Multi-Measure Quality Analysis of Weather Forecasts Used for Winter Highway Maintenance

Sunanda Dissanayake, Wei He, Dean Landman and Mary Knapp

Journal of the Transportation Research Forum, 2005, vol. 44, issue 3

Abstract: State Departments of Transportation spend a considerable portion of their winter maintenance budgets getting accurate weather forecasts that are essential for proactive operations and are interested in getting the best value for their money. With that intention, the Kansas Department of Transportation obtained weather forecasts from three commercial weather data providers for four selected locations within the state of Kansas. This paper presents a quality analysis of those forecasts to identify the most accurate and reliable provider. In doing so, researchers used the prediction of frost events as the performance measure. Several different measures that were capable of quantifying the selected attributes (reliability, accuracy, and skill) were used to evaluate different forecasts for each location and for combined data.

Keywords: Environmental; Economics; and; Policy (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:ags:ndjtrf:206768

DOI: 10.22004/ag.econ.206768

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