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Urban Slum Upgrading: A Model for Expeditious Estimation of the Cost of 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 14106))

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Abstract

More than a billion people around the world live in slums in undignified and precarious living conditions. These are places of high poverty characterized by overcrowding, poor housing facilities and inadequate access to basic services such as clean water, electricity and sanitation. Slums today testify to the two main challenges to human settlement development in this millennium: rapid urbanization and the urbanization of poverty. Slums, in fact, are the increasingly common solution of providing housing for low income-to people. Therefore, the phenomenon of slums is an important contemporary challenge that requires well-structured intervention programs aimed at poverty reduction and urban transformation. In light of the above and in line with the goals mentioned in both the Sustainable Development Goals (SDGs) and the New Urban Agenda (NUA), urban slum redevelopment interventions would make it possible to improve the quality of existing settlements, and reverse their decline, by transforming and making the spaces better, safer and more sustainable places where everyone can live and work. In this sense, the purpose of the work is to define possible intervention scenarios and characterize a model for the expeditious estimation of related construction costs. The model, which is based on a synthetic-comparative procedure, makes it possible to provide an economic reference that is useful in determining the amount of resources to be allocated for the urban upgrading of slums, a symbol of profound social inequality.

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Authors and Affiliations

  1. DICIV – Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy

    Federica Russo, Gabriella Maselli, Michele Vietri & Antonio Nesticò

Authors
  1. Federica Russo
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  2. Gabriella Maselli
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  3. Michele Vietri
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  4. Antonio Nesticò
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Contributions

The present work is to be attributed in equal parts to the four authors.

Corresponding author

Correspondence to Federica Russo .

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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Russo, F., Maselli, G., Vietri, M., Nesticò, A. (2023). Urban Slum Upgrading: A Model for Expeditious Estimation of the Cost of Interventions. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14106. Springer, Cham. https://doi.org/10.1007/978-3-031-37111-0_26

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  • DOI: https://doi.org/10.1007/978-3-031-37111-0_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37110-3

  • Online ISBN: 978-3-031-37111-0

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