Activity Travel Planning and Rescheduling Behavior: Empirical Analysis of Influencing Factors
Abstract
Travel behavior research of the past few years has shown an increasing interest in dynamic activity scheduling. Research was done to analyze factors influencing the actual activity scheduling process by using detailed activity travel data from an extensive data set collected in Flanders (Belgium). A model examines the attributes that influence activity planning; a second model analyzes the factors that affect activity rescheduling. The explanatory variables considered in both models are individual, household, activity, and schedule attributes, and their impact is analyzed by using mixed logit models. Random effects are added to the models to test for within-individual variance. The results reveal that activity and schedule characteristics considerably affect activity planning. The rescheduling model also has several highly significant activity and schedule attributes. Most individual and household attributes considered do not influence activity planning and rescheduling behavior, although strong statistical evidence indicates that individual-specific preferences for planning and rescheduling determine the process of activity scheduling.
Get full access to this article
View all access and purchase options for this article.
References
1. Gärling T., Kalén T., Romanus J., Selart M., and Vilhelmson B. Computer Simulation of Household Activity Scheduling. Environment and Planning A, Vol. 30, No. 4, 1998, pp. 665–679.
2. Arentze T. A., and Timmermans H. J. P. Albatross: A Learning-Based Transportation Oriented Simulation System. EIRASS, Eindhoven University of Technology, The Hague, Netherlands, 2000.
3. 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., 2005, pp. 123–130.
4. 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.
5. Doherty S. T. Should We Abandon Activity Type Analysis? Presented at 10th International Conference on Travel Behaviour Research, Lucerne, Switzerland, 2003.
6. Ruiz T., Polak J. W., and Joh C.-H. Empirical Analysis of Factors Affecting the Resolution of Activity-Scheduling Conflicts. In Transportation Research Record: Journal of the Transportation Research Board, No. 1926, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 50–60.
7. Gärling T., Gillholm T., and Montgomery W. The Role of Anticipated Time Pressure in Activity Scheduling. Transportation, Vol. 26, No. 2, 1999, pp. 173–191.
8. Timmermans H., Arentze T., and Joh C.-H. Modeling Effects of Anticipated Time Pressure on Execution of Activity Programs. In Transportation Research Record: Journal of the Transportation Research Board, No. 1752, Transportation Research Board of the National Academies, Washington, D.C., 2001, pp. 8–15.
9. Joh C.-H., Arentze T., and Timmermans P. Activity-Travel Scheduling and Rescheduling Decision Processes: Empirical Estimation of Aurora Model. In Transportation Research Record: Journal of the Transportation Research Board, No. 1898, Transportation Research Board of the National Academies, Washington, D.C., 2004, pp. 10–18.
10. Timmermans H., Arentze T., and Joh C. H. Modeling Learning and Evolutionary Adaptation Processes in Activity Settings: Theory and Numerical Simulations. In Transportation Research Record: Journal of the Transportation Research Board, No. 1718, Transportation Research Board of the National Academies, Washington, D.C., 2000, pp. 27–33.
11. Doherty S. T., and Miller E. J. A Computerized Household Activity Scheduling Survey. Transportation, Vol. 27, 2000, pp. 75–97.
12. Ettema D., Borgers A. W. J., and Timmermans H. J. P. Using Interactive Computer Experiments for Identifying Activity Scheduling Heuristics. Presented at 7th International Conference on Travel Behaviour Research, Valle Nevada, Chile, 1994.
13. Lee M. S., and McNally M. G. Experiments with a Computerized Self-Administrative Activity Survey. In Transportation Research Record: Journal of the Transportation Research Board, No. 1752, Transportation Research Board of the National Academies, Washington, D.C., 2001, pp. 91–99.
14. Mohammadian A., and Doherty S. T. Mixed Logit Model of Activity-Scheduling Time Horizon Incorporating Spatial–Temporal Flexibility Variables. In Transportation Research Record: Journal of the Transportation Research Board, No. 1926, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 33–40.
15. Mohammadian A., and Doherty S. T. Modeling Activity Scheduling Time Horizon: Duration of Time Between Planning and Execution of Pre-Planned Activities. Transportation Research A: Policy and Practice, Vol. 40, 2006, pp. 475–490.
16. Roorda M. J., and Miller E. J. Strategies for Resolving Activity Scheduling Conflicts: An Empirical Analysis. In Progress in Activity-Based Analysis (Timmermans H. J. P., ed.), Elsevier Science, Oxford, United Kingdom, 2005, pp. 203–222.
17. Joh C.-H., Doherty S. T., and Polak J. W. Analysis of Factors Affecting the Frequency and Type of Activity Schedule Modification. In Transportation Research Record: Journal of the Transportation Research Board, No. 1926, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 19–25.
18. Ruiz T., and Timmermans H. J. P. Changing the Timing of Activities in Resolving Scheduling Conflicts. Transportation, Vol. 33, 2006, pp. 429–445.
19. Ruiz T., and Timmermans H. J. P. Changing the Duration of Activities in Resolving Scheduling Conflicts. Transportation Research A: Policy and Practice, Vol. 42, No. 2, 2008, pp. 347–359.
20. Roorda M. J., and Andre B. K. A Stated Adaptation Survey of Activity Rescheduling: Empirical and Preliminary Model Results. In Transportation Research Record: Journal of the Transportation Research Board, No. 2021, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 45–54.
21. Doherty S. T. How Far in Advance Are Activities Planned? Measurement Challenges and Analysis. In Transportation Research Record: Journal of the Transportation Research Board, No. 1926, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 41–49.
22. Cools M., Moons E., Bellemans T., Janssens D., and Wets G. Surveying Activity-Travel Behavior in Flanders: Assessing the Impact of the Survey Design. Transportation Research Institute, Hasselt University, Diepenbeek, Belgium, 2008.
23. Janssens D., Wets G., Timmermans H. J. P., and Arentze T. A. Modelling Short-Term Dynamics in Activity-Travel Patterns: The Feathers Model. Presented at 11th World Conference on Transportation Research, Berkeley, Calif., 2007.
24. Bellemans T., Kochan B., Janssens D., Wets G., and Timmermans H. J. P. Field Evaluation of Personal Digital Assistant Enabled by Global Positioning System: Impact on Quality of Activity and Diary Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 2049, Transportation Research Board of the National Academies, Washington, D.C., 2008, pp. 136–143.
25. Statistics Belgium. FOD Economie, Algemene Directie Statistiek en Economische Informatie, Dienst Demografie, 2008. www.statbel.fgov.be. Accessed Nov. 1, 2008.
26. Glorieux I., Coppens K., Koelet S., Moens M., and Vandeweyer J. Vlaanderen in Uren En Minuten. De Tijdsbesteding Van De Vlamingen in 480 Tabellen. VUB Press, Brussels, Belgium, 2002.
27. Littell R. C., Milliken G. A., Stroup W. W., Wolfinger R. D., and Schabenberger O. SAS for Mixed Models, 2nd ed., SAS Press, Cary, N.C., 2006.
28. Ben-Akiva M. E., and Lerman S. R. Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press, Cambridge, Mass., 1985.
29. Fishbein M., Triandis H. C., Kanfer F. H., Becker M., Middlestadt S. E., and Eichler A. Factors Influencing Behavior and Behavior Change. In Handbook of Health Psychology. (Baum A., Revenson T. A., and Singer J. E., eds.), Lawrence Erlbaum, Mahway, N.J., 2001, pp. 3–17.
30. Gillholm R., and Gärling T. Determinants of Implementation Intentions. Department of Psychology, Göteborg University, Göteborg, Sweden, 1997.
Cite article
Cite article
Cite article
OR
Download to reference manager
If you have citation software installed, you can download article citation data to the citation manager of your choice
Information, rights and permissions
Information
Published In
Article first published online: January 1, 2009
Issue published: January 2009
Authors
Metrics and citations
Metrics
Journals metrics
This article was published in Transportation Research Record: Journal of the Transportation Research Board.
VIEW ALL JOURNAL METRICSArticle usage*
Total views and downloads: 33
*Article usage tracking started in December 2016
Altmetric
See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores
Articles citing this one
Receive email alerts when this article is cited
Web of Science: 0
Crossref: 17
- Investigating the Travel Information-Seeking Behavior for Daily Trips ...
- Travel Behaviour Modification (TBM) Programmes
- Modeling the effects of real time traffic information on travel behavi...
- Determinants of elimination decisions in the activity scheduling proce...
- Comparison on travel scheduling between driving and walking trips by h...
- Scheduling decision styles on leisure and social activities
- Modeling air passengers’ rescheduling strategies for airport service l...
- A multilevel analysis of factors influencing local social interaction
- Modeling the Impact of Traffic Information Acquisition From Mobile Dev...
- Within day rescheduling microsimulation combined with macrosimulated t...
- The Impact of Traffic Information Acquisition on the Traffic Condition...
- Factors Influencing the Travel Scheduling of Driving Trips of Habitual...
- Simultaneous Analysis of Global Decisions in Activity Travel Schedulin...
- Integrated health impact assessment of travel behaviour: Model explora...
- Assessing planning decisions by activity type during the scheduling pr...
- Factors Influencing the Planning of Social Activities...
- Measuring and Estimating Suppressed Travel with Enhanced Activity–Trav...
Figures and tables
Figures & Media
Tables
View Options
Get access
Access options
If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:
loading institutional access options
Alternatively, view purchase options below:
Purchase 24 hour online access to view and download content.
Access journal content via a DeepDyve subscription or find out more about this option.
