United States Department of Transportation
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Impact of Development Density on K-Factors
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2017-08-23
[PDF-2.44 MB]
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Edition:Final Project Report, August 2016 to July 2017
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Abstract:NCDOT’s Transportation Planning Branch seeks to utilize a method to estimate the impact of peak spreading based on capacity constraints that is found in the latest national guidance for traffic forecasting. To fully understand peak spreading impacts, it is necessary to understand how K-factor data changes. A model that tests factors that affect K-factor data, including site and socioeconomic characteristics, provides a useful guide for estimating reasonable levels of peak spreading. The purpose of this project was to determine how K-factor data changes to estimate the impact of peak spreading across different area types. Exploratory models were developed for forecasting peak spreading using North Carolina traffic data where peak spreading was measured as change in the K-factor. Peak spreading studies conducted in cities in other states were also reviewed for comparison. The results of this research will be useful to inform efficient and cost-effective roadway project design and will help provide additional information to advise the NEPA process.
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