SAS® helps North Carolina find a cheaper way to build roads
How do you build a road faster, at less cost and with minimal disruption to the environment? In North Carolina you do it by first building computer models using advanced data sources that help narrow the choices of possible road corridors without resorting to costly land surveys. The process can save as much as $500,000 per road project and shave up to 20 percent off the time it takes to select and plan for a road. SAS® Analytics provide the engine for this innovative project that is gaining national attention and won the state an Environmental Excellence Award from the Federal Highway Administration.
To avoid polluting natural water sources, transportation planners need to carefully assess the impacts a transportation project will have on the surrounding environment and come up with ways to avoid, minimize and mitigate the impacts. Road builders typically rely on geographical surveys and verify that information by sending surveyors and water quality experts into the field to document all the streams and wetlands.
This approach is costly because environmental issues must be identified before the transportation department can even narrow the choices for a new roadway to two or three “corridors.” On a large building project – such as a bypass – the state might need to survey thousands of acres of land. “(With a big project) you might end up with hundreds of possible combinations for one road,’’ explains Morgan Weatherford, Environmental Program Consultant with the North Carolina Department of Transportation’s (NCDOT) Natural Environmental Unit. “One of the biggest challenges that (NCDOT) faces right now is complying with all the federal and state environmental regulation, and doing it in a manner that is beneficial not only for the environment but for the taxpayer as well.”
Taking advantage of LIDAR
In North Carolina, Environmental Specialist Susan Gale and Environmental Senior Specialist Periann Russell, both with the Division of Water Quality (DWQ), set out to build multiple logistical regression models that could predict headwater streams – and then test the model’s accuracy with field surveys. “The accuracy of the models range from 85 to 95 percent depending on the application terrain,’’ explains Russell. After the DWQ developed the logistic regression for streams, NCDOT was able to apply the same process to wetland predictions.
The work convinced an initially skeptical Weatherford, so much so that the state is using the process on a much larger project that includes predicting stream and wetland locations using LIDAR data for an entire county in Eastern North Carolina. The data will not only be used to help transportation planners choose a corridor for a 20-mile bypass, it will also be used on several bridge modernization projects and be available to private developers who need stream and wetland information for their proposed developments.
Choosing SAS® for the work
The pilot work has been met with enthusiasm from both state and federal agencies. Weatherford is getting positive feedback from groups like the US Army Corps of Engineers and the US Environmental Protection Agency, and questions from state and local agencies responsible for planning transportation projects. Weatherford emphasizes that the model doesn’t end field work. It simply allows the state to do less field work because the model has helped narrow the corridor choices to a handful. “Every time we impact a wetland, we have to restore a wetland. Every time we impact a stream, we have to restore a stream. So getting good data is important not only for environmental, but for cost-saving reasons,’’ Weatherford says.
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NC Department of Transportation
NCDOT needed to find a more efficient and cost-effective way to determine corridors for road and bridge building projects.
Shaves up to $500,000 off project costs and 20 percent off planning time.
“"Every time we impact a wetland, we have to restore a wetland. Every time we impact a stream, we have to restore a stream. So getting good data is important not only for environmental, but for cost-saving reasons.''”
Environmental Program Consultant