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

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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

6 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaComputational Science and Its Applications - ICCSA 2017 - 17th International Conference, 2017
EditoresAlfredo Cuzzocrea, Ana Maria A.C. Rocha, Osvaldo Gervasi, Carmelo M. Torre, David Taniar, Beniamino Murgante, Sanjay Misra, Bernady O. Apduhan, Elena Stankova, Giuseppe Borruso
EditorialSpringer Verlag
Páginas310-325
Número de páginas16
ISBN (versión impresa)9783319623948
DOI
EstadoPublicada - 2017
Evento17th International Conference on Computational Science and Its Applications, ICCSA 2017 - Trieste, Italia
Duración: 3 jul. 20176 jul. 2017

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen10405
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia17th International Conference on Computational Science and Its Applications, ICCSA 2017
País/TerritorioItalia
CiudadTrieste
Período3/07/176/07/17

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