IDEAS home Printed from
   My bibliography  Save this article

The impact of activity chaining on the duration of daily activities


  • Stephan Brunow


  • Manuela Gründer



There is a broad body of theoretical and empirical literature dealing with trip chaining behaviour. This paper adds to the literature while focusing on the impact of activity chaining on the duration of time spent on individual purposes. Two questions in particular are addressed: first, does an additional purpose added to a trip chain affect the duration of the activities included? Second, is there any pattern of included activities that explains differences in duration? Duration data models are employed using German data. We find evidence that the number of purposes influences duration significantly. Leisure, shopping and personal business activities are affected by the occurrence of obligatory activities (work, school/university). We cannot find any evidence that personal business or leisure activities influence the duration of shopping, whereas the opposite is supported. Therefore, in terms of daily activities, obligatory and shopping activities are superior to leisure and personal business. We conclude that activity chaining and especially the pattern of combined purposes affect the duration of activities allocated to single purposes while controlling for a wide range of other explanatory variables. The results can be used in transport and simulation models. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • 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.
  • Handle: RePEc:kap:transp:v:40:y:2013:i:5:p:981-1001
    DOI: 10.1007/s11116-012-9441-6

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

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

    References listed on IDEAS

    1. Adler, Thomas & Ben-Akiva, Moshe, 1979. "A theoretical and empirical model of trip chaining behavior," Transportation Research Part B: Methodological, Elsevier, vol. 13(3), pages 243-257, September.
    2. Lenz, Barbara & Nobis, Claudia, 2007. "The changing allocation of activities in space and time by the use of ICT--"Fragmentation" as a new concept and empirical results," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 190-204, February.
    3. Vande Walle, Stefaan & Steenberghen, Therese, 2006. "Space and time related determinants of public transport use in trip chains," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 151-162, February.
    4. Hirte, Georg & Brunow, Stephan, 2008. "The age pattern of human capital and regional productivity," Dresden Discussion Paper Series in Economics 01/08, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    5. Yee, Julie L. & Niemeier, Debbie A., 2000. "Analysis of activity duration using the Puget sound transportation panel," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(8), pages 607-624, November.
    6. Bhat, Chandra R., 1997. "Work travel mode choice and number of non-work commute stops," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 41-54, February.
    7. Kondo, Katsunao & Kitamura, Ryuichi, 1987. "Time-space constraints and the formation of trip chains," Regional Science and Urban Economics, Elsevier, vol. 17(1), pages 49-65, February.
    8. 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.
    9. David Levinson & Ajay Kumar, 1995. "Activity, Travel, and the Allocation of Time," Working Papers 199505, University of Minnesota: Nexus Research Group.
    10. DeSerpa, A C, 1971. "A Theory of the Economics of Time," Economic Journal, Royal Economic Society, vol. 81(324), pages 828-846, December.
    11. DeSerpa, Allan C., 1973. "Microeconomic theory and the valuation of travel time: Some clarification," Regional and Urban Economics, Elsevier, vol. 2(4), pages 401-410.
    12. Martin Dijst & Velibor Vidakovic, 2000. "Travel time ratio: the key factor of spatial reach," Transportation, Springer, vol. 27(2), pages 179-199, May.
    13. Bhat, Chandra R., 1996. "A generalized multiple durations proportional hazard model with an application to activity behavior during the evening work-to-home commute," Transportation Research Part B: Methodological, Elsevier, vol. 30(6), pages 465-480, December.
    14. Ye, Xin & Pendyala, Ram M. & Gottardi, Giovanni, 2007. "An exploration of the relationship between mode choice and complexity of trip chaining patterns," Transportation Research Part B: Methodological, Elsevier, vol. 41(1), pages 96-113, January.
    15. Uwe Kunert & Robert Follmer, 2004. "Methodological Advances in National Travel Surveys: Mobility in Germany 2002," Transport Reviews, Taylor & Francis Journals, vol. 25(4), pages 415-431, August.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. repec:kap:transp:v:45:y:2018:i:3:d:10.1007_s11116-016-9749-8 is not listed on IDEAS


    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:kap:transp:v:40:y:2013:i:5:p:981-1001. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.