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76 I N N O VAT I O N S I N T R AV E L D E M A N D M O D E L I N G , V O L U M E 2
CONCLUSIONS AND DISCUSSION Models of Activity-Travel Choice Dynamics. Transporta-
tion, Vol. 32, pp. 321340.
This paper has reported progress and plans in the devel- Arentze, T. A., and H. J. P. Timmermans. 2006. Multi-Agent
opment, testing, and implementation of a multiagent Models of Spatial Cognition, Learning, and Complex
activity-based model of (re)scheduling behavior called Choice Behavior in Urban Environments. In Complex Arti-
Aurora. An operational and extended version of this ficial Environments (J. Portugal, ed.), Spring Verlag, Berlin,
model will be developed specifically for Flanders, Bel- pp. 181200.
gium, under the acronym Feathers. Data collection for Bellemans, T., B. Kochan, D. Janssens, and G. Wets. 2005.
estimating the various components is on its way. Plans Collecting Activity-Travel Diary Data by Means of a GPS-
are to report the first empirical results in the near future. Enabled Personal Digital Assistant. Colloquium Vervoers-
Unlike the activity-based models mentioned in the planologisch Speurwerk, Vol. 32, Nov. 2425, pp.
paper's introduction, this model has the potential value to 21112131.
simulate short-term dynamics. As such, it should be pri- Bhat, C. R., J. Y. Guo, S. Srinivasan, and A. Sivakumar. 2004. A
marily relevant to simulate dynamics in day-to-day traffic Comprehensive Micro-Simulator for Daily Activity-Travel
flows and their environmental impacts. Its development Patterns. Proc., Conference on Progress in Activity-Based
into a model that can be used for longer-term assessment Models (CD-ROM), Maastricht, Netherlands, May 2831.
would require additional components. Such projects are on Han, Q., and H. J. P. Timmermans. 2006. Interactive Learning
their way as well but not part of Feathers at this stage. The in Transportation Networks Under Conditions of with
future will then tell whether the greater complexity implied Uncertainty, Bounded Rationality, And Strategic Choice
by these and other extensions will be feasible, not only Behavior: Quantal Response Model. In Transportation
from a modeling and computational standpoint but also in Research Record: Journal of the Transportation Research
relation to acceptance by practitioners and policy makers. Board, No. 1964, Transportation Research Board of the
National Academies, Washington, D.C., pp. 2734.
Joh, C.-H., T. A. Arentze, and J. J. P. Timmermans. 2003.
ACKNOWLEDGMENT Understanding Activity Scheduling and Rescheduling
Behaviour: Theory and Numerical Simulation. In Model-
The research program presented in this paper was sup- ling Geographical Systems (B. N. Boots, A. Okabe, and R.
ported by the Institute for the Promotion of Innovation Thomas, eds.), Kluwer Academic Publishers, Dordrecht,
by Science and Technology in Flanders. Netherlands, pp. 7395.
Joh, C.-H., T. A. Arentze, and H. J. P. Timmermans. 2004.
Activity-Travel Rescheduling Decisions: Empirical Estima-
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