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A GIS Referenced Methodological Approach for the Brownfield Redevelopment

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14109))

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Abstract

In the perspective of a sustainable development of the urban territory, the aim of this research is to define a methodology for the characterization of a brownfield inventory, accessible by the government and the private investors to facilitate decision making, by reaching the needed information upon land capability, development incentives, public goals, interests and preferences, environmental concerns. This issue is very current, taking into account the numerous researches on the urban development of the cities and how the urban sprawl caused the industrial areas that initially existed on the city outskirts to become a part of the city center. This rapid growth motivates the governments and private investors to look at these abandoned industrial buildings as important assets. The research discusses a decision support framework and the benefits of access to geospatial databases in the decision-making process.

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Author information

Authors and Affiliations

  1. Department of History, Design and Restoration of Architecture, Sapienza University of Rome, 00186, Rome, Italy

    Alfonso Ippolito

  2. Department of Architecture, Faculty of Engineering, Ain Shams University, 11566, Cairo, Egypt

    Yasmine Selim

  3. Department of Architecture and Design, Sapienza University of Rome, 00196, Rome, Italy

    Francesco Tajani & Rossana Ranieri

  4. Department of Civil, Environmental, Land, Building Engineering and Chemistry(DICATECh), Polytechnic University of Bari, 70126, Bari, Italy

    Pierluigi Morano

Authors
  1. Alfonso Ippolito
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  2. Yasmine Selim
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  3. Francesco Tajani
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  4. Rossana Ranieri
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  5. Pierluigi Morano
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Corresponding author

Correspondence to Francesco Tajani .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Basilicata, Potenza, Italy

    Francesco Scorza

  6. University of Massachusetts Medical School, Worcester, MA, USA

    Yeliz Karaca

  7. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

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Ippolito, A., Selim, Y., Tajani, F., Ranieri, R., Morano, P. (2023). A GIS Referenced Methodological Approach for the Brownfield Redevelopment. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14109. Springer, Cham. https://doi.org/10.1007/978-3-031-37120-2_30

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  • DOI: https://doi.org/10.1007/978-3-031-37120-2_30

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