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Estimation of Induced Highway Travel Demand  

Lee, Gyu-Jin (아주대학교 건설교통공학과)
Choe, Gi-Ju (아주대학교 환경건설교통공학부)
Publication Information
Journal of Korean Society of Transportation / v.24, no.7, 2006 , pp. 91-100 More about this Journal
Abstract
Travel Demand Forecasting (TDF) is an essential and critical process in the evaluation of the highway improvement Project. The four-step TDF Process has generally been used to forecast travel demand and analyze the effects of diverted travel demand based on the given Origin-Destination trips in the future. Transportation system improvements, however, generate more travel, Induced Travel Demand (ITD) or latent travel demand, which has not been considered in the project evaluation. The Purpose of this study Is to develop a model which can forecast the ITD applied theory of economics and the Program(I.D.A) which can be widely applied to project evaluation analysis. The Kang-Byun-Book-Ro expansion scenario is used to apply and analyze a real-world situation. The result highlights that as much as 15% of diverted travel demand is generated as ITD. The results of this study are expected to improve reliability of the project evaluation of the highway improvement Project.
Keywords
Highway Improvement; Induced Highway Travel Demand; Travel Demand Forecasting Process; Maginal Cost; Demand and Supply Curves;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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