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Community Resilience Analysis for the Formulation of a Seismic Mitigation Strategy at Inter-municipal Level

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Computational Science and Its Applications – ICCSA 2024 Workshops (ICCSA 2024)

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Abstract

In recent years, community resilience assessment has also become a central issue in earthquake risk mitigation. However, the application of resilience concepts is extremely complex. In the study of seismic risk, applications are highly multidisciplinary. Consequently, they are often incomplete or partial. Although new rigorous mathematical models have been developed, most applications are extremely complicated and susceptible to the input data and skill of the user. Even more so, applications to real large-scale contexts are much more complex than applications on a local scale or on single structures. New models and procedures are needed to apply resilience principles in the formulation of mitigation strategies at regional or sub-regional scales. In the present study, the impact of a highway on a set of communities is evaluated. The seismic resilience of communities is assessed by integrating the seismic performances of bridges and viaducts with those of the connected housing systems. The latter are estimated by modelling their physical damage with vulnerability curves for buildings. The main results are illustrated and discussed.

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Acknowledgments

This research was supported by the Italian Civil Protection Department within the project “ART. 11 ORD.780” and partially supported by 2020 MIUR PON R&I 2014–2020 Program (project MITIGO, ARS01_00964).

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Authors and Affiliations

  1. Italian National Research Council – IGAG, 00010, Montelibretti, Italy

    Angelo Anelli & Massimiliano Moscatelli

  2. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Marco Vona & Paolo Harabaglia

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  1. Angelo Anelli
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  2. Marco Vona
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  3. Paolo Harabaglia
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  4. Massimiliano Moscatelli
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The authors have no competing interests to declare that are relevant to the content of this article.

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Correspondence to Angelo Anelli .

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Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. School of Engineering, University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Department of Civil and Environmental Engineering and Architecture, University of Cagliari, Cagliari, Italy

    Chiara Garau

  4. Faculty of Information Technology, Clayton Campus, Monash University, Clayton, VIC, Australia

    David Taniar

  5. Algoritmi Research Centre, University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  6. Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy

    Maria Noelia Faginas Lago

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Anelli, A., Vona, M., Harabaglia, P., Moscatelli, M. (2024). Community Resilience Analysis for the Formulation of a Seismic Mitigation Strategy at Inter-municipal Level. In: Gervasi, O., Murgante, B., Garau, C., Taniar, D., C. Rocha, A.M.A., Faginas Lago, M.N. (eds) Computational Science and Its Applications – ICCSA 2024 Workshops. ICCSA 2024. Lecture Notes in Computer Science, vol 14816. Springer, Cham. https://doi.org/10.1007/978-3-031-65223-3_1

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