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Project Results
 Using this method a net response rate of almost 40% was achieved. The survey results include data on both trip-making and demographic characteristics of households in the region. From these data, the number of trips, or trip generation rate, for each type of trip was calculated by housing type, number of household members, and number of vehicles for several different life stages (i.e., working household with children, retired, etc.). The stated preference mode choice data were used to estimate coefficients of a mode choice model. These results were used to calibrate and validate the Tampa Regional Travel Forecasting Model.
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