https://www.sciencedaily.com/releases/2022/08/220810181432.htm

In research recently published in The Proceedings of the National Academy of Sciences, a team led by Jianxi Gao, assistant professor of computer science at Rensselaer Polytechnic Institute, and Qi "Ryan" Wang, associate professor of civil and environmental engineering at Northeastern University, formulated a method to predict human movement during large-scale extreme events with the goal of enabling more effective emergency responses. The model also revealed great disparity in movement among different economic groups.

"Despite many possible variables, we found that changes in human mobility behavior during various extreme events exhibit a consistent hyperbolic decline," said Gao. "We call it 'spatiotemporal decay.'"