Journal article
A dynamic model of time-budget and activity generation: Development and empirical derivation
Urban Planning Group, Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands
In this paper we extend and explore a method to estimate dynamic models of activity generation on 1-day travel diary data. Dynamic models predict longitudinal activity patterns of individuals taking into account dynamic needs as well as day-varying preferences and time-budgets. We show how 1-day work time observation probabilities can be derived from proposed dynamic models as a function of a model’s parameters and, with that, how budget-constraints and activity parameters can be estimated using standard loglikelihood estimation.
The results of an application on data from a national travel survey are well interpretable. Moreover longitudinal activity patterns predicted by the model have approximately the same statistical characteristics as the 1-day sample data from the survey. We conclude therefore that the proposed method opens up a way to develop a next generation of dynamic activity-based models of travel demand.
Language: | English |
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Year: | 2011 |
Pages: | 242-253 |
ISSN: | 18792359 and 0968090x |
Types: | Journal article |
DOI: | 10.1016/j.trc.2010.05.011 |