Using cell phone data from D-FW residents, SMU researchers show that Dallas bounced back quickly from the 2021 winter storm. Their model predicts that Dallas...
“It’s valuable to find quantitative approaches to better plan and prepare for climate change and the future of emergency management,” said Travis Houston, the city of Dallas’ assistant emergency management coordinator.
Ali Mostafavi, an urban resilience researcher at Texas A&M University, welcomes this innovation. “We need newer perspectives and newer lenses to understand resilience in cities,” said Mostafavi, who wasn’t involved with the SMU research.These techniques are new to urban resilience, but a key equation dates back to 1905. Albert Einstein derived it the same year as the more famous E=mc^2.
However, when you look at any individual molecule or person, things get more complicated — and unpredictable. You might be able to guess that a stranger is commuting at 9 a.m. and a dye molecule is drifting from the spot it was dropped in the water. But you can’t know the routes they travel.Einstein’s equation can’t tell you where that molecule is, but it can predict how far, on average, any molecule has traveled since dropping into the water.
Unlike dye in water, however, people tend to return to a few places, like their homes and workplaces. Makris notes that in February 2021, the data shows that many people were returning to pre-COVID patterns of movement.Luckily, the math can apply to other materials, as well. Makris identified a complex substance with characteristics of both a liquid and a solid that behaves somewhat like a spring.
“As soon as the cold front passed and the [power] demand-supply was balanced,” he said, “then we [saw] that the community bounced back.”But other types of disasters, like tornadoes or flooding, might leave more lasting infrastructural or social damage.“I started with Dallas because it’s my home city,” he said.Advertisement
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