"In this thesis, three issues about the intercity travel demand on the US transportation network are addressed. The final one is the estimation of the domestic passengers' delay cost. A scheme is designed by assuming that costs incurred by flight delays relative to the original flight schedules are imposed at passengers' final destination airports. It is applied to estimate the total domestic delay cost of year 2007 and reasonable results arc obtained. The second one is the air travel demand estimation. Two route-based optimization models are proposed to estimate the travel demand based on available data. It is shown that the estimated route flow follows logit model and nested logit model, respectively. And the domestic demand of year 1995 between 486 airports within continental U.S. is estimated. The last one is the analysis of intercity travel pattern for the super large network. A efficient Pseudo-Dynamic Traffic Assignment simulation model is presented to analyze the traffic patterns of the intercity travellers as well as the related fuel consumptions and emissions. A two-stage simulation scheme is proposed to separate the intercity and non-intercity link flows. Results analysis illustrates that the method gives reasonable estimation within acceptable run-time. The model is applied to the network covering contentional U.S."--Abstract, page iii.
Edara, Praveen K. (Praveen Kumar)
Civil, Architectural and Environmental Engineering
M.S. in Civil Engineering
Missouri University of Science and Technology
x, 77 pages
© 2010 Tao Li, All rights reserved.
Thesis - Restricted Access
Transportation -- United States -- Planning
Transportation -- Forecasting
Air travel -- Mathematical models
Automobile travel -- Mathematical models
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Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu:80/record=b10158439~S5
Li, Tao, "Analysis of nationwide intercity travel demand on the US transportation network" (2010). Masters Theses. 4490.
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