Weekly rhythm in joint time expenditure for all at-home and out-of-home activities application of Kuhn-Tucker demand system model using multiweek travel diary data

Transportation Research Record

Volumn , Issue 2054, 2008, Pages 64-73

  Nurul Habib, Khandker M ^a   Miller, Eric J ^b   Axhausen, Kay W ^c  

^a UNIVERSITY OF ALBERTA   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY-TRAVEL BEHAVIOR; COMPLEX ACTIVITY; KUHN-TUCKER; MOBIDRIVE DATA SET; MODELLING TECHNIQUES; MODELLING TIME; RANDOM UTILITY MAXIMIZATIONS; SYSTEM MODELS; TIME FRAME; UTILITY MAXIMIZATION MODEL;

EID: 56749092247     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2054-08     Document Type: Article

References (27)

1. Axhausen, K. W., A. Zimmermann, S, Schönfelder, G. Rindsfüser, and T. Haupt. Observing the Rhythms of Daily Life. Transportation, Vol. 29, 2002, pp. 95-124.
2. Schönfelder, S. Urban Rhythms: Modelling the Rhythms of Individual Travel Behavior. PhD thesis. Institute of Transport Planning and Systems, Swiss Federal Institute of Technology, Zurich, Switzerland, 2006.
3. Schlich, R., and K. W. Axhausen. Habitual Travel Behavior. Transportation, Vol. 30, 2003, pp. 13-36.
4. Miller, E. J. Propositions for Modelling Household Decision-Making. In Integrated Land Use and Transportation Models: Behavioural Foundations (M. Lee-Gosselin and S. Doherty, eds.). Elsevier, New York, 2005.
5. Schönfelder, S., and K. W. Axhausen. Analyzing the Rhythms of Travel Using Survival Analysis. In Jahrbuch 2000/2001 Schweizerische Verkehrwirtschaft (C. Kaspar, C. Laesser, and T. Bieger, eds.), SVWG, St. Gallen, Switzerland, pp. 137-162.
6. Bhat. C. R.. T. Frusti, H. Zhao. S. Schönfelder, and K. W. Axhausen. Intershopping Duration: An Analysis Using Multiweek Data. Transportation Research Part B, Vol. 38, 2004, pp. 39-60.
7. Habib. K. M. N., E. J. Miller, and K. W. Axhausen. How Reasonable Is The Typical Week Time Frame Approach in Activity-Based Travel Demand Modeling? Case Study Shopping Activity/Trip Using a Multi-Week Trip Diary Survey Data. In Arheitsherichte Verkehrs- und Rautnplanung, Vol. 443, IVT, ETH Zurich, Switzerland.
8. Habib, K. M. N., and E. J. Miller. Modelling Activity Generation: A Utility-Based Model for Activity-Agenda Formation. Presented at 11th International Conference on Travel Behaviour Research, Kyoto, Japan, August 2006.
9. Becker, G. A Theory of the Allocation of Time. The Economic Journal, Vol. 75, No. 299, 1965, pp. 493-517.
10. DeSerpa, A. C. A Theory of Economics of Time. The Economic Journal, Vol. 81, No. 324, 1971, pp. 282-846.
11. Evan, A. W. On the Theory of the Valuation and Allocation of Time. Scottish Journal of Political Economy, Vol. 19, No. 1, 1972, pp. 1-17.
12. Jara-Diaz, S, R. Time and Income in Travel Demand: Towards a Microeconomic Activity Framework. In Theoretical Foundation of Travel Choice Modelling (T. Gärling, T. Laitila, and K. Westin, eds.), Pergamon Press, Oxford, United Kingdom, 1998.
13. Miller, E.J. Project-Based Activity Scheduling for Household and Person Agents. In Flow, Dynamics and Human Interactions: Proc., 16th International Symposium on Transportation and Traffic Theory (H. Mahmassani, ed.), Elsevier, New York, 2005.
14. Habib, K. M. N., and E. J. Miller. Modeling Daily Activity Program Generation Considering Within-Day and Day-to-Day Dynamics in Activity Travel Behavior. Presented at 86th Annual Meeting of the Transportation Research Board, Washington, D.C., 2007.
15. Habib, K. M. N., and E. J. Miller. Modeling Skeletal Components of Workers' Daily Activity Schedules. In Transportation Research Record: Journal of the Transportation Research Board, No. 1985, Transportation Research Board of the National Academies, Washington D.C., 2006, pp. 88-97.
16. Winston, G. C. Activity Choice: A New Approach to Economic Behavior. Journal of Economic Behavior and Organization, Vol. 8, 1987, pp. 567-588.
17. Kuhn, H. M., and A. W. Tucker. Nonlinear Programming. In Proc., Second Berkeley Symposium on Mathematical Statistics and Probability (J. Neyman, ed.). University of California Press, Berkeley, 1951.
18. Wales, T. J., and A. D. Woodland. Estimation of Consumer System of Binding Nonnegativity Constraints. Journal of Econometrics, Vol. 21. 1982, pp. 263-285.
19. von Haefen, R. H., and D. J. Phaneuf. Kuhn-Tucker Demand System Approach to Non-Market Valuation. In Application of Simulation Methods In Environmental and Resource Economics (R. Scarpa and A. Alberini, eds.), Kluwer Academic Publishers, Norwell, Mass., 2004.
20. Bhat, C. R. A Multiple Discrete-Continuous Extreme Value Model: Formulation and Application to Discretionary Time-Use Decisions. Transportation Research Part B, Vol. 39, 2005, pp. 679-707.
21. Bhat, C. R. The Multiple Discrete Continuous Extreme Value (MDCEV) Model: Role of Utility Function Parameters, Identification Considerations, and Model Extensions. Transportation Research Part B, Vol. 42, No. 3, 2008.
22. Hicks, J. R. Value and Capital. Oxford University Press, Oxford, England, 1968.
23. GAUSS 7.0. Aptech Systems Inc., Black Diamond, Wash., 2007.
24. Ag, P. T. V., B. Fell, S. Schönfelder, and K. W. Axhausen. MobiDrive Questionnaires. Arbeitsberichte Verkehrs und Raumplanung, Vol. 52, Institut für Verkehrsplanung, Transporttechnik, Strassen und Eisen-bahnbau, ETH Zürich, Zürich, Switzerland, 2000.
25. Chalasani, V. S., S. Schönfelder, and K. W. Axhausen. Archiving Travel Data: The MobiDrive Example. Arbeitsbericht Verkehrs und Raumplanung, Vol. 129, Institut für Verkehrsplanung und Transportsysteme. ETH Zürich. Zurich, Switzerland, 2002.
26. Ettema, D. Latent Activities: Modeling the Relationships Between Travel Time and Activity Participation. In Transportation Research Record: Journal of the Transportation Research Board, No. 1926, Transportation Research Board of the National Academies, Washington D.C., 2005, pp. 171-181.
27. Jara-Díaz, S., M. Munizaga, P. Greeven, and R. Guerra. The Unified Expanded Goods-Activity-Travel Model: Theory and Results. Presented at 11th World Conference on Transportation Research, Berkeley, Calif., 2007.