IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v4y1997i4p225-235.html
   My bibliography  Save this article

Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies

Author

Listed:
  • Kitamura, Ryuichi
  • Fujii, Satoshi
  • Pas, Eric I.

Abstract

This paper argues that transportation planning methodologies must be built on the central thesis of the activity-based approach to travel demand modeling, namely, that travel is a derived demand that reflects people's desire and need to participate in activities. The paper discusses why this foundation for transportation planning methodologies is necessary to address contemporary planning and policy analysis issues. The paper also argues that the introduction of time-use data, analysis and modeling is a key element in the development of the next generation of transportation planning methodologies. Following a brief review of time-use studies, the paper discusses a number of planning and policy analysis areas in which time-use data will be of particular value, including the evaluation of induced or suppressed travel demand. The concepts advanced in the paper are illustrated with two brief numerical examples. These examples show how model systems based on time-use data can be used to (i) estimate the number of induced trips that would result from a reduction in commute travel time, and (ii) evaluate the impacts of alternative transportation improvement projects.

Suggested Citation

  • Kitamura, Ryuichi & Fujii, Satoshi & Pas, Eric I., 1997. "Time-use data, analysis and modeling: toward the next generation of transportation planning methodologies," Transport Policy, Elsevier, vol. 4(4), pages 225-235, October.
    • Handle: RePEc:eee:trapol:v:4:y:1997:i:4:p:225-235
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967-070X(97)00018-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Golob, Thomas F., 1996. "A Model of Household Demand for Activity Participation and Mobility," University of California Transportation Center, Working Papers qt00g9770f, University of California Transportation Center.
    2. Bhat, Chandra R., 1996. "A hazard-based duration model of shopping activity with nonparametric baseline specification and nonparametric control for unobserved heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 30(3), pages 189-207, June.
    3. Juster, F. Thomas, 1990. "Rethinking utility theory," Journal of Behavioral Economics, Elsevier, vol. 19(2), pages 155-179.
    Full references (including those not matched with items on IDEAS)

    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. Chandra Bhat & Frank Koppelman, 1999. "A retrospective and prospective survey of time-use research," Transportation, Springer, vol. 26(2), pages 119-139, May.
    2. Kharoufeh, Jeffrey P. & Goulias, Konstadinos G., 2002. "Nonparametric identification of daily activity durations using kernel density estimators," Transportation Research Part B: Methodological, Elsevier, vol. 36(1), pages 59-82, January.
    3. Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
    4. Zhang, Wen & Susilo, Yusak O. & Ahmad Termida, Nursitihazlin, 2016. "Investigating the interactions between travellers' familiar areas and their multi-day activity locations," Journal of Transport Geography, Elsevier, vol. 53(C), pages 61-73.
    5. 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.
    6. Ozonder, Gozde & Miller, Eric J., 2021. "Longitudinal investigation of skeletal activity episode timing decisions – A copula approach," Journal of choice modelling, Elsevier, vol. 40(C).
    7. Bowman, J. L. & Ben-Akiva, M. E., 2001. "Activity-based disaggregate travel demand model system with activity schedules," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 1-28, January.
    8. Sylvie Démurger & Hui Xu, 2011. "Left-Behind Children and Return Decisions of Rural Migrants in China," Post-Print halshs-00625636, HAL.
    9. Zidan Mao & Dick Ettema & Martin Dijst, 2018. "Analysis of travel time and mode choice shift for non-work stops in commuting: case study of Beijing, China," Transportation, Springer, vol. 45(3), pages 751-766, May.
    10. Ghader, Sepehr & Carrion, Carlos & Zhang, Lei, 2019. "Autoregressive continuous logit: Formulation and application to time-of-day choice modeling," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 240-257.
    11. Sylvie Démurger & Hui Xu, 2015. "Left-behind children and return migration in China," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-21, December.
    12. Pawlak, Jacek & Polak, John W. & Sivakumar, Aruna, 2017. "A framework for joint modelling of activity choice, duration, and productivity while travelling," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 153-172.
    13. Chandra Bhat, 2001. "Modeling the Commute Activity-Travel Pattern of Workers: Formulation and Empirical Analysis," Transportation Science, INFORMS, vol. 35(1), pages 61-79, February.
    14. Bhat, Chandra R. & Mondal, Aupal & Asmussen, Katherine E. & Bhat, Aarti C., 2020. "A multiple discrete extreme value choice model with grouped consumption data and unobserved budgets," Transportation Research Part B: Methodological, Elsevier, vol. 141(C), pages 196-222.
    15. Yang, Dujuan & Timmermans, Harry, 2013. "Analysis of influence of fuel price on individual activity-travel time expenditure," Transport Policy, Elsevier, vol. 30(C), pages 40-55.
    16. Jara-Díaz, Sergio R. & Munizaga, Marcela A. & Greeven, Paulina & Guerra, Reinaldo & Axhausen, Kay, 2008. "Estimating the value of leisure from a time allocation model," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 946-957, December.
    17. Joshua Wang & Eric J Miller, 2014. "A Prism-Based and Gap-Based Approach to Shopping Location Choice," Environment and Planning B, , vol. 41(6), pages 977-1005, December.
    18. Bhat, Chandra R. & Steed, Jennifer L., 2002. "A continuous-time model of departure time choice for urban shopping trips," Transportation Research Part B: Methodological, Elsevier, vol. 36(3), pages 207-224, March.
    19. Lídia Montero & Lucía Mejía-Dorantes & Jaume Barceló, 2023. "Applying Data Analytics to Analyze Activity Sequences for an Assessment of Fragmentation in Daily Travel Patterns: A Case Study of the Metropolitan Region of Barcelona," Sustainability, MDPI, vol. 15(19), pages 1-22, September.
    20. Héctor López-Ospina & Francisco Martínez & Cristián Cortés, 2015. "A time-hierarchical microeconomic model of activities," Transportation, Springer, vol. 42(2), pages 211-236, March.

    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:eee:trapol:v:4:y:1997:i:4:p:225-235. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    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.