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International Conference on Computational Science and Its Applications

ICCSA 2015: Computational Science and Its Applications -- ICCSA 2015 pp 782–797Cite as

A Collaborative Multi-Criteria Spatial Decision Support System for Multifunctional Landscape Evaluation

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9157))

Abstract

The paper aims at the development of a Collaborative Multi-Criteria Spatial Decision Support System (C-MC SDSS) for the evaluation of multifunctional landscape according to a human smart perspective. The C-MC SDSS addresses landscape transformation and preservation processes, leading to consistent choices with the principles of local self-sustainable development, considering the decision-making environment as a heterogeneous field, where conflicting interests interplay. The methodological approach, implemented in the case study of the National Park of Cilento, Vallo di Diano and Alburni (Southern Italy) demonstrates that the inclusion of web-based data and common knowledge in MC-SDSSs is a major challenge. The multidimensional nature of the landscape evaluation requires a mutual understanding, communication and collaboration, allowing an expansion of the knowledge-base to sharpen questions and improving the quality of the decision process. The paper investigates potentials of a C-MC SDSS for supporting transparent and democratic decision processes, helpful in selecting landscape enhancement policies.

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Authors and Affiliations

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

    Raffaele Attardi, Maria Cerreta & Giuliano Poli

Authors
  1. Raffaele Attardi
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  2. Maria Cerreta
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  3. Giuliano Poli
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Corresponding author

Correspondence to Raffaele Attardi .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Canaanland, Nigeria

    Sanjay Misra

  4. University of Calgary, Calgary, Alberta, Canada

    Marina L. Gavrilova

  5. University of Minho, Braga, Portugal

    Ana Maria Alves Coutinho Rocha

  6. Polytechnic University, Bari, Italy

    Carmelo Torre

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

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Attardi, R., Cerreta, M., Poli, G. (2015). A Collaborative Multi-Criteria Spatial Decision Support System for Multifunctional Landscape Evaluation. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9157. Springer, Cham. https://doi.org/10.1007/978-3-319-21470-2_57

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  • DOI: https://doi.org/10.1007/978-3-319-21470-2_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21469-6

  • Online ISBN: 978-3-319-21470-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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