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Climate Change and Transformability Scenario Evaluation for Venice (Italy) Port-City Through ANP Method

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Computational Science and Its Applications -- ICCSA 2015 (ICCSA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9158))

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Abstract

The paper explores the consequences of resilience loss in some social-ecological components of Venice port-city in Italy and suggests integrated sustainable strategies on increasing their stress response capability. The urban model of Venice depends on two influential factors: the natural balance between land and water, and the social-economic dependence between mainland and islands. The authors adopt a broad framework of urban spaces and water environment, considering Venice as a complex regional unit, highly dynamic and sensitive. The adaptive balance historically reached by population and nature in Venice has been altered, because of a non-sustainable economic expansion, and tourism policy. The paper adopts a multi-dimensional approach, integrating the cognitive and evaluative dimensions with the technical and economic ones, in order to define possible strategies of action through Multi-Criteria Analysis and ANP method, able to play a strategic role in enhancing resilience at various scale.

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Author information

Authors and Affiliations

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

    Maria Cerreta, Daniele Cannatella, Giuliano Poli & Sabrina Sposito

Authors
  1. Maria Cerreta
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  2. Daniele Cannatella
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  3. Giuliano Poli
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  4. Sabrina Sposito
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Corresponding author

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, 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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Cerreta, M., Cannatella, D., Poli, G., Sposito, S. (2015). Climate Change and Transformability Scenario Evaluation for Venice (Italy) Port-City Through ANP Method. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9158. Springer, Cham. https://doi.org/10.1007/978-3-319-21410-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-21410-8_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21409-2

  • Online ISBN: 978-3-319-21410-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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