Skip to main content

The Development of a Unified Modeling Framework for the Household Activity-Travel Scheduling Process

  • Conference paper
Traffic and Mobility

Abstract

The goal of this paper is to propose a new approach to activity-travel schedule modeling that provides a unifying framework for past research in different areas. This approach is based on empirical evidence gathered using a Computerized Household Activity SchEduling (CHASE) survey. The survey provided a means to examine the underlying scheduling behavior of household over a one week period as it occurs in reality. Results show that a clear distinction can be made between routine scheduling decisions that are pre-planned before the week commences, and the more short-term, impulsive, opportunistic decisions made as the schedule is executed during the week. This distinction allows one to conceptualize the modeling task as a multi-stage process, wherein routine planning is approached with existing optimization models (assuming that routine activities are the result of a long-term thought and experimentation process) followed by a more sub-optimal rule-based simulation model to replicate the decisions process during the week within the constructs of the optimal routine plan. Such a model is proposed in this paper as a long term development, and would rely on the type of data provided by new data collection techniques such as CHASE. Operationalization of the model as an event-oriented simulation is proposed. Various components of the model are explored in detail, and discussed within context of existing models.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. D. Ettema and H. Timmermans, Theories and models of activity patterns. In: Activity-based approaches to travel analysis, eds. D. Ettema and H. Timmermans, 1–36 (Pergamon, Oxford, 1997).

    Google Scholar 

  2. J.L. Bowman and M. Ben-Akiva, Activity-based travel forecasting. In: Summary, Recommendations and Compendium of Papers from the Activity-based Travel Fore­casting Conference, June 2–5, 1996, 3–36. Sponsored by the Travel Model Improve­ment Program (1997).

    Google Scholar 

  3. K.W. Axhausen and T. Gärling, Activity-based approaches to travel analysis: con­ceptual frameworks, models, and research problems. Transport Reviews 12(4): 323-­341 (1992).

    Article  Google Scholar 

  4. R. Kitamura, C. Chen, R. Pendyala and R. Narayanam, Micro-simulations of daily activity-travel patterns for travel demand forecasting. Paper presented at The Eighth Meeting of the International Association of Travel Behaviour Research, Austin, Texas. September 21–25 (1997).

    Google Scholar 

  5. R. Kitamura and M. Kermanshah, Identifying time and history dependencies of activity choice. Transportation Research Record 944: 22–30 (1983).

    Google Scholar 

  6. T. van der Hoorn, Development of an activity model using a one-week activity-diary data base. In Recent Advances in Travel Demand Analysis, ed. S. Carpenter, and P. Jones, 335–349 (Gower, Aldershot, 1983).

    Google Scholar 

  7. P.M. Jones, M.C. Dix, M.I. Clarke and I.G. Heggie, Understanding travel behaviour (Gower, Aldershot, 1983).

    Google Scholar 

  8. W.W. Recker, M.G. McNally and G.S. Root, A model of complex travel behavior: Part I - Theoretical development. Transportation Research 20A(4): 307–318 (1986).

    Google Scholar 

  9. W.W. Recker, M.G. McNally and G.S. Root, A model of complex travel behavior: Part II - An operational model. Transportation Research 20A(4): 319–330 (1986).

    Google Scholar 

  10. S. Kawakami and T. Isobe, Development of a one-day travel-activity scheduling model for workers. In Developments in dynamic and activity-based approaches to travel analysis,ed. P. Jones, 184–205 (Avebury, Aldershot, 1990).

    Google Scholar 

  11. J. Bowman and M. Ben-Akiva, Activity-based model system of urban passenger travel demand. Paper presented at the Transportation Research Board 74th Annual Meeting, January 22–28, Washington, DC (1995).

    Google Scholar 

  12. J. L. Bowman, M. Bradley, Y. Shiftan, T. K. Lawton and M.E. Ben-Akiva, Demon­stration of an activity based model system for Portland. Paper presented at The 8th World Conference on Transport Research, Antwerp, June (1998).

    Google Scholar 

  13. T. Gärling, Behavioural assumptions overlooked in travel choice modelling. Paper presented at the Seventh International Conference on Travel Behaviour, Santiago, Chile, June 13–16 (1994).

    Google Scholar 

  14. J.W. Payne, J.R. Beaman, E. Coupey and E.J. Johnson, A constructive process view of decision making: multiple strategies in judgment and choice. Acta Psy­chologica 80: 107–141 (1992).

    Article  Google Scholar 

  15. B. Hayes-Roth and F. Hayes-Roth, A cognitive model of planning. Cognitive Sci­ence 3: 275–310 (1979).

    Article  Google Scholar 

  16. T. Gärling, M.-P. Kwan and R.G. Golledge,. Computational-process modelling of household activity scheduling. Transportation Research 28B(5): 355–364 (1994).

    Google Scholar 

  17. T. Gärling, M.-P. Kwan and R. G. Golledge, Computational-process modelling of household travel decisions using a geographic information system. Papers in Regional Science 73(2): 99–117 (1994).

    Google Scholar 

  18. D. Ettema, A. Borgers and H Timmermans, Simulation model of activity schedul­ing behavior. Transportation Research Record 1413: 1–11 (1993).

    Google Scholar 

  19. C.G. Lundberg, On the structuration of multiactivity task-environments. Environ­ment and Planning 20A: 1603–1621 (1988).

    Google Scholar 

  20. T. Gärling, T. Kal¨¦n, J. Romanus and M. Selart, Computer simulation of household activity scheduling. Environment and Planning A 30: 665–679 (1998).

    Google Scholar 

  21. M. Vause, A rule-based model of activity scheduling behavior. In: Activity-based approaches to travel analysis, eds. D. Ettema and H. Timmermans, 73–88 (Pergamon, Oxford, 1997).

    Google Scholar 

  22. D. Ettema, A. Borgers and H. Timmermans, Using interactive computer experi­ments for identifying activity scheduling heuristics. Paper presented at the Seventh International Conference on Travel Behaviour, Valle Nevado, Satiago, Chile, June 13–16 (1994).

    Google Scholar 

  23. E.I. Pas, State-of-the-art and research opportunities in travel demand: another per­spective. Transportation Research A 19: 460–464 (1985).

    Article  Google Scholar 

  24. J. Polak and P. Jones, A tour-based model of journey scheduling under road pric­ing. Paper presented at the 73rd Annual Meeting of the Transportation Research Board, Washington, D.C. (1994).

    Google Scholar 

  25. M. Wegener, Current and future land use models. Paper presented at the Travel Model Improvement Program’s Land Use Models Conference, Dallas, Texas, February 19–22 (1995).

    Google Scholar 

  26. M. Wegener, Applied models of urban land use, transport and environment: State of the art and future developments. To appear in: Network Infrastructure and the Ur­ban Environment: Recent Advance in Land-use/Transportation Modeling (Sprinter Verlag, New York, 1998).

    Google Scholar 

  27. C. Barrett, K. Berkbigler, L. Smith, V. Loose, R. Beckman, J. Davis, D. Roberts and M. Williams, An operational description of TRANSIMS (Los Alamos National Laboratory, New Mexico, 1995). Report LA-UR-95–2393.

    Google Scholar 

  28. L. Smith, R. Beckman, K. Baggerly, D. Anson and M. Williams, TRANSIMS: TRansportation ANalysis and SIMulation System: Project summary and status. (Los Alamos National Laboratory, Mexico, 1995).

    Book  Google Scholar 

  29. R. Beckman, TRANSIMS methods. Presentation at the Activity-Based Travel Forecasting conference, June 2–5, New Orleans, Louisiana (1996).

    Google Scholar 

  30. K.W. Axhausen and P.B. Goodwin, EUROTOPP: Towards a dynamic and activity-based modelling framework. In Advanced Telematics in Road Transport, 1020–1039 (Elsevier, Amsterdam, 1991).

    Google Scholar 

  31. E.J. Miller and P.A. Salvini, A microsimulation approach to the integrated model­ing of land use, transportation and environmental impacts. Paper presented at: The 76th Annual Meeting of the Transportation Research Board, Washington, D.C., January 11–15 (1998).

    Google Scholar 

  32. S.H. Putnam, EMPAL and DRAM Location and Land Use Models: an overview. Paper presented at the Land Use Modeling Conference, Dallas, TX, February 19–21 (1995).

    Google Scholar 

  33. S.T. Doherty and E.J. Miller, Tracing the household activity scheduling process using a one week computer-based survey. Paper presented at The Eighth Meeting of the International Association of Travel Behaviour Research, Austin, Texas. September 21­25 (1997).

    Google Scholar 

  34. G.C. Winston, The Tinting of Economic Activities. Cambridge: Cambridge Univer­sity Press (1982).

    Google Scholar 

  35. J. Supernak, Temporal utility profiles of activities and travel: Uncertainty and decision making, Transportation Research B, 26B (1): 61–76 (1992).

    Google Scholar 

  36. T. Gärling, M.-P. Kwan and R. G. Golledge, Computational-process modelling of household travel decisions using a geographic information system. Papers in Regional Science 73(2): 99–117 (1994b).

    Google Scholar 

  37. I. Cullen and V. Godson, Urban networks: the structure of activity patterns. Prog­ress in Planning 4(1): 1–96 (1975).

    Article  Google Scholar 

  38. R. Kitamura, Sequential, history-dependent approach to trip-chaining behavior. Transportation Research Record 944: 13–22 (1983).

    Google Scholar 

  39. K.W. Axhausen, A simultaneous simulation of activity chains and traffic flow. In Developments in dynamic and activity-based approaches to travel analysis, ed. P. Jones, 206–225 (Avebury, Aldershot, 1990).

    Google Scholar 

  40. K.W. Axhausen, J. Polak, M. Boltze and J. Puzicha, Effectiveness of the parking guidance system in Frankfurt/Main. Traffic Engineering and Control, 35 (5): 304–309 (1994).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Doherty, S.T., Axhausen, K.W. (1999). The Development of a Unified Modeling Framework for the Household Activity-Travel Scheduling Process. In: Brilon, W., Huber, F., Schreckenberg, M., Wallentowitz, H. (eds) Traffic and Mobility. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60236-8_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-60236-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-64316-3

  • Online ISBN: 978-3-642-60236-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics