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3316. A GIS-MCDA Approach for Spatial Assessment of Real Estate Dynamics: a trial in Rotterdam, the Netherlands
Invited abstract in session TD-47: MCDA and urban planning 3, stream Multiple Criteria Decision Analysis.
Tuesday, 14:30-16:00Room: 50 (building: 324)
Authors (first author is the speaker)
| 1. | Eugenio Muccio
|
| Department of Architecture (DiARC), University of Naples Federico II | |
| 2. | Giuliano Poli
|
| Department of Architecture, University of Naples Federico II | |
| 3. | Hilde Remoy
|
| Management in the Built Environment, TU Delft | |
| 4. | Maria Cerreta
|
| Department of Architecture (DiARC), University of Naples Federico II |
Abstract
According to the United Nations, while housing is an integral part of 7 SDGs, it makes direct and indirect contributions to all Agenda 2030 goals. In particular, increasing access to affordable housing remains essential for SDG11, addressing the requirements of low-income, vulnerable, and marginalized households while advancing housing affordability for progress towards sustainable communities. The multi-attribute nature of housing is reflected in its market value, determined not only by economic variables (e.g., price, income, GDP) but also by non-economic factors influencing real estate dynamics, specifically in tourism contexts. Establishing a monitoring framework for residential real estate urban dynamics at the neighborhood level is useful for decision-makers in addressing planning uncertainty associated with uneven spatial development, housing affordability, and gentrification.
This contribution aims to experiment with spatial composite indicators produced through MCDA aggregating methods to rank urban districts of Rotterdam, the Netherlands, concerning the three above-mentioned phenomena. A set of monetary and non-monetary indicators has been implemented as proxy variables to assess the characteristics of housing stock. Assessing housing values using GIS-MCDA aggregation procedures is still a low-explored field which the authors aim to stress to advance research in the assessment of real estate spatial dynamics at the urban scale.
Keywords
- Decision Support Systems
- Strategic Planning and Management
- Sustainable Development
Status: accepted
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