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The Impact of Simplification in a Sequential Rule-Based Model of Activity-Scheduling Behavior

Author

Listed:
  • Elke A L M G Moons
  • Geert P M Wets
  • Marc Aerts

    (Center for Statistics, Limburgs Universitair Centrum, 3590 Diepenbeek, Belgium)

  • Theo A Arentze
  • Harry J P Timmermans

Abstract

The aim of this paper is to gain a better understanding of the impact of simplification on a sequential model of activity-scheduling behavior which uses feature-selection methods. To that effect, the predictive performance of the Albatross model, which incorporates nine different facets of activity–travel behavior, based on the original full decision trees, is compared with the performance of the model based on trimmed decision trees. The results indicate that significantly smaller decision trees can be used for modeling the different choice facets of the sequential model system without losing much in predictive power. The performance of the models is compared at three levels: the choice-facet level, the activity-pattern level (comparing the observed and generated sequences of activities), and the trip-matrix level, comparing the correlation coefficients that determine the strength of the associations between the observed and the predicted origin–destination matrices. The results indicate that the model based on the trimmed decision trees predicts activity-diary schedules with a minimum loss of accuracy at the decision level. Moreover, the results indicate a slightly better performance at the activity-pattern and the trip-matrix level.

Suggested Citation

  • Elke A L M G Moons & Geert P M Wets & Marc Aerts & Theo A Arentze & Harry J P Timmermans, 2005. "The Impact of Simplification in a Sequential Rule-Based Model of Activity-Scheduling Behavior," Environment and Planning A, , vol. 37(3), pages 551-568, March.
    • Handle: RePEc:sae:envira:v:37:y:2005:i:3:p:551-568
    DOI: 10.1068/a36167
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    References listed on IDEAS

    as
    1. Theo Arentze & Harry Timmermans, 2003. "Measuring the goodness-of-fit of decision-tree models of discrete and continuous activity-travel choice: methods and empirical illustration," Journal of Geographical Systems, Springer, vol. 5(2), pages 185-206, August.
    2. John Gliebe & Frank Koppelman, 2002. "A model of joint activity participation between household members," Transportation, Springer, vol. 29(1), pages 49-72, February.
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    1. Arentze, Theo & Timmermans, Harry, 2007. "Parametric action decision trees: Incorporating continuous attribute variables into rule-based models of discrete choice," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 772-783, August.
    2. 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.
    3. Janssens, Davy & Wets, Geert & Brijs, Tom & Vanhoof, Koen & Arentze, Theo & Timmermans, Harry, 2006. "Integrating Bayesian networks and decision trees in a sequential rule-based transportation model," European Journal of Operational Research, Elsevier, vol. 175(1), pages 16-34, November.

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