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An Empirical Model for Optimal Highway Durability in Cold Regions

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dc.contributor.author Yan, Jia
dc.date.accessioned 2018-08-10T17:25:51Z
dc.date.available 2018-08-10T17:25:51Z
dc.date.issued 2016-03-10
dc.identifier.uri http://hdl.handle.net/11122/9600
dc.description.abstract We develop an empirical tool to estimate optimal highway durability in cold regions. To test the model, we assemble a data set containing all highway construction and maintenance projects in Arizona and Washington State from 1990 to 2014. The data set includes information on location, time, type (resurfacing, construction, or lane widening), pavement material and thickness, and total expenditure for these projects. Using the data, we first estimate how highway maintenance costs and highway duration depend on pavement thickness and traffic loading. We then calibrate the effects of different deicers on highway durability and thus on highway maintenance costs. Finally, we demonstrate how the estimated and calibrated model can be used by planners to make optimal decisions for highway pavement and winter operations in cold regions. en_US
dc.language.iso en_US en_US
dc.publisher Center for Environmentally Sustainable Transportation in Cold Climates en_US
dc.subject highway pavement en_US
dc.subject highway construction en_US
dc.subject Highway maintenance en_US
dc.subject deicer en_US
dc.subject highway deicing en_US
dc.subject highway winter operations en_US
dc.title An Empirical Model for Optimal Highway Durability in Cold Regions en_US
dc.type Technical Report en_US


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