New AI allocates resources when rebuilding a city after a natural disaster

In a new paper, researchers from Texas A&M University analyzed how often people visit

key popular establishments such as pharmacies, churches, and grocery stores during Hurricane Harvey to provide a framework for assessing urban recovery from natural disasters. 

The authors believe that the information obtained from their analysis will help federal agencies allocate optimally. 

We need to determine which areas of life can be restored faster than others, and understand what has been hit the hardest so we can allocate more resources. 

Ali Mostafavi, Doctor and Associate Professor, Department of Civil and Environmental Engineering

Mostafavi added that federal agencies disbursing funds need recovery information quickly and in near real time.

Therefore, the new program is based on new data sources that can provide detailed information about how a city or community is recovering. 

During the new work, the authors collaborated withby SafeGraph to obtain location data for people in Harris County, Texas, around the time of Hurricane Harvey. The researchers then collected big data and obtained information about the number of visits to vital locations before and during the hurricane. 

Based on the results of the work, the authors note that their new system is applicable to any other natural disaster.

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