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Computer Simulation of Household Activity Scheduling

Author

Listed:
  • T Gärling
  • T Kalén
  • J Romanus
  • M Selart
  • B Vilhelmson

    (Department of Geography, School of Economics and Commercial Law, Göteborg University, Vasagatan 1, S-41180 Göteborg, Sweden)

Abstract

An operational model of household activity scheduling is proposed. The model is based on a theory entailing behavioral principles of how persons acquire, represent, and use information from and about the environment. Choices of destinations and departure times are consequences of the scheduling of a set of activities to be executed in a given time cycle. Illustrative computer simulations of the operational model show realistic effects of work hours, living in or outside the center, and travel speed. Several necessary improvements of the theory and operational model are discussed, such as incorporating learning effects and choice of travel mode for home-based trip chains. Strategies outlined for empirical tests include comparisons with existing models, psychological experiments illuminating basic assumptions, and the use of geographical information systems to process travel-diary data for single cases.

Suggested Citation

  • T Gärling & T Kalén & J Romanus & M Selart & B Vilhelmson, 1998. "Computer Simulation of Household Activity Scheduling," Environment and Planning A, , vol. 30(4), pages 665-679, April.
    • Handle: RePEc:sae:envira:v:30:y:1998:i:4:p:665-679
    DOI: 10.1068/a300665
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    References listed on IDEAS

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    1. Adler, Thomas & Ben-Akiva, Moshe, 1979. "A theoretical and empirical model of trip chaining behavior," Transportation Research Part B: Methodological, Elsevier, vol. 13(3), pages 243-257, September.
    2. Winston, Gordon C., 1987. "Activity choice : A new approach to economic behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 8(4), pages 567-585, December.
    3. Kitamura, Ryuichi, 1984. "A model of daily time allocation to discretionary out-of-home activities and trips," Transportation Research Part B: Methodological, Elsevier, vol. 18(3), pages 255-266, June.
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    Citations

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    Cited by:

    1. Bertil Vilhelmson & Eva Thulin, 2001. "Is Regular Work at Fixed Places Fading Away? The Development of ICT-Based and Travel-Based Modes of Work in Sweden," Environment and Planning A, , vol. 33(6), pages 1015-1029, June.
    2. Zhou, Jianyu Jack & Golledge, Reginald, 2004. "Real-time Tracking of Activity Scheduling/Schedule Execution Within A Unified Data Collection Framework," University of California Transportation Center, Working Papers qt4qp1f2h9, University of California Transportation Center.
    3. Mohammadian, Abolfazl & Doherty, Sean T., 2006. "Modeling activity scheduling time horizon: Duration of time between planning and execution of pre-planned activities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 475-490, July.
    4. Истратов В.А., 2014. "Моделирование Повседневного Планирования," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 50(3), pages 24-37, июль.
    5. Gärling, Tommy & Gärling, Anita & Johansson, Anders, 2000. "Household choices of car-use reduction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 309-320, June.
    6. Horn, M. E. T., 2002. "Multi-modal and demand-responsive passenger transport systems: a modelling framework with embedded control systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(2), pages 167-188, February.
    7. Calastri, Chiara & Hess, Stephane & Daly, Andrew & Carrasco, Juan Antonio, 2017. "Does the social context help with understanding and predicting the choice of activity type and duration? An application of the Multiple Discrete-Continuous Nested Extreme Value model to activity diary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 1-20.
    8. Zhou, Jianyu (Jack) & Golledge, Reginald, 2007. "Real-time tracking of activity scheduling/schedule execution within a unified data collection framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(5), pages 444-463, June.
    9. Chen, Quizi, 2001. "An Exploration of Activity Scheduling and Rescheduling Processes," University of California Transportation Center, Working Papers qt9kb4q6vt, University of California Transportation Center.
    10. Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
    11. Arentze, Theo A. & Timmermans, Harry J. P., 2004. "A learning-based transportation oriented simulation system," Transportation Research Part B: Methodological, Elsevier, vol. 38(7), pages 613-633, August.
    12. E W Linda Nijland & Theo A Arentze & Aloys W J Borgers & Harry J P Timmermans, 2009. "Individuals' Activity–Travel Rescheduling Behaviour: Experiment and Model-Based Analysis," Environment and Planning A, , vol. 41(6), pages 1511-1522, June.

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