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Development of an estimation procedure for an activity-based travel demand model

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  • Recker, Will W
  • Duan, J.
  • Wang, H.

Abstract

In this paper, we implement an estimation procedure for a particular mathematical programming activity-based model in order to estimate the relative importance of factors associated with spatial and temporal interrelationships among the out-of-home activities that motivate a household’s need or desire to travel. The method uses a genetic algorithm to estimate coefficient values of the utility function, based on a particular multidimensional sequence alignment method to deal with the nominal, discrete, attributes of the activity/travel pattern (e.g., which household member performs which activity, which vehicle is used, sequencing of activities), and a time sequence alignment method to handle temporal attributes of the activity pattern (e.g., starting and ending time of each activity and/or travel). The estimation procedure is tested on data drawn from a well-know activity/travel survey.

Suggested Citation

  • Recker, Will W & Duan, J. & Wang, H., 2008. "Development of an estimation procedure for an activity-based travel demand model," University of California Transportation Center, Working Papers qt0rz778v6, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt0rz778v6
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    References listed on IDEAS

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    1. Recker, W. W. & Chen, C. & McNally, M. G., 2001. "Measuring the impact of efficient household travel decisions on potential travel time savings and accessibility gains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 339-369, May.
    2. Recker, W. W., 1995. "The household activity pattern problem: General formulation and solution," Transportation Research Part B: Methodological, Elsevier, vol. 29(1), pages 61-77, February.
    3. Recker, W. W., 2001. "A bridge between travel demand modeling and activity-based travel analysis," Transportation Research Part B: Methodological, Elsevier, vol. 35(5), pages 481-506, June.
    4. Joh, Chang-Hyeon & Arentze, Theo & Hofman, Frank & Timmermans, Harry, 2002. "Activity pattern similarity: a multidimensional sequence alignment method," Transportation Research Part B: Methodological, Elsevier, vol. 36(5), pages 385-403, June.
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    Cited by:

    1. Yashar Khayati & Jee Eun Kang & Mark Karwan & Chase Murray, 2021. "Household Activity Pattern Problem with Autonomous Vehicles," Networks and Spatial Economics, Springer, vol. 21(3), pages 609-637, September.
    2. Gan, Li Ping & Recker, Will, 2008. "A mathematical programming formulation of the household activity rescheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 42(6), pages 571-606, July.
    3. Oskar Blom Västberg & Anders Karlström & Daniel Jonsson & Marcus Sundberg, 2020. "A Dynamic Discrete Choice Activity-Based Travel Demand Model," Transportation Science, INFORMS, vol. 54(1), pages 21-41, January.
    4. Kang, Jee Eun & Chow, Joseph Y.J. & Recker, Will W., 2013. "On activity-based network design problems," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 398-418.
    5. Blom Västberg, Oskar & Karlström, Anders & Jonsson, Daniel & Sundberg, Marcus, 2016. "Including time in a travel demand model using dynamic discrete choice," MPRA Paper 75336, University Library of Munich, Germany, revised 11 Nov 2016.
    6. Zhang, Tong & Li, Dawei & Song, Yuchen & Zhang, Junyi & Yang, Junyan & Shi, Yi, 2025. "Activity capacity-based urban shrinkage trend prediction model and response strategy comparison approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    7. Chow, Joseph Y.J. & Recker, Will W., 2012. "Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem," Transportation Research Part B: Methodological, Elsevier, vol. 46(3), pages 463-479.
    8. Patrick Manser & Tom Haering & Tim Hillel & Janody Pougala & Rico Krueger & Michel Bierlaire, 2024. "Estimating flexibility preferences to resolve temporal scheduling conflicts in activity-based modelling," Transportation, Springer, vol. 51(2), pages 501-528, April.
    9. Xu, Zhiheng & Kang, Jee Eun & Chen, Roger, 2018. "A random utility based estimation framework for the household activity pattern problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 321-337.
    10. Abdul Rawoof Pinjari & Chandra R. Bhat, 2011. "Activity-based Travel Demand Analysis," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 10, Edward Elgar Publishing.
    11. Jee Eun Kang & Will Recker, 2015. "Strategic Hydrogen Refueling Station Locations with Scheduling and Routing Considerations of Individual Vehicles," Transportation Science, INFORMS, vol. 49(4), pages 767-783, November.

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