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The Real Estate Risk Assessment: An Innovative Methodology for Supporting Public and Private Subjects Involved into Sustainable Urban Interventions

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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

Projects carried out under Public-Private Partnership (PPP) forms are increasingly being used for construction, new infrastructure implementation, urban redevelopment operations and more general land interventions. PPP projects, due to their complexity, are characterized by risks that undermine their success, for this reason risk assessment models for PPP projects are essential to their successful implementation. In this context, the research proposes an innovative real estate risk assessment methodology for supporting the Public Administration and the Private Entrepreneur involved into PPP projects. The research proposes an ex-ante real estate risk assessment methodology, based on the multi-criteria Analytic Hierarchy Process (AHP) technique that can be used at different territorial scales and by both public and private parties involved in urban transformations projects. The construction of the risk index is obtained through the logical-operative framework that consists into a protocol of 7 ordered and sequential phases. The methodology turns out to be flexible and reproducible and allows for parallel analysis of qualitative and quantitative aspects that in terms of risk undermine the success of projects.

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Author information

Authors and Affiliations

  1. Department of Civil, Environmental, Land, Construction and Chemistry Engineering, Polytechnic University of Bari, 70126, Bari, Italy

    Pierluigi Morano & Debora Anelli

  2. Department of Architecture and Design, “Sapienza” University of Rome, 00196, Rome, Italy

    Francesco Tajani & Antonella Roma

Authors
  1. Pierluigi Morano
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  2. Debora Anelli
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  3. Francesco Tajani
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  4. Antonella Roma
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Corresponding author

Correspondence to Debora Anelli .

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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Morano, P., Anelli, D., Tajani, F., Roma, A. (2023). The Real Estate Risk Assessment: An Innovative Methodology for Supporting Public and Private Subjects Involved into Sustainable Urban Interventions. 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_27

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  • DOI: https://doi.org/10.1007/978-3-031-37120-2_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37119-6

  • Online ISBN: 978-3-031-37120-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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