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Representing household time allocation behavior by endogenously incorporating diverse intra-household interactions: A case study in the context of elderly couples

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  • Zhang, Junyi
  • Fujiwara, Akimasa

Abstract

Travel behavior models assuming individual decision-making processes have been a dominant theme in transportation studies. While the assumption that an individual can decide on all relevant aspects of some types of travel behavior may be reasonable, in many other aspects household members interact before making decisions about different activities that they perform and the time that is involved. On the other hand, different types of households may show different group decision-making mechanisms. In other words, there might exist diverse intra-household interactions during joint decision-making processes. To reflect this point, this paper aims to develop a new household time allocation model based on the iso-elastic class of social welfare function, which can include different types of household utility functions as special cases (e.g., Nash, utilitarianism, autocratic and max-min types). Throughout this empirical analysis, which uses an activity diary data collected in a depopulated region of Japan, the effectiveness of the proposed model is confirmed. Furthermore, the model's applicability in evaluating transportation policies for elderly people is examined based on a simulation analysis.

Suggested Citation

  • Zhang, Junyi & Fujiwara, Akimasa, 2006. "Representing household time allocation behavior by endogenously incorporating diverse intra-household interactions: A case study in the context of elderly couples," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 54-74, January.
  • Handle: RePEc:eee:transb:v:40:y:2006:i:1:p:54-74
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Ermagun, Alireza & Levinson, David, 2016. "Intra-household bargaining for school trip accompaniment of children: A group decision approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 222-234.
    2. David A. Hensher & Chinh Ho & Matthew J. Beck, 2017. "A simplified and practical alternative way to recognise the role of household characteristics in determining an individual’s preferences: the case of automobile choice," Transportation, Springer, vol. 44(1), pages 225-240, January.
    3. André de Palma & Nathalie Picard & Ignacio Inoa, 2014. "Discrete choice decision-making with multiple decision-makers within the household," Chapters,in: Handbook of Choice Modelling, chapter 16, pages 363-382 Edward Elgar Publishing.
    4. Metin Senbil & Ryuichi Kitamura & Jamilah Mohamad, 2009. "Residential location, vehicle ownership and travel in Asia: a comparative analysis of Kei-Han-Shin and Kuala Lumpur metropolitan areas," Transportation, Springer, vol. 36(3), pages 325-350, May.
    5. Goulias, Konstadinos G, 2007. "Companionship and Altruism in Daily Activity Time Allocation and Travel by Men and Women in the Same Households," University of California Transportation Center, Working Papers qt7d44668g, University of California Transportation Center.
    6. Timmermans, Harry J.P. & Zhang, Junyi, 2009. "Modeling household activity travel behavior: Examples of state of the art modeling approaches and research agenda," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 187-190, February.
    7. Chandra Bhat & Konstadinos Goulias & Ram Pendyala & Rajesh Paleti & Raghuprasad Sidharthan & Laura Schmitt & Hsi-Hwa Hu, 2013. "A household-level activity pattern generation model with an application for Southern California," Transportation, Springer, vol. 40(5), pages 1063-1086, September.
    8. Beck, Matthew J. & Hess, Stephane, 2016. "Willingness to accept longer commutes for better salaries: Understanding the differences within and between couples," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 1-16.
    9. Zhang, Junyi & Kuwano, Masashi & Lee, Backjin & Fujiwara, Akimasa, 2009. "Modeling household discrete choice behavior incorporating heterogeneous group decision-making mechanisms," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 230-250, February.
    10. Alireza Ermagun & David Levinson, 2015. "Intra-household Bargaining for School Trip Accompaniment of Children: A Group Decision Approach with Altruism," Working Papers 000131, University of Minnesota: Nexus Research Group.
    11. Wilton, Robert D. & Páez, Antonio & Scott, Darren M., 2011. "Why do you care what other people think? A qualitative investigation of social influence and telecommuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 269-282, May.
    12. Surabhi Gupta & Peter Vovsha, 2013. "A model for work activity schedules with synchronization for multiple-worker households," Transportation, Springer, vol. 40(4), pages 827-845, July.
    13. Marcucci, Edoardo & Rotaris, Lucia & Paglione, Guido, 2009. "A methodology to evaluate the prospects for the introduction of a Park&Buy service," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 42, pages 26-46.
    14. repec:eee:transb:v:104:y:2017:i:c:p:667-685 is not listed on IDEAS
    15. Kato, Hironori & Matsumoto, Manabu, 2009. "Intra-household interaction in a nuclear family: A utility-maximizing approach," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 191-203, February.

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