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A Multiple Criteria Approach Defining Cultural Adaptive Reuse of Abandoned Buildings

  • Ana Sara CostaEmail author
  • Isabella M. Lami
  • Salvatore Greco
  • José Rui Figueira
  • José Borbinha
Chapter
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 274)

Abstract

In this chapter, we consider a decision problem related to cultural adaptive reuse of abandoned buildings in Turin, an Italian big city. We propose to handle this decision problem by considering several criteria and by using a recently proposed nominal classification method called Cat-SD (Categorization by Similarity–Dissimilarity). The case study is presented in detail in order to illustrate the advantages of the proposed method. The chapter starts by presenting an overview of the Cat-SD method. A description of the case study and the construction of the decision model is provided. Results and discussion are then presented. The chapter ends with some concluding remarks and directions for further research.

Notes

Acknowledgment

The authors would like to thank the two anonymous reviewers whose comments have helped to considerably improve this manuscript. This work was supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) with reference UID/CEC/50021/2013. The authors do thank Perla Fullone who collected and prepared the data sets for the case study. Ana Sara Costa acknowledges the financial support from Universidade de Lisboa, Instituto Superior Técnico, and CEG-IST (PhD Scholarship). Salvatore Greco wishes to acknowledge the funding by the research project “Data analytics for entrepreneurial ecosystems, sustainable development and wellbeing indices” of the Department of Economics and Business of the University of Catania. Salvatore Greco has also benefited from the fund “Chance” of the University of Catania. José Rui Figueira acknowledges the support from the Isambard Kingdom Brunel Scheme during a one-month stay (April–May 2018) at the Faculty of Business and Law, University of Portsmouth, U.K. and from the FCT grant SFRH/BSAB/139892/2018 during his stay at the Department of Mathematics of the University of Wuppertal, Germany.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ana Sara Costa
    • 1
    • 2
    Email author
  • Isabella M. Lami
    • 3
  • Salvatore Greco
    • 4
    • 5
  • José Rui Figueira
    • 1
  • José Borbinha
    • 2
  1. 1.CEG-IST, Instituto Superior TécnicoUniversidade de LisboaLisboaPortugal
  2. 2.INESC-ID, Instituto Superior TécnicoUniversidade de LisboaLisboaPortugal
  3. 3.Interuniversity Department of Regional and Urban Studies and PlanningPolitecnico di TorinoTorinoItaly
  4. 4.Department of Economics and BusinessUniversity of CataniaCataniaItaly
  5. 5.Portsmouth Business School, Centre of Operations Research and Logistics (CORL)University of PortsmouthPortsmouthUK

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