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Modeling learning and adaptation processes in activity-travel choice A framework and numerical experiment

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  • Theo Arentze
  • Harry Timmermans

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  • Theo Arentze & Harry Timmermans, 2003. "Modeling learning and adaptation processes in activity-travel choice A framework and numerical experiment," Transportation, Springer, vol. 30(1), pages 37-62, February.
    • Handle: RePEc:kap:transp:v:30:y:2003:i:1:p:37-62
    DOI: 10.1023/A:1021290725727
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    References listed on IDEAS

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    1. Iida, Yasunori & Akiyama, Takamasa & Uchida, Takashi, 1992. "Experimental analysis of dynamic route choice behavior," Transportation Research Part B: Methodological, Elsevier, vol. 26(1), pages 17-32, February.
    2. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
    3. Mahmassani, Hani S. & Chang, Gang-Len, 1986. "Experiments with departure time choice dynamics of urban commuters," Transportation Research Part B: Methodological, Elsevier, vol. 20(4), pages 297-320, August.
    4. Horowitz, Joel L., 1984. "The stability of stochastic equilibrium in a two-link transportation network," Transportation Research Part B: Methodological, Elsevier, vol. 18(1), pages 13-28, February.
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    Citations

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    Cited by:

    1. Ettema, Dick & Schwanen, Tim, 2012. "A relational approach to analysing leisure travel," Journal of Transport Geography, Elsevier, vol. 24(C), pages 173-181.
    2. Ettema, Dick & Tamminga, Guus & Timmermans, Harry & Arentze, Theo, 2005. "A micro-simulation model system of departure time using a perception updating model under travel time uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 325-344, May.
    3. Oded Cats & Zafeira Gkioulou, 2017. "Modeling the impacts of public transport reliability and travel information on passengers’ waiting-time uncertainty," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(3), pages 247-270, September.
    4. Hamed Alibabai & Hani S. Mahmassani, 2016. "Foxes and sheep: effect of predictive logic in day-to-day dynamics of route choice behavior," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 53-67, March.
    5. Schwanen, Tim, 2020. "Towards decolonial human subjects in research on transport," Journal of Transport Geography, Elsevier, vol. 88(C).
    6. Caspar G. Chorus & Benedict G. C. Dellaert, 2012. "Travel Choice Inertia: The Joint Role of Risk Aversion and Learning," Journal of Transport Economics and Policy, University of Bath, vol. 46(1), pages 139-155, January.
    7. Koster, Paul & Peer, Stefanie & Dekker, Thijs, 2015. "Memory, expectation formation and scheduling choices," Economics of Transportation, Elsevier, vol. 4(4), pages 256-265.
    8. Chorus, Caspar G. & Timmermans, Harry J.P., 2009. "Measuring user benefits of changes in the transport system when traveler awareness is limited," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 536-547, June.
    9. Rachel Weinberger & Frank Goetzke, 2010. "Unpacking Preference: How Previous Experience Affects Auto Ownership in the United States," Urban Studies, Urban Studies Journal Limited, vol. 47(10), pages 2111-2128, September.
    10. T. Arentze & H. Timmermans, 2005. "Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics," Transportation, Springer, vol. 32(4), pages 321-340, July.
    11. Konstadinos G. Goulias & Ram M. Pendyala, 2014. "Choice context," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 5, pages 101-130, Edward Elgar Publishing.
    12. Ahmad Termida, Nursitihazlin & Susilo, Yusak O. & Franklin, Joel P., 2016. "Observing dynamic behavioural responses due to the extension of a tram line by using panel survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 78-95.
    13. Antonello Ignazio Croce & Giuseppe Musolino & Corrado Rindone & Antonino Vitetta, 2021. "Estimation of Travel Demand Models with Limited Information: Floating Car Data for Parameters’ Calibration," Sustainability, MDPI, vol. 13(16), pages 1-23, August.
    14. Navid Khademi & Mojtaba Rajabi & Afshin S. Mohaymany & Mahdi Samadzad, 2016. "Day-to-day travel time perception modeling using an adaptive-network-based fuzzy inference system (ANFIS)," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 25-52, March.
    15. Han, Qi & Arentze, Theo & Timmermans, Harry & Janssens, Davy & Wets, Geert, 2011. "The effects of social networks on choice set dynamics: Results of numerical simulations using an agent-based approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 310-322, May.

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