New AI allocates resources when rebuilding a city after a natural disaster | FREE NEWS
Researchers at Texas A&M University have developed a framework for assessing disaster recovery in cities in near real time.
In a new paper, researchers at Texas A&M University analyzed how often people visit major popular institutions such as pharmacies, churches and grocery stores during Hurricane Harvey to create a framework for assessing disaster recovery in cities.
The authors believe that the information obtained from their analysis will help federal agencies to distribute optimally.
We need to determine which areas of vital activity can be restored faster than others, and also understand which has been affected more so that more resources can be allocated.
Ali Mostafavi, Doctor and Associate Professor, Department of Civil Engineering and Environmental Protection
Mostafavi added that for federal funding agencies, recovery information is needed quickly and in near real time.
In a new paper, researchers at Texas A&M University analyzed how often people visit major popular institutions such as pharmacies, churches and grocery stores during Hurricane Harvey to create a framework for assessing disaster recovery in cities.
The authors believe that the information obtained from their analysis will help federal agencies to distribute optimally.
We need to determine which areas of vital activity can be restored faster than others, and also understand which has been affected more so that more resources can be allocated.
Ali Mostafavi, Doctor and Associate Professor, Department of Civil Engineering and Environmental Protection
Mostafavi added that for federal funding agencies, recovery information is needed quickly and in near real time.
freenews.live
