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- W1489769377 abstract "Uncertainty about the future and the possibility of major changes are problems that face all transit systems. As a tool in facing these uncertainties, contained in this paper is an exploration of the possibility of predicting total annual revenues for transit systems based on the revenue collected part of the way through the year. Six Wisconsin cities representing three city sizes (large, medium, and small) were used as a case study. A single prediction along with the limits of the 95 percent confidence interval were computed. Also, the percentage errors (as compared to the actual annual revenues) were calculated and the distribution of these errors was examined. The findings revealed that the proposed method is applicable to the Milwaukee County Transit System because it results in a prediction of annual revenue that will have less than 5 percent error 95 percent of the time. This method was also found to be applicable to small Wisconsin cities. However, in the case of the only medium Wisconsin city, the percentage error was higher because of anomalies in some of the data." @default.
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- W1489769377 date "1986-04-11" @default.
- W1489769377 modified "2023-09-26" @default.
- W1489769377 title "PREDICTING ANNUAL TRANSIT FARE REVENUE FROM MIDYEAR RESULTS" @default.
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