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- W2273036431 abstract "Most econometric models assume steady-state conditions and a fully-equilibrated system when estimating unknown coefficients from real-world data. However, the estimated model can be biased when the data set used for the model estimation is drawn from non- or under-equilibrated traveler behavior. The resulting biased model could lead to a misunderstanding of the system. This paper examines such effects on discrete choice model estimation by performing Monte Carlo simulation experiments. We use a day-to-day dynamic evolutionary framework to observe changes in travelers' choice and to compare the estimated results during the adjustment process with the true behavior parameters." @default.
- W2273036431 created "2016-06-24" @default.
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- W2273036431 date "2002-08-01" @default.
- W2273036431 modified "2023-09-24" @default.
- W2273036431 title "Effects of Less-Equilibrated Data on Travel Choice Model Estimation" @default.
- W2273036431 hasPublicationYear "2002" @default.
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