5 citations · 18 across the 10 of their papers we have counts for
4 papers · 1 filter
Evac-Cast: An Interpretable Machine-Learning Framework for Evacuation Forecasts Across Hurricanes and Wildfires
Bo Li, Chenyue Liu, Ali Mostafavi
Evacuation is critical for disaster safety, yet agencies lack timely, accurate, and transparent tools for evacuation prediction. This study introduces Evac-Cast, an interpretable m…
Anatomizing Societal Recovery at the Microscale: Heterogeneity in Household Lifestyle Activities Rebounding after Disasters
Natalie Coleman, Chenyue Liu, Ali Mostafavi
This study presents a granular analysis of societal recovery from disasters at the individual level, focusing on the aftermath of Hurricane Harvey and Hurricane Ida. Societal recov…
Unraveling Extreme Weather Impacts on Air Transportation and Passenger Delays using Location-based Data
Chia-Wei Hsu, Chenyue Liu, Zhewei Liu +1
Extreme weather poses significant threats to air transportation systems, causing flight rerouting and cancellations, as well as passenger travel delays. With the growing frequency…
Lifestyle Pattern Analysis Unveils Recovery Trajectories of Communities Impacted by Disasters
Natalie Coleman, Chenyue Liu, Yiqing Zhao +1
The return of normalcy to the population's lifestyle is a critical recovery milestone in the aftermath of disasters, and delayed lifestyle recovery could lead to significant well-b…