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

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  • 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
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    References listed on IDEAS

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    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.
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    4. Stopher,Peter, 2012. "Collecting, Managing, and Assessing Data Using Sample Surveys," Cambridge Books, Cambridge University Press, number 9780521681872.
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    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Hagiladi, Na'amah & O. Plaut, Pnina, 2021. "Social networks' group tie strength and travel behavior," Journal of Transport Geography, Elsevier, vol. 93(C).
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    10. 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.
    11. 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.
    12. 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.
    13. 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.

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