Resilient House Evaluation Matrix: Attributes and Quality Indicators for Social Housing

Background: This study explores resilience in Brazilian social housing (SH), focusing on single-family, one-story housing units within the “Minha Casa, Minha Vida” (MCMV) program. Despite reducing the housing deficit by delivering 7.7 million units since 2009, the program’s projects often lack resilience, contributing to social, physical, and environmental vulnerabilities. Resilience is defined as the built environment’s ability to respond, absorb, and adapt to impacts and demands, addressing vulnerability and adaptive capacity. Methods: This study developed the Resilient House Evaluation Matrix (RHEM), piloted in two MCMV developments in Uberlândia, MG, Brazil. Data were collected using performance and post-occupancy evaluation tools, focusing on attributes such as thermal comfort, energy efficiency, flexibility, and accessibility for the elderly. Indicators and sub-indicators were defined to measure resilience. Results: The RHEM attributes proved useful in improving housing quality and resilience, while evaluation tools identified key impacts and residents’ perceptions. The Resilience Ruler (RR) assessed resilience levels, supporting the development of design strategies to enhance resilience in SH. These findings align with Sustainable Development Goal (SDG) 11, contributing to resilient communities. Conclusions: This study emphasizes the importance of resilient SH design to address vulnerabilities and enhance adaptability. The RHEM provides a valuable framework for advancing housing resilience.

Authors

Institutions

Publication Details

Journal
Buildings
Published
2025-02-28
DOI
https://doi.org/10.3390/buildings15050793
Citations
2
Primary Topic
Korean Urban and Social Studies
Type
article
Field-Weighted Citation Impact
4.84
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Resilient House Evaluation Matrix: Attributes and Quality Indicators for Social Housing

Karen Carrer Ruman de Bortoli, Simone Barbosa Villa, Lamonise Vasconcelos Oliveira
2 citations
Buildings
Korean Urban and Social Studies
4.84
article

Resilient House Evaluation Matrix: Attributes and Quality Indicators for Social Housing

Karen Carrer Ruman de Bortoli, Simone Barbosa Villa, Lamonise Vasconcelos Oliveira
article en
2 citations

Abstract

Background: This study explores resilience in Brazilian social housing (SH), focusing on single-family, one-story housing units within the “Minha Casa, Minha Vida” (MCMV) program. Despite reducing the housing deficit by delivering 7.7 million units since 2009, the program’s projects often lack resilience, contributing to social, physical, and environmental vulnerabilities. Resilience is defined as the built environment’s ability to respond, absorb, and adapt to impacts and demands, addressing vulnerability and adaptive capacity. Methods: This study developed the Resilient House Evaluation Matrix (RHEM), piloted in two MCMV developments in Uberlândia, MG, Brazil. Data were collected using performance and post-occupancy evaluation tools, focusing on attributes such as thermal comfort, energy efficiency, flexibility, and accessibility for the elderly. Indicators and sub-indicators were defined to measure resilience. Results: The RHEM attributes proved useful in improving housing quality and resilience, while evaluation tools identified key impacts and residents’ perceptions. The Resilience Ruler (RR) assessed resilience levels, supporting the development of design strategies to enhance resilience in SH. These findings align with Sustainable Development Goal (SDG) 11, contributing to resilient communities. Conclusions: This study emphasizes the importance of resilient SH design to address vulnerabilities and enhance adaptability. The RHEM provides a valuable framework for advancing housing resilience.

BuildingsVol. 15(5)
Universidade Federal de Uberlândia (BR)
Openalex Percentile: Top 7%
Korean Urban and Social Studies
4.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Resilient House Evaluation Matrix: Attributes and Quality Indicators for Social Housing — Karen Carrer Ruman de Bortoli, Simone Barbosa Villa, et al. · Buildings (2025) | TGRS Research Map | TGRS