Predicting the Construction of New Highway Links

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