Abstract
Inspired by Hagerstrand’s time geography, the activity-based modelling approach has become an active area of research since the mid 90s in transportation research (Ettema and Timmermans, 1997). As a consequence, it has regained interest in geography as well. The central concept underlying the activity-based approach is that travel is derived from the participation in activities instead of being pursued for its own sake, and therefore, the understanding, analysis and forecasting of travel behaviour should be based on the understanding of activities (Burnett and Hanson, 1982). Individuals try to meet their personal and family needs by participating in activities in everyday life, subject to a set of constraints. In the process of organising activities in time and space, travel is derived as a by-product to overcome the distance between activity locations. Any direct causation of socio-demographic characteristics and the physical environment to travel behaviour without explicitly considering the choice of activity participation may, therefore, be incorrect or at least theoretically inappropriate.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Arentze, T.A., F. Hofman, H. Van Mourik and H.J.P. Timmermans (2000), `Albatross: A multi-agent rule-based model of activity pattern decisions.’ Transportation Research Record, 1706, 136–144.
Arentze, T., M. Dijst, E. Dugundji, C.H. Joh, L. Kapoen, S. Krijgsman, K. Maat, H Timmermans and J. Veldhuisen, J. (2001), The Amadeus Program: Scope and Conceptual Development. Paper presented at the 9th World Conference on Transportation Research, Seoul, July.
Bhat, C.R. and F.S. Koppelman (1993), `A conceptual framework of individual activity program generation.’ Transportation Research A, 27, 433–446.
Bhat, C.R. and Koppelman, F.S. (2000), Activity-Based Travel Demand Analysis: History, Results and Future Directions. Paper presented at the 79th Annual Meeting of the Transportation Research Board, Washington DC, January.
Bowman, J.L. and M.E. Ben-Akiva (2000), `Activity-based disaggregate travel demand model system with activity schedules.’ Transportation Research A, 35, 1–28.
Burnett, P. and S. Hanson (1982), `The analysis of travel as an example of complex human behaviour in spatially-constrained situations: Definition and measurement issues.’ Transportation Research A, 16, 87–102.
Damm D. and S.R. Lerman (1981), `A theory of activity scheduling behaviour.’ Environment and Planning A, 13, 703–718.
Doherty, S.T. and E.J. Miller (2000), `A computerised household activity scheduling behaviour.’ Transportation, 27, 75–97.
Ettema, D., A. Borgers and H Timmermans (1993), `A simulation model of activity scheduling behaviour.’ Transportation Research Record, 1413, 1–11. and H.J.P. Timmermans (eds.), Activity-Based Approaches to Travel Analysis. Pergamon, Oxford, pp. 1–36.
Fujii, S., R. Kitamura and T. Monma (1998), A Utility-Based Micro-Simulation Model System of Individuals’ Activity-Travel Patterns. Paper presented at the 77th Annual Meeting of the Transportation Research Board, Washington D.C., January.
Gärling, T., Kwan, M.P. and Golledge, R.G. (1994), `Computational-process modelling of household activity scheduling.’ Transportation Research B, 28, 355–364.
Gärling, T., T. Kalen, T. Romanus and M. Selart (1998), `Computer simulation of household activity scheduling.’ Environment and Planning A, 30, 665–679.
Gärling, T., R. Gillholm and W. Montgomery (1999), `The role of anticipated time pressure in activity scheduling.’ Transportation, 26, 173–191.
Joh, C.H., T.A. Arentze and H.J.P. Timmermans (2001), Towards a Theory and Simulation Model of Activity-Travel Rescheduling Behavior. Paper presented at the 9th World Conference on Transportation Research, Seoul, July.
Joh, C.H., T.A. Arentze and H.J.P. Timmermans (2002), Modelling Individuals’ Activity-Travel Rescheduling Heuristics: Theory and Numerical Experiments. Paper accepted for presentation at the 81st Annual Meeting of the Transportation Research Board, Washington DC, January.
Jones, P., M. Dix, M. Clarke and I. Heggie (1983), Understanding Travel Behaviour. Gower, Aldershot.
Kitamura, R., T. Yamamoto and S. Fujii (1996), `A discrete-continuous analysis of time allocation to two types of discretionary activities which accounts for unobserved heterogeneity.’ In J.B. Lesort (ed.), Transportation and Traffic Theory. Elsevier, Oxford, pp. 431–453.
McNally, M.G. (1997), `An activity-based micro-simulation model for travel demand forecasting.’ In D. Ettema and H.J.P. Timmermans (eds.), Activity-based Approaches to Travel Analysis. Pergamon, Oxford, pp. 37–54.
Pred, A. (1981), `Of paths and projects: Individual behavior and its societal context.’ In K.R. Cox and R.G. Golledge (eds.), Behavioural Problems in Geography Revisited. Methuen, London, pp. 231–256.
Recker, W.W., M.G. McNally and G.S. Root (1985), `Travel/activity analysis: Pattern recognition, classification and interpretation.’ Transportation Research A, 19, 279–296.
Recker, W.W. (1995), `The household activity pattern problem: General formulation and solution.’ Transportation Research B, 29, 61–77.
Supernak, J. (1988), `A dynamic interplay of activities and travel: Analysis of time of day utility profiles.’ In P. Jones (ed.), Developments in Dynamic and Activity-Based Approaches to Travel Analysis. Avebury, Aldershot, 99–122.
Thrift, N.J. (1983), `On the determination of social action in space and time.’ Environment and Planning D, 1, 23–57.
Timmermans, H.J.P., T.A. Arentze and C.H. Joh (2001), `Modelling the effects of anticipated time pressure on the execution of activity programs.’ To appear in Transportation Research Record.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Joh, CH., Arentze, T.A., Timmermans, H.J.P. (2003). Understanding Activity Scheduling and Rescheduling Behaviour: Theory and Numerical Illustration. In: Boots, B., Okabe, A., Thomas, R. (eds) Modelling Geographical Systems. The GeoJournal Library, vol 70. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2296-4_5
Download citation
DOI: https://doi.org/10.1007/978-94-017-2296-4_5
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-6104-1
Online ISBN: 978-94-017-2296-4
eBook Packages: Springer Book Archive