01099280

Component

Activity-travel behavior research has hitherto focused on the modeling and understanding of daily time use and activity patterns and resulting travel demand. In this particular paper, an analysis and modeling of weekly activity-travel behavior is presented using a unique multi-week activity-travel behavior data set collected in and around Zurich, Switzerland. The paper focuses on six categories of discretionary activity participation with a view to understand the inter-personal and intra-personal variability in weekly activity engagement at a detailed level. The analysis is motivated by the need to understand discretionary activity engagement on a broader time scale than the typical one-day analysis that pervades the activity-travel behavior literature. A panel version of the Mixed Multiple Discrete Continuous Extreme Value model (MMDCEV) that explicitly accounts for the panel nature of the multi-week activity-travel behavior data set is developed and estimated on the data set. The analysis suggests the high prevalence of intra-personal variability in discretionary activity engagement over a multi-week period along with inter-personal variability that is typically considered in activity-travel modeling. In addition, the panel MMDCEV model helped identify the observed socio-economic factors and unobserved individual specific factors that contribute to variability in multi-week discretionary activity participation.

01084478

08-2348

English

0000-0002-0715-8121

25p

2008

Transportation Research Board 87th Annual Meeting

DVD

Figures (1) ; References; Tables (6)

Activity centers; Activity choices; Traffic estimation; Travel behavior; Travel demand; Travel patterns; Travel surveys

Multiple discrete continuous extreme value model

Zurich (Switzerland)

Highways; Planning and Forecasting; Public Transportation; Society; Terminals and Facilities; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2008 Paper #08-2348

TRIS, TRB

Jan 29 2008 4:43PM