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Assigning a house for refugees: an application of a multiple criteria nominal classification method

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Abstract

The paper proposes the use of a multiple criteria decision aiding (MCDA) nominal classification method to tackle a dramatic current social problem: the accommodation system for refugees. In recent years, the number of people in need of protection and assistance as a consequence of forced displacement has drastically increased. As many other European cities, Turin (Italy) offers to refugees temporary places for a limited time span, but they are insufficient and often inadequate. Meanwhile, there are several underused buildings that can potentially be used to cover the refugees’ needs of housing and facility. Combining these two aspects, this study aims at contributing to the definition of an urban strategy and improve the decision aiding process related to the accommodation system in Turin. We adopt a recently developed MCDA method to tackle the problem of accommodation of migrants, that is, the Cat-SD (Categorization by Similarity–Dissimilarity) method. We face a nominal classification problem where underused buildings located in the city of Turin are assigned to categories (i.e., three migrant status). A decision model is constructed based on the judgments of the experts. Thus, the application of the method allows to identify an adequate category (or categories) of migrant status for each building.

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(Adapted from Bunino et al. 2017)

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(Adapted from Bunino et al. 2017)

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Notes

  1. Available at http://decspace.sysresearch.org/index.html.

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Acknowledgements

The authors acknowledge the anonymous referees for their valuable comments, remarks, and suggestions on a previous version of this paper. Ana Sara Costa acknowledges financial support from Universidade de Lisboa, Instituto Superior Técnico, and CEG-IST (Ph.D. Scholarship). Ana Sara Costa and José Borbinha were supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) with reference UID/CEC/50021/2019. Salvatore Greco wishes to acknowledge the funding by the FIR of the University of Catania “BCAEA3, New developments in Multiple Criteria Decision Aiding (MCDA) and their application to territorial competitivenes” and 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 of the fund “Chance” of the University of Catania. José Rui Figueira acknowledges the support from the FCT grant SFRH/BSAB/139892/2018 under POCH programme. The authors wish to thank Prof. Alessandro Armando (Politecnico di Torino) for providing the opportunity for the experimentation presented in the study. A special thank goes also to Martina Bunino, Silvia Bovo and Zeynep Tulumen for the data used in the research and for developing some preliminary part of the study.

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Authors and Affiliations

  1. CEG-IST, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

    Ana Sara Costa & José Rui Figueira

  2. INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

    Ana Sara Costa & José Borbinha

  3. Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, Turin, Italy

    Isabella M. Lami

  4. Department of Economics and Business, University of Catania, Catania, Italy

    Salvatore Greco

  5. Portsmouth Business School, Centre of Operations Research and Logistics (CORL), University of Portsmouth, Portsmouth, UK

    Salvatore Greco

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  1. Ana Sara Costa
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  2. Isabella M. Lami
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  3. Salvatore Greco
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  4. José Rui Figueira
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  5. José Borbinha
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Correspondence to Ana Sara Costa.

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Costa, A.S., Lami, I.M., Greco, S. et al. Assigning a house for refugees: an application of a multiple criteria nominal classification method. Oper Res Int J 21, 2651–2687 (2021). https://doi.org/10.1007/s12351-019-00508-x

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  • DOI: https://doi.org/10.1007/s12351-019-00508-x

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