Alfredo Cuzzocrea ; Ana Maria A.C. Rocha ; Osvaldo Gervasi ; Carmelo M. Torre ; David Taniar ; Beniamino Murgante ; Sanjay Misra ; Bernady O. Apduhan ; Elena Stankova ; Giuseppe Borruso. Springer Verlag, 2017. pp. 310-325 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Spatial analysis and ranking for retrofitting of the school network in lima, Peru",

abstract = "Retrofitting and management strategies of existing buildings are actually a crucial topic. In this work, an approach based on GIS and MCDM method has been used in order to define a retrofitting ranking for seismic risk management. The main goal is to define a framework based on a multidisciplinary approach. The proposed procedure can be used in different ways and applications. It can be the basis of seismic risk mitigation strategies which are a typical problem of public administrations. Due to both the amount of essential buildings that require seismic retrofitting and the restricted economic availability, it is necessary to prioritize interventions on large territorial scale in order to optimize the allocation of available economic resources and ensure an efficient seismic risk mitigation. The paper provides a simple and rational seismic risk mitigation policy in order to consider the possible variables or disciplines that are not generally integrated in studies of risk (not only seismic) on a large territorial scale.",

keywords = "GIS, Ranking list, Seismic risk mitigation strategies",

author = "Angelo Anelli and Sandra Santa-Cruz and Marco Vona and Michelangelo Laterza",

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 = "10.1007/978-3-319-62395-5_22",

language = "English",

isbn = "9783319623948",

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

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pages = "310--325",

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

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Anelli, A, Santa-Cruz, S, Vona, M & Laterza, M 2017, Spatial analysis and ranking for retrofitting of the school network in lima, Peru. in A Cuzzocrea, AMAC Rocha, O Gervasi, CM Torre, D Taniar, B Murgante, S Misra, BO Apduhan, E Stankova & G Borruso (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. 10405, Springer Verlag, pp. 310-325, 17th International Conference on Computational Science and Its Applications, ICCSA 2017, Trieste, Italy, 3/07/17. https://doi.org/10.1007/978-3-319-62395-5_22

Spatial analysis and ranking for retrofitting of the school network in lima, Peru. / Anelli, Angelo; Santa-Cruz, Sandra; Vona, Marco et al.
Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. ed. / Alfredo Cuzzocrea; Ana Maria A.C. Rocha; Osvaldo Gervasi; Carmelo M. Torre; David Taniar; Beniamino Murgante; Sanjay Misra; Bernady O. Apduhan; Elena Stankova; Giuseppe Borruso. Springer Verlag, 2017. p. 310-325 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10405).

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

TY - GEN

T1 - Spatial analysis and ranking for retrofitting of the school network in lima, Peru

AU - Anelli, Angelo

AU - Santa-Cruz, Sandra

AU - Vona, Marco

AU - Laterza, Michelangelo

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

PY - 2017

Y1 - 2017

N2 - Retrofitting and management strategies of existing buildings are actually a crucial topic. In this work, an approach based on GIS and MCDM method has been used in order to define a retrofitting ranking for seismic risk management. The main goal is to define a framework based on a multidisciplinary approach. The proposed procedure can be used in different ways and applications. It can be the basis of seismic risk mitigation strategies which are a typical problem of public administrations. Due to both the amount of essential buildings that require seismic retrofitting and the restricted economic availability, it is necessary to prioritize interventions on large territorial scale in order to optimize the allocation of available economic resources and ensure an efficient seismic risk mitigation. The paper provides a simple and rational seismic risk mitigation policy in order to consider the possible variables or disciplines that are not generally integrated in studies of risk (not only seismic) on a large territorial scale.

AB - Retrofitting and management strategies of existing buildings are actually a crucial topic. In this work, an approach based on GIS and MCDM method has been used in order to define a retrofitting ranking for seismic risk management. The main goal is to define a framework based on a multidisciplinary approach. The proposed procedure can be used in different ways and applications. It can be the basis of seismic risk mitigation strategies which are a typical problem of public administrations. Due to both the amount of essential buildings that require seismic retrofitting and the restricted economic availability, it is necessary to prioritize interventions on large territorial scale in order to optimize the allocation of available economic resources and ensure an efficient seismic risk mitigation. The paper provides a simple and rational seismic risk mitigation policy in order to consider the possible variables or disciplines that are not generally integrated in studies of risk (not only seismic) on a large territorial scale.

KW - GIS

KW - Ranking list

KW - Seismic risk mitigation strategies

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U2 - 10.1007/978-3-319-62395-5_22

DO - 10.1007/978-3-319-62395-5_22

M3 - Conference contribution

AN - SCOPUS:85027153760

SN - 9783319623948

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

SP - 310

EP - 325

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

A2 - Cuzzocrea, Alfredo

A2 - Rocha, Ana Maria A.C.

A2 - Gervasi, Osvaldo

A2 - Torre, Carmelo M.

A2 - Taniar, David

A2 - Murgante, Beniamino

A2 - Misra, Sanjay

A2 - Apduhan, Bernady O.

A2 - Stankova, Elena

A2 - Borruso, Giuseppe

PB - Springer Verlag

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

Y2 - 3 July 2017 through 6 July 2017

ER -

Anelli A, Santa-Cruz S, Vona M, Laterza M. Spatial analysis and ranking for retrofitting of the school network in lima, Peru. In Cuzzocrea A, Rocha AMAC, Gervasi O, Torre CM, Taniar D, Murgante B, Misra S, Apduhan BO, Stankova E, Borruso G, editors, Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017. Springer Verlag. 2017. p. 310-325. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-62395-5_22

Spatial analysis and ranking for retrofitting of the school network in lima, Peru

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