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New Housing Preferences in the COVID-19 Era: A Best-to-Worst Scaling Experiment

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12954))

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Abstract

The COVID-19 pandemic in Italy, as in many countries around the world, has imposed rigid restrictions on outdoor activities, resulting in forced confinement. The new condition requires an analysis and a rethinking of the way of life and of the new pre- and post-pandemic needs related to the use of domestic spaces, necessary to work, study or carry out other daily activities.

Politecnico di Milano and Politecnico di Torino, with the collaboration of the institute of studies and research Scenari Immobiliari, have launched a survey for exploring the new needs and preferences of residents. These needs, which arose in conjunction with the pandemic, concern not only the desire to readapt their homes, but also to change them. In order to investigate these preferences, a questionnaire was developed using the Best to Worst Scaling (BWS).

The items consider both modifications of the internal distribution and interventions on the efficiency of domestic appliances and systems components. The study aims to highlight how the spread of the pandemic has changed housing needs and how physical space affects people’s well-being.

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Notes

  1. 1.

    https://www.gazzettaufficiale.it/eli/gu/2020/03/09/62/sg/pdf.

  2. 2.

    https://eres.org/index.php.

  3. 3.

    https://www.knightfrank.com/research/article/2020-08-05-global-buyer-survey-2020-normal-20.

  4. 4.

    https://think.ing.com/articles/ing-survey-pandemic-or-not-europeans-want-to-move-home.

  5. 5.

    https://www.swg.it/osservatorio.

  6. 6.

    https://www.citrix.com/it-it/news/announcements/jan-2021/citrix-and-onepoll-reserch-about-remote-work-it.html.

  7. 7.

    https://www.scenari-immobiliari.it/

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Authors and Affiliations

  1. Dipartimento Interateneo di Scienze, Progetto e Politiche del Territorio, Politecnico di Torino, Viale Mattioli, 39, 10125, Torino, TO, Italy

    Marta Bottero, Marina Bravi, Caterina Caprioli & Federico Dell’Anna

  2. Department of Architecture and Urban Studies (DAStU), Politecnico di Milano, via Bonardi, 3, 20133, Milano, MI, Italy

    Marta Dell’Ovo & Alessandra Oppio

Authors
  1. Marta Bottero
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  2. Marina Bravi
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  3. Caterina Caprioli
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  4. Federico Dell’Anna
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  5. Marta Dell’Ovo
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  6. Alessandra Oppio
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Corresponding author

Correspondence to Caterina Caprioli .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

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Bottero, M., Bravi, M., Caprioli, C., Dell’Anna, F., Dell’Ovo, M., Oppio, A. (2021). New Housing Preferences in the COVID-19 Era: A Best-to-Worst Scaling Experiment. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12954. Springer, Cham. https://doi.org/10.1007/978-3-030-86979-3_9

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  • DOI: https://doi.org/10.1007/978-3-030-86979-3_9

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