International Journal of Disaster Risk Reduction (Elsevier)

This publication examines how recurrent flooding in Guadalajara, Mexico, is not the result of isolated hydrometeorological events but the outcome of long-standing socio-spatial, institutional, and historical processes shaped by inequality.

This work focuses on field monitoring of certain resilience parameters, such as the time for reconstruction and repairs from the effects of the 2019 earthquake that strongly affected the municipality of Le Teil, Rhone Valley, France.

This paper talks about a study mission that was carried out twenty years after the 2004 Indian Ocean tsunami (IOT) to assess the recovery of the affected regions, especially in the Eastern region of Sri Lanka.

This study evaluates how attention mechanisms and explainable AI (XAI) techniques can improve the reliability and interpretability of deep learning models for post-disaster building damage assessment using satellite imagery.

This study aims to identify which decision-making factors significantly contribute to housing safety after reconstruction to inform the design of effective reconstruction assistance.

The study advocates for a more tailored approach to disaster restoration and recovery that not only prioritizes technical and infrastructural restoration but also aligns with the specific needs and preferences of the affected populations.

This academic study explores how rural communities in Western Australia rely on self-reliance to recover from extreme weather, while facing growing limits to long-term resilience under climate change.

This work aims to develop a methodological framework to evaluate the multi-scale impact of function relocation in Historical Urban Built Environments (HUBEs) assessing users' vulnerability and exposure.