Leading Transportation Indicators: Forecasting Waterborne Commerce Statistics Using Lock Performance Data

This paper develops and applies a forecasting model for transportation data based on the leading economic indicators literature. The specific application is to forecast river tonnages. Waterborne commerce data reflect tonnages of commodities moved on various rivers and in various directions. They are released after the Lock Performance Monitoring System data which reflect tonnages moving through specific locks. The model presented here forecasts waterborne commerce data from lock performance data. The results suggest that even a very simple model can provide precise forecasts.


Issue Date:
2005
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/206758
Published in:
Journal of the Transportation Research Forum, Volume 44, Number 2
Page range:
33-44
Total Pages:
13




 Record created 2017-04-01, last modified 2017-08-28

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