Skip to main content
SpringerLink
Log in

Household Time Use Behavior Analysis: A Case Study of Multidimensional Timing Decisions

  • Chapter
  • First Online:
Life-Oriented Behavioral Research for Urban Policy

  • 743 Accesses

Abstract

This chapter investigates household time use behavior by especially focusing on timing decisions on interdependent daily activities. Timing decisions on various life choices have been unsatisfactorily presented in literature. At best, such timing decisions have been presented based on survival analysis, which has various attractive statistical features, however, ignores decision-making mechanisms. This chapter argues that the utility of activity participation and trip-making behavior changes over time, and timing decisions within a given period of time interact across activities/trips and across household members. This study derives the optimal timing functions for both nonshared and shared activities/trips by different household members, where interdependencies among activities/trips over time and household’s coupling constraints are endogenously represented. The applicability of the developed model is empirically examined. Behavioral implications of analysis results are finally discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The 41 activities are: paid work; paid work at home; paid work, doing a second job; attending school; attending classes; traveling to/from work; cooking; washing up; doing housework; doing odd jobs; gardening; shopping; childcare; domestic travel; dressing/toilet; receiving personal services; eating meals and snacks; sleeping; traveling for leisure; going on excursions; actively participating in sports; passively participating in sports; walking; doing religious activities; doing civic duties; attending cinema or theatre; going to dances or parties; visiting social clubs, pubs, or restaurants; visiting friends; listening to the radio; watching the television or video; listening to records, tapes, or CDs; studying; reading books; reading papers or magazines; relaxing; conversing; entertaining friends; knitting; sewing; or other hobbies, pastimes, or activities.

  2. 2.

    http://timeuse-2009.nsms.ox.ac.uk/information/studies/ (accessed January 25, 2016).

  3. 3.

    http://www.eijtur.org/ (accessed January 25, 2016).

References

  • Ashiru O, Polak JW, Noland RB (2003) The utility of schedules: a model of departure time and activity time allocation. In: Paper presented at the 10th international conference on travel behaviour research, Lucerne, 10–15 Aug

    Google Scholar 

  • Arentze T, Timmermans HJP (2000) Albatross: a learning based transportation oriented simulation system. European Institute of Retailing and Services Studies, Eindhoven

    Google Scholar 

  • Arentze T, Timmermans HJP (2005) Albatross version 2: a learning-based transportation oriented simulation system. European Institute of Retailing and Services Studies, Eindhoven

    Google Scholar 

  • Becker GS (1965) A theory of the allocation of time. Econ J 75:493–517

    Article  Google Scholar 

  • Borgers A, Timmermans HJP (1993) Transport facilities and residential choice behaviour: a model of multi-person choice processes. Papers Reg Sci 72(1):45–61

    Article  Google Scholar 

  • Davis HL (1976) Decision making within the household. J Consum Res 2:241–260

    Article  Google Scholar 

  • Doherty ST (2004) Rules for assessing activity scheduling survey respondents data quality. In: Compendium of papers CD-ROM, the 83rd annual meeting of the transportation research board, Washington D.C., 11–15 Jan

    Google Scholar 

  • Doherty ST, Papinski D (2004) Is it possible to automatically trace activity scheduling? In: Paper presented at the EIRASS conference on progress in activity-based analysis, Maastricht, The Netherlands, 28–31 May

    Google Scholar 

  • Ettema D, Timmermans HJP (2003) Modelling departure time choice in the context of activity scheduling behavior. In: Compendium of papers CD-ROM, the 83rd annual meeting of the transportation research board, Washington D.C., 12–16 Jan

    Google Scholar 

  • Fujiwara A, Zhang J (2005) Development of car tourists’ scheduling model for 1-day tour. Transp Res Rec 1921:100–111

    Article  Google Scholar 

  • Fujiwara A, Kanda Y, Sugie Y, Okamura T (2001) The effectiveness of non-IIA models on time choice behavior analysis. J East Asia Soc Transp Stud 4(2):305–318

    Google Scholar 

  • Garling T, Kalen T, Romanus J, Selart M, Vilhelmson B (1998) Computer simulation of household activity scheduling. Environ Plan A 30:665–679

    Article  Google Scholar 

  • Gauthier AH, Gershuny J, Fisher K (2006) Multinational time use study: user’s guide and documentation. Version 2. The United Nations Economic Commission for Europe (UNECE). Available at http://www.unece.org/fileadmin/DAM/stats/gender/timeuse/Downloads/MTUS_Users’Guide.pdf. Accessed 29 May 2016

  • Gerike R, Gehlert T, Leisch F (2015) Time use in travel surveys and time use surveys—Two sides of the same coin? Transp Res Part A 76:4–24

    Google Scholar 

  • Hensher DA, Stopher PR (1979) Behavioral travel demand modelling. Croom Helm, London

    Google Scholar 

  • Joh CH, Arentze T, Timmermans HJP (2002) Modeling individuals’ activity-travel rescheduling heuristics: theory and numerical experiments. Transp Res Rec 1807:16–25

    Article  Google Scholar 

  • Joh CH, Arentze T, Timmermans HJP (2003) A theory and simulation model of activity-travel rescheduling behavior. In: Selected proceedings of the 9th world conference on transportation research (CD–ROM)

    Google Scholar 

  • Joh C-H, Arentze T, Timmermans HJP (2006) Characterisation and comparison of gender-specific utility functions of shopping duration episodes. J Retail Consum Serv 13:249–259

    Article  Google Scholar 

  • Jones P (1990) Development in dynamic and activity-based approaches to travel analysis. Gower, Aldcrshot

    Google Scholar 

  • Kimberly F (2015) Metadata of time use studies. Last updated 31 December 2014. Centre for Time Use Research, University of Oxford, United Kingdom. http://www.timeuse.org/information/studies/

  • Kitamura R, Fujii S (1998) Two computational process models of activity-travel choice. In: Garling T, Laitila T, Westin K (eds) Theoretical foundations of travel choice modeling. Elsevier, Oxford, pp 251–279

    Google Scholar 

  • Koppelman FS, Wen CH (2000) The paired combinatorial logit model: properties, estimation and application. Transp Res Part B 34:75–89

    Article  Google Scholar 

  • Lee B, Timmermans HJP (2007) A latent class accelerated hazard model of activity episode durations. Transp Res Part B 41(4):426–447

    Article  Google Scholar 

  • Michelson WH (2006) Time use: expanding explanation in the social sciences. Routledge, New York

    Google Scholar 

  • Molin EJE, Oppewal H, Timmermans HJP (1997) Modeling group preferences using a decompositional preference approach. Group Decis Negot 6:339–350

    Article  Google Scholar 

  • Pentland WE, Harvey AS, Lawton MP, McColl MA (2013) Time use research in the social sciences. Kluwer Academic Publishers, New York

    Google Scholar 

  • Popkowski Leszczyc PTL, Timmermans HJP (2002) Unconditional and conditional competing risk models of activity duration and activity sequencing decisions: an empirical comparison. J Geogr Syst 4:157–170

    Article  Google Scholar 

  • Timmermans HJP, Borgers A, van Dijk J, Oppewal H (1992) Residential choice behaviour of dual-earner households: a decompositional joint choice model. Environ Plan A 24:517–533

    Article  Google Scholar 

  • Vovsha P, Gliebe J, Petersen E, Koppelman F (2004) Sequential and simultaneous choice structures for modeling intra-household interactions in regional travel models. In: Timmermans HJP (ed) Progress in activity-based analysis. Elsevier, Amsterdam, pp 223–257

    Google Scholar 

  • Zhang J, d Fujiwara A (2006) Representing household time allocation behavior by endogenously incorporating diverse intra-household interactions: a case study in the context of elderly couples. Transp Res Part B 40(1):54–74

    Article  Google Scholar 

  • Zhang J, Timmermans HJP, Borgers A (2002) A utility-maximizing model of household time use for independent, shared and allocated activities incorporating group decision mechanisms. Transp Res Rec 1807:1–8

    Article  Google Scholar 

  • Zhang J, Sugie Y, Fujiwara A, Suto K (2004) A dynamic bi-ordered-probit model system to evaluate the effects of introducing flexible working hour system. In: Selected proceedings of the 10th world conference on transport research, Istanbul, Turkey, 4–8 July (CD-ROM)

    Google Scholar 

  • Zhang J, Fujiwara A, Ishikawa N (2005a) Developing a new activity-trip scheduling model based on utility of timing incorporating timing constraints, censored timing and sequential correlation. In: Paper presented at the 84th annual meeting of the transportation research board, Washington D.C., 9–13 Jan

    Google Scholar 

  • Zhang J, Timmermans HJP, Borgers A (2005b) A model of household task allocation and time use. Transp Res Part B 39:81–95

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Hiroshima University, Higashi-Hiroshima, Japan

    Junyi Zhang

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Harry Timmermans

Authors
  1. Junyi Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Harry Timmermans
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Junyi Zhang .

Editor information

Editors and Affiliations

  1. Hiroshima University , Higashi-Hiroshima, Japan

    Junyi Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Japan KK

About this chapter

Cite this chapter

Zhang, J., Timmermans, H. (2017). Household Time Use Behavior Analysis: A Case Study of Multidimensional Timing Decisions. In: Zhang, J. (eds) Life-Oriented Behavioral Research for Urban Policy. Springer, Tokyo. https://doi.org/10.1007/978-4-431-56472-0_15

Download citation

  • DOI: https://doi.org/10.1007/978-4-431-56472-0_15

  • Published:

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-56470-6

  • Online ISBN: 978-4-431-56472-0

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics

Search

Navigation