Hurricane Florence wrought devastation on the infrastructure and economy of North Carolina coast.
People lost homes – and some, their lives; farmers lost their crops and, consequently, income. Freight activity dropped by more than 60% and an overall estimated damage tally is up to $50B.
Today, the crippling ripple effect is felt not only locally but nationally. Movement of goods is one of the biggest economic engines in the U.S.; trucks haul up to $64B of freight a month, according to the Bureau of Transportation Statistics. When this activity is interrupted, as you can imagine, the consequences are dire.
Knowing exactly what the effect is is crucial to recuperation. Below are the real-time fleet activities, captured by Fleet Complete’s trackers before, during, and after the hurricane hit.
“Data gathered from various vehicles, fleet activity, and duty cycles, combined with other asset data is aggregated in Fleet Complete’s CONNVEX platform,” comments Sandeep Kar, Chief Strategy Officer at Fleet Complete. “It is used to develop and deliver big data analytics that enhance ‘big’ knowledge, thereby enabling big decisions during times of emergencies, such as Hurricane Florence.”
“Each year,” he continues, “natural disasters cause anywhere from 0.3-0.5% of GDP loss. Moreover, lack of mission-critical data and insights hinders relief providers from making attempts in delivering solutions to citizens and infrastructure. Through big data analytics, such as CONNVEX, we are able to help both public and private organizations enhance their resilience to natural calamities.”
“Insights, delivered by advanced predictive and prescriptive analytics, enable us to offer solutions for cities, municipalities, first responders, and fleets in planning effective and efficient flow of goods and services in areas that are in the path of natural calamities, such as hurricanes,” concludes Kar.