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

Intra-household Bargaining for School Trip Accompaniment of Children: A Group Decision Approach with Altruism

Author

Listed:
  • Alireza Ermagun
  • David Levinson

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

This paper tests a group decision-making model with altruism to examine the school travel behavior of schoolchildren aged between 6 and 18 years in the Minneapolis-St. Paul metropolitan area. The school trip information of 1,737 two-parent families with a schoolchild is extracted from Travel Behavior Inventory data collected by the Metropolitan Council between the Fall 2010 and Spring 2012. The proposed model has four distinctive characteristics compared with traditional developed models in the field of school travel behavior including: (1) considering the schoolchild explicitly in the model, (2) allowing for bargaining or negotiation within households, (3) quantifying the intra-household interaction among family members, and (4) determining the decision weight function for household members. This framework also covers a household with three members, namely, a father, a mother, and a schoolchild, while unlike other studies is not limited to dual-worker families. To test the hypotheses, we developed two models with and without the group-decision approach. Further, the models are separately developed for different age groups, namely schoolchildren aged between 6-12 and 12-18 years. This study considered at a wide range of variables such as work status of parents, age and gender of students, mode of travel, and distance to school. The findings of this study demonstrate that the elasticities of two modeling approaches are different not only in the value, but in the sign in some cases. In more than 90 percent of the cases, further, the unitary household model overestimates the results. More precisely, the elasticities of unitary household model are as large as 2 times more than that of the group-decision model in 25 percent of cases. This is a direct consequence of model misspecification that misleads both long-term and short-term policies where the intra-household bargaining and interaction is overlooked in travel behavior models.

Suggested Citation

  • 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.
    • Handle: RePEc:nex:wpaper:groupdecision
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11299/181550
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jen-Jia Lin & Hsiao-Te Chang, 2010. "Built Environment Effects on Children’s School Travel in Taipai: Independence and Travel Mode," Urban Studies, Urban Studies Journal Limited, vol. 47(4), pages 867-889, April.
    2. 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.
    3. McDonald, Noreen C., 2008. "Household interactions and children’s school travel: the effect of parental work patterns on walking and biking to school," Journal of Transport Geography, Elsevier, vol. 16(5), pages 324-331.
    4. 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.
    5. Zwerts, Enid & Allaert, Georges & Janssens, Davy & Wets, Geert & Witlox, Frank, 2010. "How children view their travel behaviour: a case study from Flanders (Belgium)," Journal of Transport Geography, Elsevier, vol. 18(6), pages 702-710.
    6. Fyhri, Aslak & Hjorthol, Randi & Mackett, Roger L. & Fotel, Trine Nordgaard & Kyttä, Marketta, 2011. "Children's active travel and independent mobility in four countries: Development, social contributing trends and measures," Transport Policy, Elsevier, vol. 18(5), pages 703-710, September.
    7. Elias, Wafa & Katoshevski-Cavari, Rachel, 2014. "The role of socio-economic and environmental characteristics in school-commuting behavior: A comparative study of Jewish and Arab children in Israel," Transport Policy, Elsevier, vol. 32(C), pages 79-87.
    8. Chandra Bhat & Ram Pendyala, 2005. "Modeling intra-household interactions and group decision-making," Transportation, Springer, vol. 32(5), pages 443-448, September.
    9. Raktim Mitra & Guy EJ Faulkner & Ron N Buliung & Michelle R Stone, 2014. "Do parental perceptions of the neighbourhood environment influence children’s independent mobility? Evidence from Toronto, Canada," Urban Studies, Urban Studies Journal Limited, vol. 51(16), pages 3401-3419, December.
    10. Larsen, K. & Gilliland, J. & Hess, P. & Tucker, P. & Irwin, J. & He, M., 2009. "The influence of the physical environment and sociodemographic characteristics on children's mode of travel to and from school," American Journal of Public Health, American Public Health Association, vol. 99(3), pages 520-526.
    11. Chinh Ho & Corinne Mulley, 2015. "Intra-household interactions in transport research: a review," Transport Reviews, Taylor & Francis Journals, vol. 35(1), pages 33-55, January.
    12. Amith Yarlagadda & Sivaramakrishnan Srinivasan, 2008. "Modeling children’s school travel mode and parental escort decisions," Transportation, Springer, vol. 35(2), pages 201-218, March.
    13. Carver, Alison & Timperio, Anna & Crawford, David, 2013. "Parental chauffeurs: what drives their transport choice?," Journal of Transport Geography, Elsevier, vol. 26(C), pages 72-77.
    14. Deka, Devajyoti, 2013. "An explanation of the relationship between adults’ work trip mode and children’s school trip mode through the Heckman approach," Journal of Transport Geography, Elsevier, vol. 31(C), pages 54-63.
    15. Fortin, B. & Lacroix, G., 1993. "A Test of the Neoclassical and Collective Models of Household Labour Supply," Papers 9335, Laval - Recherche en Politique Economique.
    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. 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. Sheng, Lu & Wu, Xiao & He, Yan, 2023. "Impact of residential relocation on activity-travel behaviors between household couples: A case study of Kunming, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    3. Liu, Yang & Ji, Yanjie & Shi, Zhuangbin & He, Baohong & Liu, Qiyang, 2018. "Investigating the effect of the spatial relationship between home, workplace and school on parental chauffeurs’ daily travel mode choice," Transport Policy, Elsevier, vol. 69(C), pages 78-87.
    4. Weiss, Adam & Habib, Khandker Nurul, 2018. "A generalized parallel constrained choice model for intra-household escort decision of high school students," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 26-38.
    5. Scheiner, Joachim, 2016. "School trips in Germany: Gendered escorting practices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 76-92.
    6. Singh, Nishant & Vasudevan, Vinod, 2018. "Understanding school trip mode choice – The case of Kanpur (India)," Journal of Transport Geography, Elsevier, vol. 66(C), pages 283-290.
    7. Bilin Han & Jinhee Kim & Harry Timmermans, 2020. "Turn taking behavior in dual earner households with children: a focus on escorting routines," Transportation, Springer, vol. 47(1), pages 203-222, February.
    8. Curtis, Carey & Babb, Courtney & Olaru, Doina, 2015. "Built environment and children's travel to school," Transport Policy, Elsevier, vol. 42(C), pages 21-33.
    9. Hu, Yang & van Wee, Bert & Ettema, Dick, 2023. "Intra-household decisions and the impact of the built environment on activity-travel behavior: A review of the literature," Journal of Transport Geography, Elsevier, vol. 106(C).
    10. Chen, Peng & Jiao, Junfeng & Xu, Mengyuan & Gao, Xu & Bischak, Chris, 2018. "Promoting active student travel: A longitudinal study," Journal of Transport Geography, Elsevier, vol. 70(C), pages 265-274.
    11. Elias, Wafa & Katoshevski-Cavari, Rachel, 2014. "The role of socio-economic and environmental characteristics in school-commuting behavior: A comparative study of Jewish and Arab children in Israel," Transport Policy, Elsevier, vol. 32(C), pages 79-87.
    12. Huai, Yue & Lo, Hong K. & Ng, Ka Fai, 2021. "Monocentric versus polycentric urban structure: Case study in Hong Kong," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 99-118.
    13. Mitra, Raktim & Buliung, Ron N., 2015. "Exploring differences in school travel mode choice behaviour between children and youth," Transport Policy, Elsevier, vol. 42(C), pages 4-11.
    14. Xiaofeng Ji & Haotian Guan & Mengyuan Lu & Fang Chen & Wenwen Qin, 2022. "International Research Progress in School Travel and Behavior: A Literature Review and Bibliometric Analysis," Sustainability, MDPI, vol. 14(14), pages 1-25, July.
    15. Mitra, Raktim & Buliung, Ron N., 2012. "Built environment correlates of active school transportation: neighborhood and the modifiable areal unit problem," Journal of Transport Geography, Elsevier, vol. 20(1), pages 51-61.
    16. Ermagun, Alireza & Samimi, Amir, 2015. "Promoting active transportation modes in school trips," Transport Policy, Elsevier, vol. 37(C), pages 203-211.
    17. Sarangi, Punyabeet & Manoj, M., 2022. "Task-allocation among adult household members by activity purpose and accompanying person," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 246-266.
    18. Kamruzzaman, Md. & Hine, Julian, 2013. "Self-proxy agreement and weekly school travel behaviour in a sectarian divided society," Journal of Transport Geography, Elsevier, vol. 29(C), pages 74-85.
    19. Zhang, Rui & Yao, Enjian & Liu, Zhili, 2017. "School travel mode choice in Beijing, China," Journal of Transport Geography, Elsevier, vol. 62(C), pages 98-110.
    20. Boto-García, David & Mariel, Petr & Baños-Pino, José Francisco, 2023. "Intra-household bargaining for a joint vacation," Journal of choice modelling, Elsevier, vol. 47(C).

    More about this item

    Keywords

    school trips; bargaining; household choice;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock

    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:nex:wpaper:groupdecision. 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: David Levinson (email available below). General contact details of provider: https://edirc.repec.org/data/nexmnus.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.