An Analysis of Weekly Out-of-Home Discretionary Activity Participation and Time-Use Behavior

This paper presents an analysis and modeling of weekly activity-travel behavior using a unique multi-week activity-travel behavior data set collected in and around Zurich, Switzerland. The study focuses on six categories of discretionary activity participation to understand the determinants of, and the inter-personal and intra-personal variability in, weekly activity engagement at a detailed level. A panel version of the mixed multiple discrete continuous extreme value model (MMDCEV) that explicitly accounts for the panel (or repeated-observations) nature of the multi-week activity-travel behavior data set is developed and estimated. The model also controls for individual-level unobserved factors that lead to correlations in activity engagement preferences across different activity types. The findings highlight the high prevalence of intra-personal variability in discretionary activity engagement over a multi-week period. The panel MMDCEV model also helped identify the observed socio-economic factors and unobserved individual specific factors that contribute to variability in multi-week discretionary activity participation. This study may represent the first formulation and application of a panel MMDCEV structure in the econometric literature.

Language

  • English

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Filing Info

  • Accession Number: 01144669
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Oct 29 2009 4:11PM