(Press-News.org) By analyzing peoples' visitation patterns to essential establishments like pharmacies, religious centers and grocery stores during Hurricane Harvey, researchers at Texas A&M University have developed a framework to assess the recovery of communities after natural disasters in near real time. They said the information gleaned from their analysis would help federal agencies allocate resources equitably among communities ailing from a disaster.
"Neighboring communities can be impacted very differently after a natural catastrophic event," said Dr. Ali Mostafavi, associate professor in the Zachry Department of Civil and Environmental Engineering and director of the Urban Resilience.AI Lab. "And so, we need to identify which areas can recover faster than others and which areas are impacted more than others so that we can allocate more resources to areas that need them more."
The researchers have reported their findings in END
Big data-derived tool facilitates closer monitoring of recovery from natural disasters
Texas A&M researchers have mined location-based data to essential establishments during Hurricane Harvey to develop a framework for monitoring communities' resilience
2021-07-22
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[Press-News.org] Big data-derived tool facilitates closer monitoring of recovery from natural disastersTexas A&M researchers have mined location-based data to essential establishments during Hurricane Harvey to develop a framework for monitoring communities' resilience