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Dynamics of face-to-face social interaction frequency: role of accessibility, urbanization, changes in geographical distance and path dependence

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  • Sharmeen, Fariya
  • Arentze, Theo
  • Timmermans, Harry

Abstract

Commonly, frequency of social interaction is modelled as a function of an ego’s socio-demographic characteristics and dyad characteristics of ego and alters. This study is based on the contention that proximity to alters and accessibility to services and degree of urbanization moderate this relationship. In addition, marking the contribution of this study to the literature, social interaction frequencies are dynamic and change over time. Therefore, face-to-face interaction frequencies are subjected to the history of interaction and distance dynamics between actors. By taking these aspects into account, important research questions can be addressed, for instance, would the frequency of meeting between an ego and an alter increase if the alter lives nearby now, but was previously located far away? Or how often would the ego meet an alter who was living nearby but moved to a more distant location now? The answers could provide important feedback to tie maintenance, strength, disappearances and social travel dynamics over time. This study draws from the concepts of path dependence, life course and accessibility and shows that history and accessibility indicators can explain part of the frequency of face-to-face interactions. Life cycle events were taken as triggers of these changes. Retrospective survey data are used for the analyses. Face-to-face social interaction frequency between egos and their alters was recorded before and after the life cycle event. A stepwise ordered logit model estimation reveals that social travel frequency can be better predicted when geographical indicators and path dependence are included in the model specification.

Suggested Citation

  • Sharmeen, Fariya & Arentze, Theo & Timmermans, Harry, 2014. "Dynamics of face-to-face social interaction frequency: role of accessibility, urbanization, changes in geographical distance and path dependence," Journal of Transport Geography, Elsevier, vol. 34(C), pages 211-220.
    • Handle: RePEc:eee:jotrge:v:34:y:2014:i:c:p:211-220
    DOI: 10.1016/j.jtrangeo.2013.12.011
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    8. Pettifor, H. & Wilson, C. & Axsen, J. & Abrahamse, W. & Anable, J., 2017. "Social influence in the global diffusion of alternative fuel vehicles – A meta-analysis," Journal of Transport Geography, Elsevier, vol. 62(C), pages 247-261.
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    11. Scheiner, Joachim, 2020. "Changes in travel mode use over the life course with partner interactions in couple households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 791-807.
    12. Eran Ben-Elia & Feng Zhen, 2018. "ICT, activity space–time and mobility: new insights, new models, new methodologies," Transportation, Springer, vol. 45(2), pages 267-272, March.
    13. Giancarlos Troncoso Parady & Genki Katayama & Hiromu Yamazaki & Tatsuki Yamanami & Kiyoshi Takami & Noboru Harata, 2019. "Analysis of social networks, social interactions, and out-of-home leisure activity generation: Evidence from Japan," Transportation, Springer, vol. 46(3), pages 537-562, June.
    14. Rubin, Ori, 2015. "Contact between parents and adult children: The role of time constraints, commuting and automobility," Journal of Transport Geography, Elsevier, vol. 49(C), pages 76-84.
    15. Kim, Hongjik & Usui, Hiroyuki & Asami, Yasushi & Hino, Kimihiro, 2022. "A simulation of allocation of participants engaging in group activities at community salons: Accessibility and self-stigma," Social Science & Medicine, Elsevier, vol. 292(C).
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    17. van den Berg, Pauline & Weijs-Perrée, Minou & Arentze, Theo, 2018. "Dynamics in social activity-travel patterns: Analyzing the role of life-cycle events and path dependence in face-to-face and ICT-mediated social interactions," Research in Transportation Economics, Elsevier, vol. 68(C), pages 29-37.

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