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In the traditional models, the probabilities associated with different travel scenarios (e.g., arriving early, on time and late) shown in the experiments are directly used as weights.
However, evidence from psychology suggests that the shown probabilities may be transformed (underweighted or overweighted) by respondents.
Travel time variability (i.e., random variations in travel time) leads to a travel time distribution for a repeated trip from a fixed origin to destination (e.g., from home to work).
To represent travel time variability, a series of possible travel times per alternative (departure time, route or mode) are often used in stated choice experiments.
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