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Mode choice models can be aggregated if they are based on aggregated zonal (and inter-zonal) information.
Statistical analyses and mixed logit mode choice models were used to explore intrapersonal variation and its effect on mode choice.
Table 5 contains results from the estimation of two specifications of mode choice models, using the data from the stated-preference survey.
The transport mode choice models were calibrated on the basis of the student's choices about their access trip to the university area.
Most studies have estimated transport mode choice models with an extended choice set using attributes such as average travel time and costs.
This paper aims at investigating the over-prediction of public transit ridership by traditional mode choice models estimated using revealed preference data.
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Results differ considerably depending on the travel mode choice model used in the simulation.
Then, a walk mode choice model is used to identify the subset of all trips made by walking.
The IES is designed in a way to provide the flexibility to adopt an alternative mode choice model that can give prediction of commuters' mode choice.
However, the generalised cost function, and mode choice model, the national transport model did not allow further modifications in this respect.
In [4] Horowitz presented a trip frequency, destination and mode choice modelling framework able to incorporate (still within a trip-based framework) some inter-trip dependencies.
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