A Decision Support System for Cultural and Territorial Infrastructures: A Place-Based and Community-Driven Strategy in Inner Italy | SpringerLink
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A Decision Support System for Cultural and Territorial Infrastructures: A Place-Based and Community-Driven Strategy in Inner Italy

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

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Abstract

The study presents a methodological approach, characterized by scalability and replicability, aimed at developing a sustainable territorial strategy, supported by a Collaborative Spatial Decision Support System (CSDSS). The main objective is to elaborate a regeneration process for infrastructure and territorial contexts capable of stimulating situated actions within Inner Italy, where urban revitalisation processes grounded in the concept of community archives could be implemented. The CSDSS is tailored towards a place-based and community-driven strategy for the territory of Atena Lucana, in Southern Italy. It unfolds in three interconnected phases: first, a knowledge phase with a comprehensive understanding of the territory through the integration of various data types; second, an evaluative phase including multi-group analysis supported by the SOCRATES method and multi-criteria analysis employing the integration of QGIS and GeoTopsis methods; third, the data output with the formulation of a suitable strategy for territorial sustainability through collaborative decision-making processes.

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Acknowledgements

This study was carried out within the framework of GRINS - Growing Resilient, INclusive and Sustainable and received funding from the European Union Next-GenerationEU (NATIONAL RECOVERY AND RESILIENCE PLAN (NRRP), MISSION 4, COMPONENT 2, INVESTMENT 1.3 - D.D. 1558 11/10/2022, PE000018, Spoke 7 Territorial sustainability). This manuscript reflects solely the views and opinions of the authors, neither the European Union nor the European Commission can be held responsible (https://www.grins.it/progetto).

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Authors and Affiliations

  1. Department of Architecture (DiARC), University of Naples Federico II, Via Toledo 402, 80134, Naples, Italy

    Benedetta Grieco, Maria Somma, Maria Lucia Raiola, Sabrina Sacco, Piero Zizzania & Maria Cerreta

Authors
  1. Benedetta Grieco
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  2. Maria Somma
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  3. Maria Lucia Raiola
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  4. Sabrina Sacco
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  5. Piero Zizzania
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  6. Maria Cerreta
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Contributions

The authors jointly conceived and developed the approach and decided on the overall objective and structure of the paper: Conceptualization, B.G., M.S., M.R., S.S., P.Z., and M.C.; Methodology, B.G., M.S. and M.C.; Software, B.G., M.S.; Validation, B.G., M.S.; Formal Analysis, B.G., M.S.; Investigation, B.G., M.S., M.R., S.S., P.Z.; Data Curation, B.G., M.S.; Writing-Original Draft Preparation, B.G. and M.S; Writing-Review and Editing, B.G., M.S., M.R., S.S., P.Z., and M.C.; Visualization, B.G.and M.S; Supervision, M.C. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Maria Cerreta .

Editor information

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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Grieco, B., Somma, M., Raiola, M.L., Sacco, S., Zizzania, P., Cerreta, M. (2024). A Decision Support System for Cultural and Territorial Infrastructures: A Place-Based and Community-Driven Strategy in Inner Italy. 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 14820. Springer, Cham. https://doi.org/10.1007/978-3-031-65285-1_24

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  • DOI: https://doi.org/10.1007/978-3-031-65285-1_24

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