IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v47y2020i4d10.1007_s11116-019-09980-y.html
   My bibliography  Save this article

Studying the relationship between activity participation, social networks, expenditures and travel behavior on leisure activities

Author

Listed:
  • Maximiliano Lizana

    (Universidad de La Frontera)

  • Juan-Antonio Carrasco

    (Universidad de Concepción)

  • Alejandro Tudela

    (Universidad de Concepción)

Abstract

In the context of an increasing interest in understanding travel for non-mandatory activities, such as recreation and socializing, this work focuses on studying the relationships between activity participation, social networks, and expenditures in daily travel patterns associated with leisure activities in order to understand people’s strategies for performing activities in daily life. Using a 7-day time use diary from a resident sample of Concepción, Chile, along with information about people’s socio-demography, social network and expenditure behavior, structural equations models were estimated to study the role of social networks on people’s space–time and monetary patterns. The results suggest a positive relationship between people’s interaction with their social networks, their expenditure levels, and their space–time activity patterns. The analysis adds empirical evidence towards a better understanding of people’s decision-making processes by using a time use and a social networks approach. The model results reveal that out-of-home leisure time has a strong impact on the interactions with alters and monetary expenditures. In this context, “with whom” and how much time someone spends doing a specific activity act as key intermediary dimensions to explain leisure activity participation and travel behavior.

Suggested Citation

  • Maximiliano Lizana & Juan-Antonio Carrasco & Alejandro Tudela, 2020. "Studying the relationship between activity participation, social networks, expenditures and travel behavior on leisure activities," Transportation, Springer, vol. 47(4), pages 1765-1786, August.
  • Handle: RePEc:kap:transp:v:47:y:2020:i:4:d:10.1007_s11116-019-09980-y
    DOI: 10.1007/s11116-019-09980-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11116-019-09980-y
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11116-019-09980-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Golob, Thomas F. & McNally, Michael G., 1997. "A Model of Activity Participation Between Household Heads," University of California Transportation Center, Working Papers qt4dj8f1gg, University of California Transportation Center.
    2. Sophia Rabe‐Hesketh & Anders Skrondal, 2006. "Multilevel modelling of complex survey data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 805-827, October.
    3. M. Manoj & Ashish Verma, 2017. "A structural equation model based analysis of non-workers’ activity-travel behaviour from a city of a developing country," Transportation, Springer, vol. 44(2), pages 241-269, March.
    4. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    5. Kauermann G. & Carroll R.J., 2001. "A Note on the Efficiency of Sandwich Covariance Matrix Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1387-1396, December.
    6. 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.
    7. Arun Kuppam & Ram Pendyala, 2001. "A structural equations analysis of commuters' activity and travel patterns," Transportation, Springer, vol. 28(1), pages 33-54, February.
    8. José Moore & Juan-Antonio Carrasco & Alejandro Tudela, 2013. "Exploring the links between personal networks, time use, and the spatial distribution of social contacts," Transportation, Springer, vol. 40(4), pages 773-788, July.
    9. Juan Carrasco & Eric Miller, 2006. "Exploring the propensity to perform social activities: a social network approach," Transportation, Springer, vol. 33(5), pages 463-480, September.
    10. Lee, Yuhwa & Hickman, Mark & Washington, Simon, 2007. "Household type and structure, time-use pattern, and trip-chaining behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1004-1020, December.
    11. 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.
    12. Lucas, Karen & Bates, John & Moore, José & Carrasco, Juan Antonio, 2016. "Modelling the relationship between travel behaviours and social disadvantage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 157-173.
    13. Kees Maat & Harry J.P. Timmermans, 2009. "A causal model relating urban form with daily travel distance through activity/travel decisions," Transportation Planning and Technology, Taylor & Francis Journals, vol. 32(2), pages 115-134, March.
    14. Jara-Díaz, Sergio R. & Munizaga, Marcela A. & Greeven, Paulina & Guerra, Reinaldo & Axhausen, Kay, 2008. "Estimating the value of leisure from a time allocation model," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 946-957, December.
    15. Dharmowijoyo, Dimas B.E. & Susilo, Yusak O. & Karlström, Anders, 2016. "Relationships among discretionary activity duration, its travel time spent and activity space indices in the Jakarta Metropolitan Area, Indonesia," Journal of Transport Geography, Elsevier, vol. 54(C), pages 148-160.
    16. Dimas B. E. Dharmowijoyo & Yusak O. Susilo & Anders Karlström, 2018. "On complexity and variability of individuals’ discretionary activities," Transportation, Springer, vol. 45(1), pages 177-204, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Zhang, Yongping & Manley, Ed & Martens, Karel & Batty, Michael, 2024. "A metro smart card data-based analysis of group travel behaviour in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 114(C).
    2. Marta Borowska-Stefańska & Michał Kowalski & Paulina Kurzyk & Alireza Sahebgharani & Szymon Wiśniewski, 2022. "Spatiotemporal Changeability of the Load of the Urban Road Transport System under Permanent and Short-Term Legal and Administrative Retail Restrictions," Sustainability, MDPI, vol. 14(9), pages 1-30, April.

    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. Punyabeet Sarangi & M. Manoj, 2022. "Analysis of activity participation and time use decisions of partners: the context of low-and high-income households," Transportation, Springer, vol. 49(3), pages 1017-1058, June.
    2. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
    3. Lin, Tao & Wang, Donggen & Zhou, Meng, 2018. "Residential relocation and changes in travel behavior: what is the role of social context change?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 360-374.
    4. Xuemei Fu & Zhicai Juan, 2016. "Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences," Transportation, Springer, vol. 43(1), pages 37-51, January.
    5. Iragaël Joly & Karl Littlejohn & Vincent Kaufmann, 2006. "La croissance des budgets-temps de transport en question : nouvelles approches," Post-Print halshs-00174992, HAL.
    6. Hejun Kang & Darren Scott, 2011. "Impact of different criteria for identifying intra-household interactions: a case study of household time allocation," Transportation, Springer, vol. 38(1), pages 81-99, January.
    7. Rafiq, Rezwana & McNally, Michael G., 2022. "A structural analysis of the work tour behavior of transit commuters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 61-79.
    8. Xuemei Fu & Zhicai Juan, 2016. "Empirical analysis and comparisons about time-allocation patterns across segments based on mode-specific preferences," Transportation, Springer, vol. 43(1), pages 37-51, January.
    9. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    10. Chen, Cynthia & Mokhtarian, Patricia L, 2005. "An Exploratory Study Using an AIDS Model For Tradeoffs Between Time Allocations to Maintenance Activities/Travel and Discretionary Activities/Travel," Institute of Transportation Studies, Working Paper Series qt2wr907nc, Institute of Transportation Studies, UC Davis.
    11. Lin, Tao & Wang, Donggen, 2014. "Social networks and joint/solo activity–travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 18-31.
    12. 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.
    13. Lee, Yuhwa & Hickman, Mark & Washington, Simon, 2007. "Household type and structure, time-use pattern, and trip-chaining behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 1004-1020, December.
    14. Rezwana Rafiq & Michael G. McNally, 2021. "A study of tour formation: pre-, during, and post-recession analysis," Transportation, Springer, vol. 48(5), pages 2187-2233, October.
    15. Sakano, Ryoichi & Benjamin, Julian, 2011. "A structural model of mode-activity choice: The case of commuter rail in a medium-size metropolitan area," Transport Policy, Elsevier, vol. 18(2), pages 434-445, March.
    16. Wang, Rui, 2015. "The stops made by commuters: evidence from the 2009 US National Household Travel Survey," Journal of Transport Geography, Elsevier, vol. 47(C), pages 109-118.
    17. Kang, Hejun & Scott, Darren M., 2010. "Exploring day-to-day variability in time use for household members," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 609-619, October.
    18. Pellegrini, Andrea & Pinjari, Abdul Rawoof & Maggi, Rico, 2021. "A multiple discrete continuous model of time use that accommodates non-additively separable utility functions along with time and monetary budget constraints," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 37-53.
    19. Ren, Fang & Kwan, Mei-Po, 2009. "The impact of the Internet on human activity–travel patterns: analysis of gender differences using multi-group structural equation models," Journal of Transport Geography, Elsevier, vol. 17(6), pages 440-450.
    20. Yao, Mingzhu & Wang, Donggen, 2018. "Mobility and travel behavior in urban China: The role of institutional factors," Transport Policy, Elsevier, vol. 69(C), pages 122-131.

    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:kap:transp:v:47:y:2020:i:4:d:10.1007_s11116-019-09980-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.