Quantitative forecasting, an approach based on extrapolation from historical data, was another method (I05) no longer used.
While in practice both qualitative and quantitative forecasting methods are utilized, statistical approaches to forecasting employ quantitative methods.
These terminated approaches included consortium events, the Delphi method, experiential futures, market segmentation, quantitative forecasting, and scenario planning.
On the other hand, quantitative forecasting methods such as the SFDPH pedestrian injury collision model are not necessarily more effective than nonquantitative approaches for achieving policy change.
The findings indicated that foresight practitioners rarely used quantitative forecasting; quantitative forecasting is based on extrapolating from historical data.
The TDFS process comprises three stages preliminary data analysis, the generation of quantitative forecasts and judgmental adjustments which correspond to the three key system components: the data module, the quantitative forecasting module and the judgmental forecasting module, respectively.
These include consortium events, the Delphi method, experiential futures, market segmentation, quantitative forecasting, and scenario planning.
The proposed forecasting approach gives better forecasting accuracy: the MAPE has 8.1133% average value.
QPF can be generated on a quantitative, forecasting amounts, or a qualitative, forecasting the probability of a specific amount, basis.
The modeling and forecasting approach adopted in this study has a number of strengths.
