Abstract
The principles of microeconomics and consumer demand theory are utilized to form the mathematical structure of urban travel demand models. Competition between the automobile and four different public transportation mode options is considered. The automobile, which competes with one of the public transport options in a transit corridor, is assumed to make up a competitive mode model system. A stepwise linear regression procedure has been used to calibrate and test statistical significance of each competitive mode model system. A sensitivity analysis has been performed to evaluate the effect of multicollinearity upon model parameter estimates. A calibration procedure that insures the model estimates are statistically valid and consistent is presented. An investigation of the Boston metropolitan area is used in a case study.
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