IDEAS home Printed from https://ideas.repec.org/a/kap/transp/v40y2013i4p773-788.html
   My bibliography  Save this article

Exploring the links between personal networks, time use, and the spatial distribution of social contacts

Author

Listed:
  • José Moore
  • Juan-Antonio Carrasco
  • Alejandro Tudela

Abstract

Although the study of the role of the social context in travel behavior and activity patterns has recently gained attention, the empirical evidence supporting the relationship between social networks and the temporal and spatial characteristics of social activities is still limited. With this motivation, this paper studies the link between “longer term” (social networks) and “shorter term” (social activities) social decisions, by exploring the intertwined relationship between the individuals’ personal networks attributes, and the spatiotemporal characteristics of their daily social activities. The paper contributes to the literature by adding two key aspects to the study of the role of social networks on travel behavior: the social networks’ structure, and the spatiality of all individuals participating on the social activities. Based on data which link people’s personal networks and time use, and using a structural equation modeling approach, the paper studies the influence of individual and interactional attributes on the duration, distance, and number of people involved in social daily activities. The results show that aspects such as tie social closeness, gender and age similarity, and network density, help to understand social activity duration and distance, complementing traditional socio-demographic aspects such as income, occupation, and accessibility to services. In this way, socio-demographic attributes are not enough to explain the spatiotemporal dimension of daily activities which makes necessary to include variables related to the social context to explain with a higher level of accuracy both the duration and distance traveled to the activity. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • 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.
    • Handle: RePEc:kap:transp:v:40:y:2013:i:4:p:773-788
    DOI: 10.1007/s11116-013-9467-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11116-013-9467-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11116-013-9467-4?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., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    2. Stopher,Peter, 2012. "Collecting, Managing, and Assessing Data Using Sample Surveys," Cambridge Books, Cambridge University Press, number 9780521863117, October.
    3. Ronald, Nicole & Arentze, Theo & Timmermans, Harry, 2012. "Modeling social interactions between individuals for joint activity scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 46(2), pages 276-290.
    4. Stopher,Peter, 2012. "Collecting, Managing, and Assessing Data Using Sample Surveys," Cambridge Books, Cambridge University Press, number 9780521681872, October.
    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. Moyin Li & Nebiyou Tilahun, 2020. "A comparative analysis of discretionary time allocation for social and non-social activities in the U.S. between 2003 and 2013," Transportation, Springer, vol. 47(2), pages 893-909, April.
    2. Kontou, Eleftheria & Murray-Tuite, Pamela & Wernstedt, Kris, 2017. "Duration of commute travel changes in the aftermath of Hurricane Sandy using accelerated failure time modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 170-181.
    3. Di Ciommo, Floridea & Comendador, Julio & López-Lambas, María Eugenia & Cherchi, Elisabetta & Ortúzar, Juan de Dios, 2014. "Exploring the role of social capital influence variables on travel behaviour," Transportation Research Part A: Policy and Practice, Elsevier, vol. 68(C), pages 46-55.
    4. Hagiladi, Na'amah & O. Plaut, Pnina, 2021. "Social networks' group tie strength and travel behavior," Journal of Transport Geography, Elsevier, vol. 93(C).
    5. Miguel Picornell & Tomás Ruiz & Maxime Lenormand & José Ramasco & Thibaut Dubernet & Enrique Frías-Martínez, 2015. "Exploring the potential of phone call data to characterize the relationship between social network and travel behavior," Transportation, Springer, vol. 42(4), pages 647-668, July.
    6. 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.
    7. 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.
    8. Thibaut Dubernet & Kay Axhausen, 2015. "Implementing a household joint activity-travel multi- agent simulation tool: first results," Transportation, Springer, vol. 42(5), pages 753-769, September.
    9. Parady, Giancarlos & Frei, Andreas & Kowald, Matthias & Guidon, Sergio & Wicki, Michael & van den Berg, Pauline & Carrasco, Juan-Antonio & Arentze, Theo & Timmermans, Harry & Wellman, Barry & Takami, , 2021. "A comparative study of social interaction frequencies among social network members in five countries," Journal of Transport Geography, Elsevier, vol. 90(C).
    10. Bing Xia & Kelei Wu & Peikun Guo & Yuan Sun & Jindong Wu & Jie Xu & Shifu Wang, 2022. "Multidisciplinary Innovation Adaptability of Campus Spatial Organization: From a Network Perspective," SAGE Open, , vol. 12(1), pages 21582440221, March.
    11. Calastri, Chiara & Hess, Stephane & Daly, Andrew & Carrasco, Juan Antonio, 2017. "Does the social context help with understanding and predicting the choice of activity type and duration? An application of the Multiple Discrete-Continuous Nested Extreme Value model to activity diary," Transportation Research Part A: Policy and Practice, Elsevier, vol. 104(C), pages 1-20.
    12. Coutts, Steven & Aird, Bria & Mitra, Raktim & Siemiatycki, Matti, 2018. "Does commute influence post-secondary Students' social capital? A study of campus participation at four universities in Toronto, Canada," Journal of Transport Geography, Elsevier, vol. 70(C), pages 172-181.
    13. Lin, Tao & Wang, Donggen, 2015. "Tradeoffs between in- and out-of-residential neighborhood locations for discretionary activities and time use: do social contexts matter?," Journal of Transport Geography, Elsevier, vol. 47(C), pages 119-127.

    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. Aluisio Goulart Silva & Maurizio Canavari & Alcido Elenor Wander, 2018. "Consumer preferences and willingness-to-pay for integrated production label on common beans," Economia agro-alimentare, FrancoAngeli Editore, vol. 20(1), pages 11-28.
    2. Nina Verzosa & Stephen Greaves & Chinh Ho & Mark Davis, 2021. "Stated willingness to participate in travel surveys: a cross-country and cross-methods comparison," Transportation, Springer, vol. 48(3), pages 1311-1327, June.
    3. Nora KOTTMANN & Laura DALES, 2023. "Doing Intimacy in Pandemic Times: Findings of a Large-Scale Survey Among Singles in Japan," Social Science Japan Journal, University of Tokyo and Oxford University Press, vol. 26(1), pages 3-26.
    4. 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.
    5. Maruyama, Takuya & Fukahori, Tatsuya, 2020. "Households with every member out-of-home (HEMO): Comparison using the 1984, 1997, and 2012 household travel surveys in Kumamoto, Japan," Journal of Transport Geography, Elsevier, vol. 82(C).
    6. Lourdes Diaz Olvera & Didier Plat & Pascal Pochet, 2015. "Assessment of mobility inequalities and income data collection. Methodological issues and a case study (Douala, Cameroon) [Evaluation des inégalités de mobilité et recueil des revenus. Questions mé," Post-Print halshs-01235185, HAL.
    7. Lourdes Diaz Olvera & Didier Plat & Pascal Pochet, 2015. "Assessment of mobility inequalities and income data collection. Methodological issues and a case study (Douala, Cameroon)," Post-Print halshs-01205776, HAL.
    8. Brakewood, Candace & Ziedan, Abubakr & Hendricks, Sara J. & Barbeau, Sean J. & Joslin, Ann, 2020. "An evaluation of the benefits of mobile fare payment technology from the user and operator perspectives," Transport Policy, Elsevier, vol. 93(C), pages 54-66.
    9. Canoquena, Joao & King, Mark, 2015. "Adaptive nature of coordinated road traffic injury prevention responses in some OECD countries," Journal of Transport Geography, Elsevier, vol. 46(C), pages 81-88.
    10. Rösch, Christine & Varela Villarreal, Jessica, 2021. "Perception of EU citizens on engineered biocatalytic solar fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    11. Nagwan AlQershi & Sany Sanuri Mohd Mokhtar & Zakaria Abas, 2022. "The influence of structural capital on the relationship between CRM implementation and the performance of manufacturing SMEs," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1205-1218, June.
    12. Suman, Hemant K. & Bolia, Nomesh B. & Tiwari, Geetam, 2017. "Comparing public bus transport service attributes in Delhi and Mumbai: Policy implications for improving bus services in Delhi," Transport Policy, Elsevier, vol. 56(C), pages 63-74.
    13. Sharmeen, Fariya & Arentze, Theo & Timmermans, Harry, 2014. "An analysis of the dynamics of activity and travel needs in response to social network evolution and life-cycle events: A structural equation model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 159-171.
    14. Nicoletta D’Angelo & Antonino Abbruzzo & Mauro Ferrante & Giada Adelfio & Marcello Chiodi, 2024. "GPS data on tourists: a spatial analysis on road networks," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 477-499, September.
    15. Manca, Francesco & Sivakumar, Aruna & Daina, Nicolò & Axsen, Jonn & Polak, John W, 2020. "Modelling the influence of peers’ attitudes on choice behaviour: Theory and empirical application on electric vehicle preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 278-298.
    16. Diaz Olvera, Lourdes & Plat, Didier & Pochet, Pascal, 2015. "Assessment of mobility inequalities and income data collection. Methodological issues and a case study (Douala, Cameroon)," Journal of Transport Geography, Elsevier, vol. 46(C), pages 180-188.
    17. Firnkorn, Jörg, 2012. "Triangulation of two methods measuring the impacts of a free-floating carsharing system in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1654-1672.
    18. Takuya Maruyama & Kenta Hosotani & Tomoki Kawano, 2021. "Inferring proxy response in household travel surveys with unknown completer using a group-based choice model," Transportation, Springer, vol. 48(1), pages 283-302, February.
    19. Brakewood, Candace & Barbeau, Sean & Watkins, Kari, 2014. "An experiment evaluating the impacts of real-time transit information on bus riders in Tampa, Florida," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 409-422.
    20. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.

    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:40:y:2013:i:4:p:773-788. 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.