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International Conference on Computational Science and Its Applications

ICCSA 2018: Computational Science and Its Applications – ICCSA 2018 pp 3–17Cite as

Decision Support Model for Conservation, Reuse and Valorization of the Historic Cultural Heritage

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10962))

Abstract

In the last twenty years the policies of conservation of cultural heritage have become central policies among the European community. This is due to the importance attributed to the use of heritage as cultural capital and as a potential factor for tourism; another reason is represented by the objective of supporting the importance of cultural values for the identity of the territories, for its intrinsic value and as an investment for the cultural, social and economic development.

Starting from the application of the Discounted Cash-Flow Analysis, the study support the public decision to locate the best appropriate use (Highest and Best Use) relating to the conservation and reuse of a historic building located in Southern (Italy).

Different scenarios are considered and evaluated from the point of view of the public and private convenience considering the Internal Rate of Return and the Net Present Value indicators. The final results are also verified by means of specific sensitivity analyses that allow the validity of the proposed model to be tested.

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Acknowledgements

The work must be attributed in equal parts to the authors.

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Authors and Affiliations

  1. Mediterranea University of Reggio Calabria, Reggio Calabria, Italy

    Lucia Della Spina & Francesco Calabrò

Authors
  1. Lucia Della Spina
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  2. Francesco Calabrò
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Corresponding author

Correspondence to Lucia Della Spina .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka shi, Fukuoka, Japan

    Bernady O. Apduhan

  9. Politecnico di Bari, Bari, Italy

    Eufemia Tarantino

  10. Myongji University, Yongin, Korea (Republic of)

    Yeonseung Ryu

Appendices

Appendix 1

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Della Spina, L., Calabrò, F. (2018). Decision Support Model for Conservation, Reuse and Valorization of the Historic Cultural Heritage. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10962. Springer, Cham. https://doi.org/10.1007/978-3-319-95168-3_1

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  • DOI: https://doi.org/10.1007/978-3-319-95168-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95167-6

  • Online ISBN: 978-3-319-95168-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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