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- W2243380317 abstract "Some analyses of predictive accuracy and transferability of disaggregate work-trip mode-choice models are reported. The prediction error is separated into three components: model error, aggregation error, and transfer error. The results show that the weighted root mean square of total error is between 25 and 60 percent of the predicted shares and the distribution of total error between error sources seems to depend on how well the model is transferred. The main results of the research are that (a) total forecasting errors may be large, especially if the model transfers poorly; (b) transferability between cities in which the transit shares are very different is poor; (c) market segmentation improves forecasting accuracy only marginally, if at all, and; (d) the type of level-of-service data, i.e., manually coded versus network based, used in model estimation and prediction has some bearing on forecasting accuracy, and the use of zonally averaged socioeconomic attributes appeared to be somewhat detrimental to prediction. These and other results are to be held tentative for reasons discussed in detail." @default.
- W2243380317 created "2016-06-24" @default.
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- W2243380317 date "1981-01-01" @default.
- W2243380317 modified "2023-09-22" @default.
- W2243380317 title "TRANSFERABILITY AND ANALYSIS OF PREDICTION ERRORS IN MODE-CHOICE MODELS FOR WORK TRIPS" @default.
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