Simulating human behavior under earthquake early warning.

Earthquakes are a rapid-onset hazard where advance planning and learning plays a key role in mitigating injuries and death to individuals. Recent advances in earthquake detection have resulted in the development of earthquake early warning (EEW) systems. These systems can provide advance warning to predetermined geographic regions that an earthquake is in progress, which may result in individuals receiving warning seconds before significant shaking is felt at their location.

Cross-platform analysis of public responses to the 2019 Ridgecrest earthquake sequence on Twitter and Reddit.

Online social networks (OSNs) have become a powerful tool to study collective human responses to extreme events such as earthquakes. Most previous research concentrated on a single platform and utilized users' behaviors on a single platform to study people's general responses. In this study, we explore the characteristics of people's behaviors on different OSNs and conduct a cross-platform analysis of public responses to earthquakes.

The Limits of Earthquake Early Warning Accuracy and Best Alerting Strategy.

We explore how accurate earthquake early warning (EEW) can be, given our limited ability to forecast expected shaking even if the earthquake source is known. Because of the strong variability of ground motion metrics, such as peak ground acceleration (PGA) and peak ground velocity (PGV), we find that correct alerts (i.e.