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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Integrated Statistical Data for Planning Social Housing in the City of Taranto
verfasst von : Paola Perchinunno, Francesco Rotondo
Erschienen in: Computational Science and Its Applications – ICCSA 2021
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Abstract
Housing is often considered a crucial element in determining the level of income and social well-being, in recognition of the ways in which housing shortages, or the use of poor-quality housing, are statistically linked to income levels and can negatively affect on people’s well-being (Rolfe et alii, 2020). So, planning social housing isn’t just a question of houses, but it claims for a deep understanding of people living conditions, social and economic dynamics. That’s why is necessary to integrate different statistical data to develop a model of social and economic living conditions of people to address better and context-based housing policies. The paper analyses methods and tools to integrate appropriate statistical data to guide housing policies in the case of the city of Taranto, selecting those most useful for determining supply and demand to guide urban planning in subsequent participatory and implementation paths. Planning social housing not just to improve physical spaces, but to interpret the needs of living.
