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D Y N A M I C A C T I V I T Y- T R AV E L D I A RY D ATA C O L L E C T I O N 97 REFERENCES Kreitz, M., and S. T. Doherty. 2002. Spatial Behavioral Data: Collection and Use in Activity Scheduling Models. In Trans- Doherty, S. T., and E. J. Miller. 2000. A Computerized House- portation Research Record: Journal of the Transportation hold Activity Scheduling Survey. Transportation, Vol. 27, Research Board, No. 1804, Transportation Research Board No. 1, pp. 7597. of the National Academies, Washington, D.C., pp. 126133. Doherty, S. T., N. Noel, M.-L. Gosselin, C. Sirois, and M. Lee, M. S., S. T. Doherty, R. Sabetiashraf, and M. G. McNally. Ueno. 2001. Moving Beyond Observed Outcomes: Inte- 2000. Conducting an Interactive Survey of Household grating Global Positioning Systems and Interactive Weekly Activities via Internet: Preliminary Results from a Computer-Based Travel Behavior Surveys. In Transporta- Pilot Study. In Proc., 9th International Association for tion Research Circular E-C026, Personal Travel: The Long Travel Behaviour Research Conference (D. Hensher, ed.), and Short of It, TRB, National Research Council, Wash- Queensland, Australia, July 27. ington, D.C., pp. 449466. Zhou, J. 2003. Real-Time Tracking of Activity Scheduling Joh, C. H. 2004. Measuring and Predicting Adaptation in Schedule Execution Within Unified Data Collection Frame- Multidimensional Activity-Travel Patterns. CIP-Data work. Presented at 83rd Annual Meeting of the Transporta- Koninklijke Bibliotheek, The Hague, Netherlands. tion Research Board.