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First published online January 1, 2008

Modeling Daily Activity–Travel Tour Patterns Incorporating Activity Scheduling Decision Rules

Abstract

The study develops a unique and practical model that can simulate daily patterns of activity travel for all household members including children and homemakers as well as workers and students. The activity–travel pattern model primarily adopts a tour-based structure in which tour is used as the base unit of modeling to preserve consistency in destination, mode, and time-of-day choices across trips. The unique feature of the model over other tour-based models in the literature is the incorporation of behavioral rules in the microsimulation process. These rules are derived from observed probabilities of activity scheduling behavior and are used to govern and modify generated activities by controlling for activity rescheduling, joint activity–tour generation, and household maintenance tour restriction. Data from a 4-day activity diary survey of nearly 4,000 individuals were used to develop models of weekday daily activity–travel patterns in the Jakarta, Indonesia, metropolitan area. Activity–travel patterns are defined by primary activity, primary tour type, and number and type of secondary tours. The model has a two-tier nested logit structure, with a choice of whether to go out of home to travel or stay at home all day in the upper tier and a choice of daily activity–travel pattern alternatives in the lower tier under the out-of-home choice. In addition to logsum from the time-of-day choice model, a variety of explanatory variables are included in the model. The effects of the explanatory variables are quite different from the effects of those models developed for the United States.

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References

1. Shiftan Y. Ben-Akiva M. Proussaloglou K. Jong G. Popuri Y. Kasturirangan K. and Bekhor S. Activity-Based Modeling as a Tool for Better Understanding Travel Behaviour. Presented at 10th International Conference on Travel Behaviour Research, Lucerne, Switzerland, 2003.
2. van der Hoorn T. Development of an Activity Model Using a One-Week Activity-Diary Data Base. In Recent Advances in Travel Demand Analysis (Carpenter S. and Jones P., eds.), Gower, Aldershot, United Kingdom, 1983, pp. 335–349.
3. Kitamura R. and Kermanshah M. Sequential Model of Interdependent Activity and Destination Choices. In Transportation Research Record 987, TRB, National Research Council, Washington, D.C., 1984, pp. 81–89.
4. Axhausen K. A Simultaneous Simulation of Activity Chains and Traffic Flow. In Developments in Dynamic and Activity-Based Approaches to Travel Analysis (Jones P., ed.), Avebury, Aldershot, United Kingdom, 1990, pp. 206–225.
5. Recker W. W. and McNally M. G. An Activity-Based Modeling Framework for Transportation Policy Evaluation. In Behavioural Research for Transportation Policy: The 1985 International Conference on Travel Behaviour, Nordwijk, VNU Science Press, Utrecht, Netherlands, 1986, pp. 31–52.
6. Ettema D. Borgers A. and Timmermans H. Simulation Model of Activity Scheduling Behavior. In Transportation Research Record 1413, TRB, National Research Council, Washington, D.C., 1993, pp. 1–11.
7. Golledge R. G. Kwan M. P. and Garling T. Computational-Process Modeling of Household Travel Decisions Using a Geographic Information System. Papers in Regional Science, Vol. 73, No. 2 1994, pp. 99–117.
8. Arentze T. A. and Timmermans H. J. P. Albatross: A Learning-Based Transportation Oriented Simulation System. European Institute of Retailing and Services Studies, Eindhoven, Netherlands, 2000.
9. Bhat C. R. Guo J. Y. Srinivasan S. and Sivakumar A. A Comprehensive Econometric Micro-Simulator for Daily Activity-Travel Patterns (CEMDAP). In Transportation Research Record: Journal of the Transportation Research Board, No. 1894, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 57–66.
10. Pendyala R. M. Kitamura R. Kikuchi A. Yamamoto T. and Fujii S. Florida Activity Mobility Simulator: Overview and Preliminary Validation Results. In Transportation Research Record: Journal of the Transportation Research Board, No. 1921, Transportation Research Board of the National Academies, Washington, D.C., pp. 123–130.
11. Salvini P. A. and Miller E. J. ILUTE: An Operational Prototype of a Comprehensive Microsimulation Model of Urban Systems. Networks and Spatial Economics, Vol. 5, 2005, pp. 217–234.
12. Vovsha P. Petersen E. and Donnelly R. Experience, Tendencies, and New Dimensions in the Application of Activity-Based Demand Modelling Systems for Metropolitan Planning Organizations in the United States. Presented at 10th International Conference on Travel Behaviour Research, Lucerne, Switzerland, 2003.
13. National Development Planning Agency (BAPPENAS). The Study on Integrated Transportation Master Plan for Jabodetabek (Phase 2). Final Report. Prepared by Pacific Consultants International and ALMEC Corporation for the Republic of Indonesia and Japan International Cooperation Agency, 2004.
14. Bowman J. L. and Ben-Akiva M. E. Activity-Based Disaggregate Travel Demand Model System with Activity Schedules. Transportation Research A, Vol. 35, 2000, pp. 1–28.
15. Bowman J. L. Bradley M. Shiftan Y. Lawton K. and Ben-Akiva M. E. Demonstration of an Activity Based Model System for Portland. Presented at 8th World Conference on Transport Research, Antwerp, Belgium, 1998.
16. Bradley M. Bowman J. L. and Lawton K. A Comparison of Sample Enumeration and Stochastic Microsimulation for Application of Tour-Based and Activity-Based Travel Demand Models. Presented at European Transport Conference, Cambridge, United Kingdom, 1999.
17. Miller E. J. and Roorda M. J. Prototype Model of Household Activity-Travel Scheduling. In Transportation Research Record: Journal of the Transportation Research Board, No. 1831, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 114–121.
18. Vovsha P. Petersen E. and Donnelly R. Impact of Intrahousehold Interactions on Individual Daily Activity-Travel Patterns. In Transportation Research Record: Journal of the Transportation Research Board, No. 1898, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 87–97.
19. Yagi S. and Mohammadian A. An Exploratory Analysis of Intra-Household Joint Activity-Travel Tours in the Jakarta Metropolitan Area. Proc., 6th Transportation Specialty Conference of the Canadian Society of Civil Engineers (CSCE), Toronto, Ontario, Canada, 2005.

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Article first published online: January 1, 2008
Issue published: January 2008

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© 2008 National Academy of Sciences.
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Authors

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Sadayuki Yagi
Pacific Consultants International, 7-5, Sekido 1-chome, Tama-shi, Tokyo 206-8550, Japan.
Abolfazl (Kouros) Mohammadian
Department of Civil and Materials Engineering, University of Illinois at Chicago, 842 West Taylor Street, Chicago, IL 60607-7023.

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