ABSTRACT
Mathematical models are an inescapable part of the analysis of almost any major public transportation project. But the skills required both to use and interpret the results from computerized implementations of mathematical models (computer models) can be quite specialized. Plus, the data collection and validation efforts required in order to build models can be very extensive. Thus, the analyst will often have to accept results from models run by others or even reject them on some occasions.
