Within-Tour_Transportation_Journal_Submission_April2010_Revisions.pdf (1.74 MB)
Download file

The Validity of Using Activity Type to Structure Tour-based Scheduling Models

Download (1.74 MB)
journal contribution
posted on 02.03.2012, 00:00 by Sean T. Doherty, Abolfazl (Kouros) Mohammadian
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 of activity and tour-based travel demand models. However, the empirical results clearly do not support such assumptions. For instance, within out-of-home tours that had a mandatory activity, in less than half the cases was the mandatory activity actually planned first; 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 tending 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.


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.


Publisher Statement

Post print version of article may differ from published version. The original publication is available at springerlink.com; DOI: 10.1007/s11116-010-9285-x.


Springer Verlag





Issue date


Usage metrics