IDEAS home Printed from https://ideas.repec.org/a/leu/journl/2009vol6issue2p269-285.html
   My bibliography  Save this article

Variations in the rational use of time – The travel pulse of commutes between home and job

Author

Listed:
  • William Michelson

    (Department of Sociology University of Toronto, Canada)

Abstract

Ian Cullen and his research colleagues long ago suggested that people form habits in daily life that suboptimize behavior in view of constraints. Such rational suboptimization is posited here to apply to trips between home and work and to vary by time of the day. Previous research suggests that afternoons prove more difficult for people than mornings, with rush hour traffic patterns shown as one aspect. This paper contrasts with episode level data from Statistics Canada’s 2005 time-use survey the temporal pattern (shown as a “travel pulse”) of weekday commutes between home and job by full-time workers with external workplaces. The mean trip duration in the morning is less than in the afternoon, as is its standard deviation. This is rooted in a visibly greater dispersion of rational starting times from home in the morning with arrival at work at various times in advance of the start to the formal work day, while, in the afternoon, people typically depart from work directly at externally-determined closing times and in concentrated peaks. The result is that nearly twice the number of commuters set out at the same time during the afternoons than in the mornings. The less than individually-rational intensity of the afternoon commuting context is compounded by the concentration of everyday shopping stops during the afternoon commute. Mode of travel accounts for significantly different mean trip times, but differences in trip duration by time of day transcend travel mode. Differences by gender interact with mode of travel but are not generally significant. The rich legacy established by Andrew Harvey is apparent, as he has been an influential shaper and advocate of the Statistics Canada’s time-use surveys, the use of such data for transportation analyses, and a focus on episode-level analysis.

Suggested Citation

  • William Michelson, 2009. "Variations in the rational use of time – The travel pulse of commutes between home and job," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 6(2), pages 269-285, September.
  • Handle: RePEc:leu:journl:2009:vol6:issue2:p269-285
    as

    Download full text from publisher

    File URL: http://www2.leuphana.de/ffb/eijtur/pdf/volumes/eijtur-6-2.pdf#page=108
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jonathan Gershuny & John Robinson, 1988. "Historical changes in the household division of labor," Demography, Springer;Population Association of America (PAA), vol. 25(4), pages 537-552, November.
    2. 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.
    3. Ignace Glorieux & Joeri Minnen, 2009. "How many days? A comparison of the quality of time-use data from 2-day and 7-day diaries," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 6(2), pages 314-327, September.
    4. Andrew Harvey, 1993. "Guidelines for time use data collection," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 30(2), pages 197-228, November.
    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. William Michelson & Ugo Lachapelle, 2016. "Patterns of Walking Among Employed, Urban Canadians: Variations by Commuting Mode, Time of Day, and Days of the Week," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 11(4), pages 1321-1340, December.
    2. Jean-Luc Tavernier & Philippe Cuneo & Claire Plateau, 2015. "Measurement of Quality of Life and Well-Being in France: The Drivers of Subjective Well-Being," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(1), pages 25-33, March.

    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. Jiri Zuzanek, 2009. "Time use research in Canada – History,critique, perspectives," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 6(2), pages 178-192, September.
    2. Duncan Ironmonger & Faye Soupourmas, 2009. "Estimating household production outputs with time use episode data," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 6(2), pages 240-268, September.
    3. Joachim Merz & Paul Böhm & Derik Burgert, 2009. "Timing and fragmentation of daily working hours arrangements and income inequality – An earnings treatment effects approach with German time use diary data," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 6(2), pages 200-239, September.
    4. John P. Robinson & Andrew Caporaso, 2009. "Senioritis in repose," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 6(2), pages 306-313, September.
    5. Jonathan Gershuny, 2009. "Harvey’s hypercodes and the “Propogram” – More than 24 hours per day?," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 6(2), pages 193-199, September.
    6. Iiris Niemi, 2009. "Sharing of tasks and lifestyle among aged couples," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 6(2), pages 286-305, September.
    7. Ignace Glorieux & Joeri Minnen, 2009. "How many days? A comparison of the quality of time-use data from 2-day and 7-day diaries," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 6(2), pages 314-327, September.
    8. Jara-Díaz, Sergio & Rosales-Salas, Jorge, 2015. "Understanding time use: Daily or weekly data?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 76(C), pages 38-57.
    9. Stella Chatzitheochari & Kimberly Fisher & Emily Gilbert & Lisa Calderwood & Tom Huskinson & Andrew Cleary & Jonathan Gershuny, 2018. "Using New Technologies for Time Diary Data Collection: Instrument Design and Data Quality Findings from a Mixed-Mode Pilot Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 379-390, May.
    10. Edmond Daramy-Williams & Jillian Anable & Susan Grant-Muller, 2019. "Car Use: Intentional, Habitual, or Both? Insights from Anscombe and the Mobility Biography Literature," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    11. Heinen, Eva & Chatterjee, Kiron, 2015. "The same mode again? An exploration of mode choice variability in Great Britain using the National Travel Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 266-282.
    12. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).
    13. Makoto Chikaraishi & Akimasa Fujiwara & Junyi Zhang & Kay Axhausen, 2011. "Identifying variations and co-variations in discrete choice models," Transportation, Springer, vol. 38(6), pages 993-1016, November.
    14. Benjamin Motte-Baumvol & Julie Fen-Chong & Olivier Bonin, 2023. "Immobility in a weekly mobility routine: studying the links between mobile and immobile days for employees and retirees," Transportation, Springer, vol. 50(5), pages 1723-1742, October.
    15. 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.
    16. He, Brian Yueshuai & Zhou, Jinkai & Ma, Ziyi & Wang, Ding & Sha, Di & Lee, Mina & Chow, Joseph Y.J. & Ozbay, Kaan, 2021. "A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City," Transport Policy, Elsevier, vol. 101(C), pages 145-161.
    17. Fabian Märki & David Charypar & Kay Axhausen, 2014. "Agent-based model for continuous activity planning with an open planning horizon," Transportation, Springer, vol. 41(4), pages 905-922, July.
    18. Jariyasunant, Jerald & Carrel, Andre & Ekambaram, Venkatesan & Gaker, DJ & Kote, Thejovardhana & Sengupta, Raja & Walker, Joan L., 2011. "The Quantified Traveler: Using personal travel data to promote sustainable transport behavior," University of California Transportation Center, Working Papers qt9jg0p1rj, University of California Transportation Center.
    19. Zhai, Wei & Bai, Xueyin & Peng, Zhong-ren & Gu, Chaolin, 2019. "From edit distance to augmented space-time-weighted edit distance: Detecting and clustering patterns of human activities in Puget Sound region," Journal of Transport Geography, Elsevier, vol. 78(C), pages 41-55.
    20. Andre De Palma & Fay Dunkerley & Stef Proost, 2010. "Trip Chaining: Who Wins Who Loses?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 19(1), pages 223-258, March.

    More about this item

    Keywords

    Rationality; suboptimization; commuting; time of day; travel mode; gender;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:leu:journl:2009:vol6:issue2:p269-285. 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: Joachim Merz (email available below). General contact details of provider: https://edirc.repec.org/data/fbluede.html .

    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.