IDEAS home Printed from https://ideas.repec.org/p/gbl/wpaper/201103.html
   My bibliography  Save this paper

Test of the relation between travel and activities times : different representations of a demand derived from activity participation

Author

Listed:
  • Joly, I.

Abstract

The paper tests linear and non-linear specifications of the relationship between travel times and activity times, in 4 four French and three Swiss cities, observed at two different periods. First, following Kitamura et al. (1992), we test proportional assignment of total daily available time to activities (including transport). Second, proportionality is tested between (1) daily travel time associated with a given purpose with respect of the daily activity duration and (2) the travel time associated with the duration of the activity at destination. This last specification tests the travel time ratio proposed by Dijst and Vidakovic (2000). Third, because of the non appropriateness of the OLS method for analysing non-normally distributed duration data, we estimate travel time budgets in the duration model framework. We obtain non-linear relation between travel time and activity times. Only daily leisure time and daily travel time are fixed proportion of total daily available time. At disaggregated level, the trip duration do not show proportionality with activity duration. Leisure and shopping activities exhibit increasing and convex relation with travel time.

Suggested Citation

  • Joly, I., 2011. "Test of the relation between travel and activities times : different representations of a demand derived from activity participation," Working Papers 201103, Grenoble Applied Economics Laboratory (GAEL).
    • Handle: RePEc:gbl:wpaper:201103
    as

    Download full text from publisher

    File URL: https://gael.univ-grenoble-alpes.fr/sites/default/files/Mediatheque/doc-recherche/WP/A2011/gael2011-04.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hani Mahmassani & Ryuichi Kitamura, 2000. "Travel behavior research," Transportation, Springer, vol. 27(1), pages 1-4, February.
    2. Chandra Bhat & Rajul Misra, 1999. "Discretionary activity time allocation of individuals between in-home and out-of-home and between weekdays and weekends," Transportation, Springer, vol. 26(2), pages 193-229, May.
    3. repec:cdl:uctcwp:qt4dj8f1gg is not listed on IDEAS
    4. Sergio Jara-Díaz, 2003. "On the goods-activities technical relations in the time allocation theory," Transportation, Springer, vol. 30(3), pages 245-260, August.
    5. Mokhtarian, Patricia L. & Chen, Cynthia, 2004. "TTB or not TTB, that is the question: a review and analysis of the empirical literature on travel time (and money) budgets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(9-10), pages 643-675.
    6. Schafer, Andreas & Victor, David G., 2000. "The future mobility of the world population," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(3), pages 171-205, April.
    7. Golob, Thomas F. & McNally, Michael G., 1997. "A model of activity participation and travel interactions between household heads," Transportation Research Part B: Methodological, Elsevier, vol. 31(3), pages 177-194, June.
    8. David Levinson, 1999. "Space, money, life-stage, and the allocation of time," Transportation, Springer, vol. 26(2), pages 141-171, May.
    9. Kim, Chansung, 2008. "Commuting time stability: A test of a co-location hypothesis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(3), pages 524-544, March.
    10. Iragaël Joly & Karl Littlejohn & Vincent Kaufmann, 2006. "La croissance des budgets-temps de transport en question : nouvelles approches," Post-Print halshs-00174992, HAL.
    11. Iragaël Joly, 2006. "Stability or regularity of the daily travel time in Lyon? Application of a duration model," Post-Print halshs-00004011, HAL.
    12. Lu, Xuedong & Pas, Eric I., 1999. "Socio-demographics, activity participation and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(1), pages 1-18, January.
    13. David Levinson & Yao Wu, 2005. "The rational locator reexamined: Are travel times still stable?," Transportation, Springer, vol. 32(2), pages 187-202, March.
    14. repec:cdl:uctcwp:qt3r77x5h0 is not listed on IDEAS
    15. Timmermans, Harry & van der Waerden, Peter & Alves, Mario & Polak, John & Ellis, Scott & Harvey, Andrew S. & Kurose, Shigeyuki & Zandee, Rianne, 2002. "Time allocation in urban and transport settings: an international, inter-urban perspective," Transport Policy, Elsevier, vol. 9(2), pages 79-93, April.
    16. Martin Dijst & Velibor Vidakovic, 2000. "Travel time ratio: the key factor of spatial reach," Transportation, Springer, vol. 27(2), pages 179-199, May.
    17. Cynthia Chen & Patricia Mokhtarian, 2006. "Tradeoffs between Time Allocations to Maintenance Activities/Travel and Discretionary Activities/Travel," Transportation, Springer, vol. 33(3), pages 223-240, May.
    18. Iragaël Joly, 2016. "Les budgets-temps de transport," Post-Print hal-02015984, HAL.
    19. Yao Wu & David Levinson, 2005. "The Rational Locator Reexamined," Working Papers 200503, University of Minnesota: Nexus Research Group.
    20. Schwanen, Tim & Dijst, Martin, 2002. "Travel-time ratios for visits to the workplace: the relationship between commuting time and work duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 573-592, August.
    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. Iragaël Joly, 2006. "The role of travel time budgets – Representation of a demand derived from activity participation," Post-Print halshs-00181431, HAL.
    2. Iragaël Joly & Stéphanie Vincent-Geslin, 2016. "Intensive travel time: an obligation or a choice?," Post-Print halshs-01309467, HAL.
    3. repec:cdl:itsdav:qt5wk60167 is not listed on IDEAS
    4. repec:cdl:itsdav:qt2wr907nc is not listed on IDEAS
    5. Longden, Thomas, 2016. "The Regularity and Irregularity of Travel: an Analysis of the Consistency of Travel Times Associated with Subsistence, Maintenance and Discretionary Activities," ET: Economic Theory 243150, Fondazione Eni Enrico Mattei (FEEM).
    6. Longden, Thomas, "undated". "The Regularity and Irregularity of Travel: an Analysis of the Consistency of Travel Times Associated with Subsistence, Maintenance and Discretionary Activities," ETA: Economic Theory and Applications 243150, Fondazione Eni Enrico Mattei (FEEM).
    7. Wang, Donggen & Chai, Yanwei & Li, Fei, 2011. "Built environment diversities and activity–travel behaviour variations in Beijing, China," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1173-1186.
    8. Jahun Koo & Jiyoon Kim & Sungtaek Choi & Sangho Choo, 2022. "Identifying the Causal Relationship between Travel and Activity Times: A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    9. Schwanen, Tim & Dijst, Martin, 2002. "Travel-time ratios for visits to the workplace: the relationship between commuting time and work duration," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(7), pages 573-592, August.
    10. Tim Schwanen & Martin Dijst & Frans M Dieleman, 2002. "A Microlevel Analysis of Residential Context and Travel Time," Environment and Planning A, , vol. 34(8), pages 1487-1507, August.
    11. 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.
    12. Mokhtarian, Patricia L. & Chen, Cynthia, 2004. "TTB or not TTB, that is the question: a review and analysis of the empirical literature on travel time (and money) budgets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(9-10), pages 643-675.
    13. Pinjari, Abdul Rawoof & Bhat, Chandra R. & Hensher, David A., 2009. "Residential self-selection effects in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 729-748, August.
    14. Ma, Kang-Rae & Kang, Eun-Taek, 2011. "Time–space convergence and urban decentralisation," Journal of Transport Geography, Elsevier, vol. 19(4), pages 606-614.
    15. Iragaël Joly & Karl Littlejohn & Vincent Kaufmann, 2006. "La croissance des budgets-temps de transport en question : nouvelles approches," Post-Print halshs-00174992, HAL.
    16. Raux, Charles & Ma, Tai-Yu & Joly, Iragaël & Kaufmann, Vincent & Cornelis, Eric & Ovtracht, Nicolas, 2011. "Travel and activity time allocation: An empirical comparison between eight cities in Europe," Transport Policy, Elsevier, vol. 18(2), pages 401-412, March.
    17. Amlan Banerjee & Xin Ye & Ram Pendyala, 2007. "Understanding Travel Time Expenditures Around the World: Exploring the Notion of a Travel Time Frontier," Transportation, Springer, vol. 34(1), pages 51-65, January.
    18. Mohíno, Inmaculada & Ureña, José M. & Solís, Eloy, 2016. "Transport infrastructure and territorial cohesion in rural metro-adjacent regions: A multimodal accessibility approach. The case of Castilla-La Mancha in the context of Madrid (Spain)," Journal of Transport Geography, Elsevier, vol. 57(C), pages 115-133.
    19. 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.
    20. Chunil Kim & Choongik Choi, 2019. "Towards Sustainable Urban Spatial Structure: Does Decentralization Reduce Commuting Times?," Sustainability, MDPI, vol. 11(4), pages 1-28, February.
    21. 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.
    22. 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.

    More about this item

    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
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:gbl:wpaper:201103. 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: Adrien Hervouet (email available below). General contact details of provider: https://edirc.repec.org/data/inragfr.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.