TRIP GENERATION BY CROSS-CLASSIFICATION: AN ALTERNATIVE METHODOLOGY.

An alternative methodology for calibrating cross-classification models, namely multiple classification analysis (MCA), is described. The MCA procedure is described briefly, and its merits - in terms of statistical assessment, ability to permit comparisons among alternative models, and lack of susceptibility to small samples is individual cells - are discussed in detail. In addition, the method is based on analysis of variance (ANOVA). These procedures are contrasted with standard procedures for cross-classification. The process of selecting independent variables and selecting groupings of the chosen variables by ANOVA is illustrated with a case study. A second case study illustrates the use of MCA to calculate trip rates.