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Transportation

, Volume 38, Issue 1, pp 45–63 | Cite as

The validity of using activity type to structure tour-based scheduling models

  • Sean T. Doherty
  • Abolfazl Mohammadian
Article

Abstract

A unique set of activity scheduling data is utilized in this paper to provide much needed empirical analysis of the sequence in which activities are planned in everyday life. This is used to assess the validity of the assumption that activities are planned in accordance to a fixed hierarchy of activity types: mandatory activities first (work/school), followed by joint maintenance, joint discretionary, allocated maintenance, and individual discretionary activities. Such an assumption is typical of current generation activity and tour-based travel demand models. However, the empirical results clearly do not support such assumptions. For instance, fewer than 50% of mandatory activities were actually planned first in related out-of-home tours; remaining activity types also did not take any particular precedence in the planning sequence. Given this, a search was made for the more salient attributes of activities (beyond activity type) that would better predict how they are planned within tours. Several ordered response choice models for different tour sizes were developed for this purpose, predicting the choice order of the 1st, 2nd, 3rd, etc. planned activity in the tour as a function of activity type, activity characteristics (duration, frequency, travel time, and involved persons), and individual characteristics. Activity duration played the most significant role in the models compared to any other single variable, wherein longer duration activities tended to be planned much earlier in tours. This strongly suggests that the amount of time-use, rather than the nature of the event as indicated by activity type, is a primary driver of within-tour planning order and offers potential for a much improved and valid fit.

Keywords

Activity scheduling Tours Mandatory activities Discretionary activities Ordered choice model 

Notes

Acknowledgements

The authors would like to acknowledge the generous financial support received for this project from the Social Sciences and Humanities Research Council of Canada and from the GEOIDE (Geomatics for Informed Decisions) Network of Centres of Excellence Program of the Canadian federal research councils. Special thanks go to Joshua Auld for his assistance in table preparation, to the diligent field workers who collected the data, and all those who generously supplied their time in completing the survey.

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Copyright information

© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  1. 1.Department of Geography and Environmental StudiesWilfrid Laurier UniversityWaterlooCanada
  2. 2.Department of Civil and Materials EngineeringUniversity of Illinois at ChicagoChicagoUSA

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