A dynamic model of time-budget and activity generation: development and empirical derivation

Tijdschriftartikel

Arentze, T.A. & Timmermans, H.J.P. (2011). A dynamic model of time-budget and activity generation: development and empirical derivation. Transportation Research. Part C: Emerging Technologies, 19(2), 242-253. In Scopus Cited 12 times.

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Abstract

 

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.