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International Conference on Computational Science and Its Applications

ICCSA 2018: Computational Science and Its Applications – ICCSA 2018 pp 84–99Cite as

Multi-Stakeholder Spatial Decision Analysis (M-SSDA) for a Culture-Led Regeneration Strategy

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

Abstract

The paper presents the elaboration of a culture-led regeneration strategy that is structured through a multi-dimensional and multi-stakeholder decision-making process for the Quartieri Spagnoli (QS), a historic district of the city of Naples (Italy). Beginning with an evaluative approach specific to the deliberative methods, a Multi-Stakeholder Spatial Decision Analysis (M-SSDA) was established. It consisted of three main phases: knowledge, elaboration and evaluation. In the first two phases, the economic, social and urban dynamics that characterise the district have been identified and explored through the selection of some spatial indicators represented with a Geographic Information System (GIS), and three possible alternative scenarios of urban regeneration have been elaborated. In the evaluation phase, a multi-criteria and multi-group assessment of the scenarios was carried out through the Analytic Network Process (ANP) method, and weights were assigned to the spatial indicators using the Weighted Linear Combination method. The result of the decision-making process makes it possible to identify the preferable culture-led regeneration scenario and to draw up a strategic map that identifies potential actions for the scenario implementation. The decision-making process, in its different phases and results, allows making explicit the components that significantly influence the local transformations and that could guide the interaction between the different involved stakeholders towards a shared common vision.

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Authors and Affiliations

  1. Department of Architecture, University of Naples Federico II, via Toledo 402, 80134, Naples, Italy

    Raffaella Amistà & Maria Cerreta

Authors
  1. Raffaella Amistà
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  2. Maria Cerreta
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Correspondence to Maria Cerreta .

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

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Amistà, R., Cerreta, M. (2018). Multi-Stakeholder Spatial Decision Analysis (M-SSDA) for a Culture-Led Regeneration Strategy. 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_6

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  • DOI: https://doi.org/10.1007/978-3-319-95168-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95167-6

  • Online ISBN: 978-3-319-95168-3

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