Predicting the Construction of New Highway Links

David Levinson and Ramachandra Karamalaputi

No 200305, Working Papers from University of Minnesota: Nexus Research Group

Abstract: This paper examines new highway construction based on the status of the network, traffic demand, project costs, and budget constraints. The data span two decades and consist of descriptions of physical attributes of the network, the construction and expansion history, and average annual daily traffic values on each of the links. An algorithm is developed to designate adjacent and parallel links in a large network. A nonlinear cost model for new construction and highway expansion is developed for the Minneapolis-St. Paul metropolitan area. Results show that new links providing greater potential access are more likely to be constructed and that more links will be constructed when the budget is larger, which supports the underlying economic theory. The models developed here have important implications for planning and forecasting, allowing us to predict how networks might be altered in the future in response to changing conditions.

JEL-codes: D10 D83 D85 O33 R41 R42 R48 (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (4)

Published in Journal of Transportation and Statistics Vol. 6(2/3) 81-89

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http://hdl.handle.net/11299/179909 First version, 2007 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:newconstruction

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