The development and performance of Patricia, a suite of (choice) models that can be used to analyze and predict activity-travel patterns, is reported. This suite of models, which differs from similar sequential utility-maximizing models of activity-travel patterns in that it incorporates a larger number of choice facets and choice options, was sequentially estimated with activity-travel data collected in the region of South Rotterdam, the Netherlands. The results of the estimation are satisfactory at the level of aggregated origin-destination matrices and individual activity patterns.
References
1.
ArentzeT. A., and TimmermansH. J. P.. Albatross: A Learning Based Transportation Oriented Simulation System. European Institute of Retailing and Services Studies, Eindhoven, Netherlands, 2000.
2.
BhatC. R.Comprehensive and Operational Analysis Framework for Generating Daily Activity-Travel Pattern of Workers. Presented at 78th Annual Meeting of the Transportation Research Board, Washington, D.C., 1999.
3.
WenC.-H., and KoppelmanF. S.. Integrated Model System of Stop Generation and Tour Formation for Analysis of Activity and Travel Patterns. In Transportation Research Record: Journal of the Transportation Research Board, No. 1676, TRB, National Research Council, Washington, D.C., 1999, pp. 136–144.
4.
WangD., and TimmermansH.. Conjoint-Based Model of Activity Engagement, Timing, Scheduling and Stop Pattern Formation. In Transportation Research Record: Journal of the Transportation Research Board, No. 1718, TRB, National Research Council, Washington, D.C., 2000, pp. 10–17.
5.
WangD., BorgersA. W. J., OppewalH., and TimmermansH. J. P.. A Stated Choice Approach to Developing Multi-Faceted Models of Activity Behaviour. Transportation Research, Vol. 34, 2000, pp. 625–643.
6.
FosgerauM.PETRA: An Activity Based Approach to Travel Demand Analysis. Presented at 8th WCTR Conference, Antwerp, Belgium, 1998.
7.
BowmanJ. L., BradleyM., ShiftanY., LawtonT. K., and Ben-AkivaM. E.. Demonstration of an Activity-Based Model System for Portland. Presented at 8th WCTR Conference, Antwerp, Belgium, 1998.
8.
BowmanJ. L., and Ben-AkivaM. E.. Day Activity Schedule Approach to Travel Demand Analysis. Presented at 78th Annual Meeting of the Transportation Research Board, Washington, D.C., 1999.
9.
BhatC. R., and MisraR.. Comprehensive Activity-Travel Pattern Modeling System for Nonworkers with Empirical Focus on Organization of Activity Episodes. Presented at 80th Annual Meeting of the Transportation Research Board, Washington, D.C., 2001.
10.
FujiiS., KitamuraR., and MonmaT.. Microsimulation Model System of Individuals’ Activity-Travel Patterns Based on Random Utility Theory. Presented at 77th Annual Meeting of the Transportation Research Board, Washington, D.C., 1998.
11.
PendyalaR. M., KitamuraR., and ReddyD.. Application of an Activity-Based Travel Demand Model Incorporating a Rule-Based Algorithm. Environment and Planning B, Vol. 25, 1998, pp. 753–772.
12.
EttemaD. F., DalyA., de JongG., and KroesE.. Towards an Applied Activity-Based Travel Demand Model. Presented at IATBR Conference, Austin, Tex., 1997.
13.
TimmermansH. J. P.Theories and Models of Activity Patterns. In Albatross: A Learning Based Transportation Oriented Simulation System (ArentzeT. A. and TimmermansH. J. P., eds.), European Institute of Retailing and Services Studies, Eindhoven, Netherlands, 2000, pp. 6–70.
14.
ArentzeT. A., BorgersA. W. J., PonjéM. M. W., SnellenD. M. E. G. W., and TimmermansH. J. P.. The Activity Diary. In Albatross: A Learning Based Transportation Oriented Simulation System (ArentzeT. A. and TimmermansH. J. P., eds.), European Institute of Retailing and Services Studies, Eindhoven, Netherlands, 2000, pp. 152–168.
15.
GreeneW. H.LIMDEP User’s Manual. Econometric Software, Inc., New York, 2000.
16.
JohC.-H, ArentzeT. A., and TimmermansH. J. P.. Activity-Travel Pattern Similarity: A Multidimensional Alignment Method. Transportation Research B, Vol. 36, 2001, pp. 385–403.
17.
ArentzeT., BorgersA., JohC., TimmermansH., and P. van der Waerden. Relative Predictive Ability. In Albatross: A Learning Based Transportation Oriented Simulation System (ArentzeT. A. and TimmermansH. J. P., eds.), European Institute of Retailing and Services Studies, Eindhoven, Netherlands, 2000, pp. 365–399.
18.
ArentzeT., BorgersA., HofmanF., FujiiS., JohC., KikuchiA., KitamuraR., TimmermansH., and van der WaerdenP.. Rule-Based Versus Utility-Maximizing Models of Activity-Travel Patterns: A Comparison of Empirical Performance. In Travel Behaviour Research: The Leading Edge (HensherD., ed.), Pergamon, New York, 2001, pp. 569–583.
19.
BorgersA. W. J., HofmanF., PonjéM. M. W., and TimmermansH. J. P.. Towards a Conjoint-Based, Context-Dependent Model of Task Allocation in Activity Settings: Some Numerical Experiments. Journal of Geographical Systems, 2001, in press.