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Real Estate Market Dynamics in the City of Naples: An Integration of a Multi-Criteria Decision Analysis and Geographical Information System

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  • Pasquale De Toro

    (Department of Architecture, University of Naples Federico II, via Toledo 402, I-80134 Naples, Italy)

  • Francesca Nocca

    (Department of Architecture, University of Naples Federico II, via Toledo 402, I-80134 Naples, Italy)

  • Andrea Renna

    (Department of Architecture, University of Naples Federico II, via Toledo 402, I-80134 Naples, Italy)

  • Luigi Sepe

    (Department of Architecture, University of Naples Federico II, via Toledo 402, I-80134 Naples, Italy)

Abstract

Urban development and regeneration projects produce multidimensional impacts on the city, on its environmental, economic, and social systems. An aspect that can be considerably affected by urban dynamics is linked to the real estate market. So, analysing real estate dynamics is useful to support decision-makers in the elaboration of urban regeneration plans and projects, and thus orient their choices. Focusing attention on the city of Naples (Italy), the purpose of this paper is to analyse in detail the real estate dynamics in this city through the integration of a Multi-Criteria Decision Analysis (MCDA) method and Geographical Information System (GIS). This integration allowed us to map and analyse the territory, linking a specific issue (the real estate dynamics) to the territory itself, and to analyse it according to specific criteria. This aims for a better understanding and interpretation of real estate dynamics, representing a useful tool for orienting and supporting urban planning strategies.

Suggested Citation

  • Pasquale De Toro & Francesca Nocca & Andrea Renna & Luigi Sepe, 2020. "Real Estate Market Dynamics in the City of Naples: An Integration of a Multi-Criteria Decision Analysis and Geographical Information System," Sustainability, MDPI, vol. 12(3), pages 1-24, February.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:1211-:d:317970
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    References listed on IDEAS

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    3. Sisman, S. & Aydinoglu, A.C., 2022. "A modelling approach with geographically weighted regression methods for determining geographic variation and influencing factors in housing price: A case in Istanbul," Land Use Policy, Elsevier, vol. 119(C).
    4. José-Manuel Sánchez-Martín & José-Luis Gurría-Gascón & Juan-Ignacio Rengifo-Gallego, 2020. "The Distribution of Rural Accommodation in Extremadura, Spain-between the Randomness and the Suitability Achieved by Means of Regression Models (OLS vs. GWR)," Sustainability, MDPI, vol. 12(11), pages 1-29, June.
    5. Jiansheng Wu & Junhao Zhou & Wen Zhang, 2020. "A Framework to Classify Environmental Inequity in Absolute and Relative Terms, and Its Application in Beijing," Sustainability, MDPI, vol. 12(11), pages 1-16, June.

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