An Assessment Methodology for the Evaluation of the Impacts of the COVID-19 Pandemic on the Italian Housing Market Demand
Due to the forced changes that the COVID-19 pandemic has had in many aspects of ordinary life (working, social life, training and learning in schools etc.), the characteristics of domestic spaces have significantly modified buying, selling and renting decisions in the real estate market. The aim of...
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Format: | Article |
Language: | English |
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MDPI AG
2021-11-01
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Series: | Buildings |
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Online Access: | https://www.mdpi.com/2075-5309/11/12/592 |
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author | Francesco Tajani Felicia Di Liddo Maria Rosaria Guarini Rossana Ranieri Debora Anelli |
author_facet | Francesco Tajani Felicia Di Liddo Maria Rosaria Guarini Rossana Ranieri Debora Anelli |
author_sort | Francesco Tajani |
collection | DOAJ |
description | Due to the forced changes that the COVID-19 pandemic has had in many aspects of ordinary life (working, social life, training and learning in schools etc.), the characteristics of domestic spaces have significantly modified buying, selling and renting decisions in the real estate market. The aim of this research was to structure a methodology, articulated into four steps, to assess the variation that has occurred in residential market demand as a result of COVID-19 anti-contagion measures, with regard to six metropolitan Italian cities. We considered two samples of properties for each city, the first referencing the pre-COVID-19 pandemic spread and the second collected in the current situation. Consequently, we were able to determine variations in residential market appreciations through the application of a regressive econometric technique. The obtained results highlighted the relevance assumed by indoor acoustic and thermal comfort property factors, compared with the pre-COVID-19 condition. The proposed methodology could be useful to support the public and private entities involved in urban investment decision-making processes, allowing us to identify the most appreciated factors of the residential real estate market demand, in order to improve the conditions of existing and future assets and reduce the related risk levels. |
first_indexed | 2024-03-10T04:33:05Z |
format | Article |
id | doaj.art-c533cc4ff3f54dfc892ea6ffbec355ea |
institution | Directory Open Access Journal |
issn | 2075-5309 |
language | English |
last_indexed | 2024-03-10T04:33:05Z |
publishDate | 2021-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Buildings |
spelling | doaj.art-c533cc4ff3f54dfc892ea6ffbec355ea2023-11-23T04:03:09ZengMDPI AGBuildings2075-53092021-11-01111259210.3390/buildings11120592An Assessment Methodology for the Evaluation of the Impacts of the COVID-19 Pandemic on the Italian Housing Market DemandFrancesco Tajani0Felicia Di Liddo1Maria Rosaria Guarini2Rossana Ranieri3Debora Anelli4Department of Architecture and Design, Sapienza University of Rome, Via Flaminia 359, 00196 Rome, ItalyDepartment of Civil, Environmental, Land, Building Engineering and Chemistry (DICATECh), Polytechnic University of Bari, Via Orabona 4, 70125 Bari, ItalyDepartment of Architecture and Design, Sapienza University of Rome, Via Flaminia 359, 00196 Rome, ItalyDepartment of Architecture and Design, Sapienza University of Rome, Via Flaminia 359, 00196 Rome, ItalyDepartment of Civil, Environmental, Land, Building Engineering and Chemistry (DICATECh), Polytechnic University of Bari, Via Orabona 4, 70125 Bari, ItalyDue to the forced changes that the COVID-19 pandemic has had in many aspects of ordinary life (working, social life, training and learning in schools etc.), the characteristics of domestic spaces have significantly modified buying, selling and renting decisions in the real estate market. The aim of this research was to structure a methodology, articulated into four steps, to assess the variation that has occurred in residential market demand as a result of COVID-19 anti-contagion measures, with regard to six metropolitan Italian cities. We considered two samples of properties for each city, the first referencing the pre-COVID-19 pandemic spread and the second collected in the current situation. Consequently, we were able to determine variations in residential market appreciations through the application of a regressive econometric technique. The obtained results highlighted the relevance assumed by indoor acoustic and thermal comfort property factors, compared with the pre-COVID-19 condition. The proposed methodology could be useful to support the public and private entities involved in urban investment decision-making processes, allowing us to identify the most appreciated factors of the residential real estate market demand, in order to improve the conditions of existing and future assets and reduce the related risk levels.https://www.mdpi.com/2075-5309/11/12/592COVID-19 pandemichousing marketproperty pricesgenetic algorithmhousing demand |
spellingShingle | Francesco Tajani Felicia Di Liddo Maria Rosaria Guarini Rossana Ranieri Debora Anelli An Assessment Methodology for the Evaluation of the Impacts of the COVID-19 Pandemic on the Italian Housing Market Demand Buildings COVID-19 pandemic housing market property prices genetic algorithm housing demand |
title | An Assessment Methodology for the Evaluation of the Impacts of the COVID-19 Pandemic on the Italian Housing Market Demand |
title_full | An Assessment Methodology for the Evaluation of the Impacts of the COVID-19 Pandemic on the Italian Housing Market Demand |
title_fullStr | An Assessment Methodology for the Evaluation of the Impacts of the COVID-19 Pandemic on the Italian Housing Market Demand |
title_full_unstemmed | An Assessment Methodology for the Evaluation of the Impacts of the COVID-19 Pandemic on the Italian Housing Market Demand |
title_short | An Assessment Methodology for the Evaluation of the Impacts of the COVID-19 Pandemic on the Italian Housing Market Demand |
title_sort | assessment methodology for the evaluation of the impacts of the covid 19 pandemic on the italian housing market demand |
topic | COVID-19 pandemic housing market property prices genetic algorithm housing demand |
url | https://www.mdpi.com/2075-5309/11/12/592 |
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