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Several destructive earthquakes have occurred throughout the African continent over the past century. However, few comprehensive …

In recent decades, hundreds of studies have covered seismic vulnerability assessment and the derivation of fragility models. However, …

This study uses data from the United States Household Pulse Survey to fit predictive models for displacement duration and return after disasters. Three predictive models are proposed, which range in complexity and predictive power. The leading contributors to different duration and return outcomes are also explored. These models can be integrated within disaster risk analyses, as illustrated through a hurricane scenario analysis for Atlantic City, NJ.

In the aftermath of an earthquake, the number of residents whose housing was destroyed is often used to approximate the number of people displaced (i.e., rendered homeless) after the event. This study benchmarks this conventional approach against officially reported impacts and data-driven estimates using mobile location data for three recent earthquakes in Haiti, Japan, and Nepal.

This review paper synthesizes the current literature on disaster-induced displacement, including key terminology and context, the determinants of household return decisions, existing model-based approaches, and opportunities for future research.

The global building exposure model is a mosaic of local and regional models with information regarding the residential, commercial, and …

Several destructive natural hazards have occurred throughout Africa over the past century, yet few comprehensive exposure models exist …

The spatial resolution of exposure data has a substantial impact on the accuracy and reliability of seismic risk estimates. While …

The 2020 COVID-19 pandemic caused a human and economic impact of unprecedented magnitude in contemporary history. In an effort to …