Urban decay is a complex phenomenon that encompasses physical deterioration, environmental degradation, and social disintegration that negatively affects the livability, safety, and economic vitality of urban areas, leading to demographic displacements, disinvestments and significant repercussions on housing dynamics. This study aims to develop a regression methodological approach to determine the effects of urban decay factors on the residential real estate market in Rome (Italy). The methodology involves the collection of a set of variables to describe and interpret the effects of urban decay on property values, followed by the application ofWeighted Least Squares (WLS) regression to assess themarginal prices of these identified variables. The use of WLS allows to take into account the problem of heteroscedasticity in the evaluation process, ensuring its robustness. The proposed methodology is adaptable to different spatial contexts and provides valuable decision support for stakeholders involved in urban regeneration initiatives aimed at revitalizing decayed areas.

Impacts of Urban Decay on the Residential Property Market: An Application to the City of Rome (Italy) / Anelli, Debora; Morano, Pierluigi; Tajani, Francesco; Sabatelli, Emma. - (2024), pp. 36-48. (Intervento presentato al convegno International Conference on Computational Science and Its Applications (ICCSA) 2024 tenutosi a Hanoi; Vietnam) [10.1007/978-3-031-65318-6].

Impacts of Urban Decay on the Residential Property Market: An Application to the City of Rome (Italy)

Debora Anelli;Francesco Tajani;Emma Sabatelli
2024

Abstract

Urban decay is a complex phenomenon that encompasses physical deterioration, environmental degradation, and social disintegration that negatively affects the livability, safety, and economic vitality of urban areas, leading to demographic displacements, disinvestments and significant repercussions on housing dynamics. This study aims to develop a regression methodological approach to determine the effects of urban decay factors on the residential real estate market in Rome (Italy). The methodology involves the collection of a set of variables to describe and interpret the effects of urban decay on property values, followed by the application ofWeighted Least Squares (WLS) regression to assess themarginal prices of these identified variables. The use of WLS allows to take into account the problem of heteroscedasticity in the evaluation process, ensuring its robustness. The proposed methodology is adaptable to different spatial contexts and provides valuable decision support for stakeholders involved in urban regeneration initiatives aimed at revitalizing decayed areas.
2024
International Conference on Computational Science and Its Applications (ICCSA) 2024
Urban decay; property market; property values; Weighted Least Squares regression; regression analysis
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Impacts of Urban Decay on the Residential Property Market: An Application to the City of Rome (Italy) / Anelli, Debora; Morano, Pierluigi; Tajani, Francesco; Sabatelli, Emma. - (2024), pp. 36-48. (Intervento presentato al convegno International Conference on Computational Science and Its Applications (ICCSA) 2024 tenutosi a Hanoi; Vietnam) [10.1007/978-3-031-65318-6].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1716803
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