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Models for analysing trip-level data

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Abstract

A model for the number of trips undertaken by a household is developed. The decision is represented as having a nested structure. It is found that generic data are potentially very much more informative than are background data on household characteristics, and it is concluded that there are gains, in terms of improved models, to be made by exploiting this data source.

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