Housing deficit and building regeneration in popular neighborhoods of the La Plata District, Argentina: Collaborative strategy between technical actors and residents
Déficit habitacional y regeneración edilicia en barrios populares del Partido de La Plata, Buenos Aires. Argentina: Estrategia colaborativa entre actores técnicos y habitantes barriales
Escassez de moradias e regeneração de edifícios em bairros operários de La Plata,Argentina: Estratégia colaborativa entre técnicos e moradores
| 2025 | |
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actores socio-técnicos diagnóstico habitacional intervenciones de mejoramiento replicabilidad metodológica soluciones de regeneración edilicia socio-technical actors housing diagnosis upgrading interventions methodological replicability housing regeneration solutions atores sociotécnicos diagnóstico habitacional intervenções de melhoria replicabilidade metodológica soluções de regeneração edilícia |
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| Español | |
| Universidad ORT Uruguay | |
| RAD | |
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https://revistas.ort.edu.uy/anales-de-investigacion-en-arquitectura/article/view/4155
http://hdl.handle.net/20.500.11968/7757 |
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| Acceso abierto |
| Sumario: | The accelerated urban expansion experienced in Latin America in recent decades has led to a marked increase in urbanized area, characterized by deficiencies in access to housing, basic services, infrastructure, and facilities. In Greater La Plata (La Plata, Berisso, and Ensenada), the focus of this study, the situation of popular housing has not differed significantly from the rest of the country. Currently, the lack of methodologies and theoretical and technical approaches to the problems at hand, as well as the limited participation of the stakeholders involved, impedes certain public policy resolutions. This paper presents advances in this type of tool, which aims, on the one hand, to recognize the current situation regarding urban housing in popular sectors and, on the other, to provide concrete building regeneration solutions to mitigate the conditions of qualitative housing shortages. Based on the study of a selected neighborhood, it was determined that: 25% of homes require maximum intervention, 9% require medium intervention, and 66% require minimum intervention. In each case, interventions for improvement are proposed. This method focuses on replicability and adaptation to different analytical contexts. |
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