A model for work activity schedules with synchronization for multiple-worker households

This paper presents a hybrid discrete choice-duration model for work activity scheduling with interactions between workers in a multiple-worker household. The model operates in discrete space with a fine level of temporal resolution. The key innovative feature of the model is the introduction of intra-household interactions through worker schedule synchronization mechanisms. The model was estimated based on a large Household Travel Survey from the San Francisco Bay Area. The estimation results confirmed that individual work schedules for workers in a multiple-worker household are subject to strong synchronization and should be modelled jointly rather than independently. In particular, workers in the same household tend to align their schedules and create time window overlaps for joint activities before and after work. Relative strength of the synchronization mechanisms proved to be a function of the person characteristics and household composition.

[1]  Junyi Zhang,et al.  Representing household time allocation behavior by endogenously incorporating diverse intra-household interactions: A case study in the context of elderly couples , 2006 .

[2]  Chandra R. Bhat,et al.  Modeling intra-household interactions and group decision-making , 2005 .

[3]  Andrew Daly,et al.  Group Behavior Modeling , 2009 .

[4]  Khandker Nurul Habib,et al.  Social Context of Activity Scheduling , 2008 .

[5]  H. Timmermans,et al.  An Empirical Comparison of Alternative Models of Household Time Allocation , 2005 .

[6]  S. Srinivasan.  Modeling household interactions in daily activity generation , 2004 .

[7]  Mark Bradley,et al.  White Paper for the Conference on Innovations in Travel Demand Modeling, Austin, TX, May 2006 A Summary of Design Features of Activity-Based Microsimulation Models for U.S. MPOs , 2006 .

[8]  Thomas F Rossi,et al.  Modeling Time-of-Day Choice in Context of Tour- and Activity-Based Models , 2006 .

[9]  Moshe Ben-Akiva,et al.  Time-of-Day Modeling in a Tour-Based Context , 2008 .

[10]  Peter Vovsha,et al.  Hybrid Discrete Choice Departure-Time and Duration Model for Scheduling Travel Tours , 2004 .

[11]  Peter Vovsha,et al.  Design Features of Activity-Based Models in Practice , 2011 .

[12]  H. Timmermans,et al.  Modeling household activity travel behavior: Examples of state of the art modeling approaches and research agenda , 2009 .

[13]  Harry Timmermans,et al.  Progress in Activity-Based Analysis , 2005 .