IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v37y2005i1p105-125.html
   My bibliography  Save this article

A Utility-Based Analysis of Activity Time Allocation Decisions Underlying Segmented Daily Activity–Travel Patterns

Author

Listed:
  • Chang-Hyeon Joh
  • Theo A Arentze
  • Harry J P Timmermans

Abstract

This paper reports the results of an application of the Aurora model to estimate the utility functions underlying activity–duration decisions in daily activity–travel patterns. Multidimensional sequence alignment is used to derive segments for activity–travel diary data, collected in the Amsterdam–Utrecht corridor in the Netherlands. The profiles of the resulting segments are derived from a descriptive analysis of sociodemographic variables. A tailored genetic algorithm is then used to estimate the parameter of an asymmetrical utility function for each of the resulting segments. The results suggest that the utility of activity duration varies between activities and between segments, and hence sociodemographics.

Suggested Citation

  • Chang-Hyeon Joh & Theo A Arentze & Harry J P Timmermans, 2005. "A Utility-Based Analysis of Activity Time Allocation Decisions Underlying Segmented Daily Activity–Travel Patterns," Environment and Planning A, , vol. 37(1), pages 105-125, January.
  • Handle: RePEc:sae:envira:v:37:y:2005:i:1:p:105-125
    DOI: 10.1068/a36214
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1068/a36214
    Download Restriction: no

    File URL: https://libkey.io/10.1068/a36214?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Byron J. T. Morgan, 1989. "Introduction to Optimization," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 152(2), pages 254-255, March.
    2. Munshi, Kaivan, 1993. "Urban passenger travel demand estimation: A household activity approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(6), pages 423-432, November.
    3. Toshiyuki Yamamoto & Ryuichi Kitamura, 1999. "An analysis of time allocation to in-home and out-of-home discretionary activities across working days and non- working days," Transportation, Springer, vol. 26(2), pages 231-250, May.
    4. Kitamura, Ryuichi, 1984. "A model of daily time allocation to discretionary out-of-home activities and trips," Transportation Research Part B: Methodological, Elsevier, vol. 18(3), pages 255-266, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Stephan Brunow & Manuela Gründer, 2013. "The impact of activity chaining on the duration of daily activities," Transportation, Springer, vol. 40(5), pages 981-1001, September.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jara-Díaz, Sergio & Rosales-Salas, Jorge, 2017. "Beyond transport time: A review of time use modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 209-230.
    2. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    3. Drago Bokal & Mitja Steinbacher, 2019. "Phases of psychologically optimal learning experience: task-based time allocation model," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(3), pages 863-885, September.
    4. Golob, Thomas F., 2000. "A simultaneous model of household activity participation and trip chain generation," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 355-376, June.
    5. Marcela Munizaga & Sergio Jara-Díaz & Paulina Greeven & Chandra Bhat, 2008. "Econometric Calibration of the Joint Time Assignment--Mode Choice Model," Transportation Science, INFORMS, vol. 42(2), pages 208-219, May.
    6. Lin, Tao & Wang, Donggen, 2015. "Tradeoffs between in- and out-of-residential neighborhood locations for discretionary activities and time use: do social contexts matter?," Journal of Transport Geography, Elsevier, vol. 47(C), pages 119-127.
    7. Golob, Thomas F., 1999. "A Simultaneous Model of Household Activity Participation and Trip Chain Generation," University of California Transportation Center, Working Papers qt0w16g0x2, University of California Transportation Center.
    8. Marcela Munizaga & Sergio Jara-Díaz & Javiera Olguín & Jorge Rivera, 2011. "Generating twins to build weekly time use data from multiple single day OD surveys," Transportation, Springer, vol. 38(3), pages 511-524, May.
    9. Bhat, Chandra R. & Srinivasan, Sivaramakrishnan & Sen, Sudeshna, 2006. "A joint model for the perfect and imperfect substitute goods case: Application to activity time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 40(10), pages 827-850, December.
    10. Golob, Thomas F., 1999. "A Simultaneous Model of Household Activity Participation and Trip Chain Generation," University of California Transportation Center, Working Papers qt6xc704kp, University of California Transportation Center.
    11. Sugiarto, Sugiarto & Miwa, Tomio & Morikawa, Takayuki, 2017. "Inclusion of latent constructs in utilitarian resource allocation model for analyzing revenue spending options in congestion charging policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 36-53.
    12. Golob, Thomas F. & Regan, A C, 2000. "Impacts of Information Technology on Personal Travel and Commercial Vehicle Operations: Research Challenges and Opportunities," University of California Transportation Center, Working Papers qt0zh556db, University of California Transportation Center.
    13. Ettema, Dick & Bastin, Fabian & Polak, John & Ashiru, Olu, 2007. "Modelling the joint choice of activity timing and duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(9), pages 827-841, November.
    14. Golob, Thomas F. & Regan, Amelia C., 2001. "Impacts of Information Technology on Personal Tavel and Commercial Vehicle Operations: Research Challenges and Opportunities," University of California Transportation Center, Working Papers qt95r7j7vk, University of California Transportation Center.
    15. I. Meloni & L. Guala & A. Loddo, 2004. "Time allocation to discretionary in-home, out-of-home activities and to trips," Transportation, Springer, vol. 31(1), pages 69-96, February.
    16. Moyin Li & Nebiyou Tilahun, 2020. "A comparative analysis of discretionary time allocation for social and non-social activities in the U.S. between 2003 and 2013," Transportation, Springer, vol. 47(2), pages 893-909, April.
    17. Pellegrini, Andrea & Pinjari, Abdul Rawoof & Maggi, Rico, 2021. "A multiple discrete continuous model of time use that accommodates non-additively separable utility functions along with time and monetary budget constraints," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 37-53.
    18. Golob, Thomas F., 2002. "travelbehavior.com - Activity Approaches to Modeling the Effects of Information Technology on Personal Travel Behavior," University of California Transportation Center, Working Papers qt9t40s1mc, University of California Transportation Center.
    19. Lovejoy, Kristin, 2012. "Mobility Fulfillment Among Low-car Households: Implications for Reducing Auto Dependence in the United States," Institute of Transportation Studies, Working Paper Series qt4v44b5qn, Institute of Transportation Studies, UC Davis.
    20. Hirte, Georg & Tscharaktschiew, Stefan, 2018. "The impact of anti-congestion policies and the role of labor-supply margins," CEPIE Working Papers 04/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:envira:v:37:y:2005:i:1:p:105-125. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.