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.
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Acknowledgments
This work has been partially completed thanks to the ELARCH project: Reference number 552129-EM-1-2014-1-IT-ERA MUNDUS-EMA21 funded with support of the European Commission. This document reflects the view only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
This work has been based on the Project 70244-0034: “Evaluación Probabilística del riesgo sísmico de escuelas y hospitales de la ciudad de Lima. Componente 2: Eva-luación probabilista del riesgo sísmico de locales escolares en la ciudad de Lima”. Coordinator Prof. Sandra Santa-Cruz.
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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: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10405. Springer, Cham. https://doi.org/10.1007/978-3-319-62395-5_22
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DOI: https://doi.org/10.1007/978-3-319-62395-5_22
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