Aggregate vehicle travel forecasting model
Author(s) -
D.L. Greene,
Shih-Miao Chin,
R. D. Gibson
Publication year - 1995
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/97193
Subject(s) - dematerialization (economics) , aggregate (composite) , computer science , term (time) , commercial vehicle , transport engineering , stock (firearms) , fleet management , engineering , automotive engineering , economics , materials science , physics , quantum mechanics , mechanical engineering , composite material , microeconomics
This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment
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