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Ridership data for the express bus service in Knoxville, Tennessee, for the time period of September 1977 through August 1984 were analyzed to identify the effects of fare and other factors on transit usage. Most of the riders of the express bus service were employees of the Tennessee Valley Authority (TVA). The ridership data were adjusted for seasonal variation and fare was adjusted for inflation. A multiple regression analysis helped identify the significant independent variables. A model with the three independent variables of miles of travel, fare, and employment level was fairly accurate in predicting changes in daily ridership. The regression coefficients of the independent variables of the model were used to derive demand elasticity coefficients. The elasticity coefficient for fare, which was estimated to be minus 0.522, is higher than those revealed by other studies.
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