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 thepanel 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 MMDCEVmodel helped identify the observed socio-economic factors and unobserved individual specific factors that contribute to variability in multi-week discretionary activity participation.
Samenvatting