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Social networks, social influence and activity-travel behaviour: a review of models and empirical evidence

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  • Jinhee Kim
  • Soora Rasouli
  • Harry J. P. Timmermans

Abstract

The study of social networks in activity-travel research has recently gained momentum because social activities and social influence were relatively poorly explained in activity-based models of travel demand. Over the last decade, many scholars have shown interest in identifying personal social networks that constitute an important source of explanation of activity-travel behaviour. This paper seeks to review two research streams: social networks and activity-travel behaviour, and social influence and travel decisions. We classify models, summarise empirical findings and discuss important issues that require further research.

Suggested Citation

  • Jinhee Kim & Soora Rasouli & Harry J. P. Timmermans, 2018. "Social networks, social influence and activity-travel behaviour: a review of models and empirical evidence," Transport Reviews, Taylor & Francis Journals, vol. 38(4), pages 499-523, July.
    • Handle: RePEc:taf:transr:v:38:y:2018:i:4:p:499-523
    DOI: 10.1080/01441647.2017.1351500
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    Cited by:

    1. Michael Bailey & Drew Johnston & Theresa Kuchler & Dominic Russel & Bogdan State & Johannes Stroebel, 2020. "Online Appendix & Additional Results for The Determinants of Social Connectedness in Europe," Papers 2007.12177, arXiv.org.
    2. Giancarlos Parady & Kiyoshi Takami & Noboru Harata, 2021. "Egocentric social networks and social interactions in the Greater Tokyo Area," Transportation, Springer, vol. 48(2), pages 831-856, April.
    3. Bailey, Michael & Kuchler, Theresa & Russel, Dominic & State, Bogdan & Stroebel, Johannes, 2020. "Social Connectedness in Europe," SocArXiv 3wh67, Center for Open Science.
    4. Fontecha, John E. & Walteros, Jose L. & Nikolaev, Alexander, 2021. "Reach maximization for social lotteries," Omega, Elsevier, vol. 105(C).
    5. 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).
    6. 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.
    7. Michael Bailey & Theresa Kuchler & Dominic Russel & Bogdan State & Johannes Stroebel, 2020. "The Determinants and Effects of Social Connectedness in Europe," CESifo Working Paper Series 8310, CESifo.
    8. Kiran Tomlinson & Austin R. Benson, 2022. "Graph-Based Methods for Discrete Choice," Papers 2205.11365, arXiv.org, revised Nov 2023.
    9. Jian Min & Jiaojiao Zhu & Jian-Bo Yang, 2020. "The Risk Monitoring of the Financial Ecological Environment in Chinese Outward Foreign Direct Investment Based on a Complex Network," Sustainability, MDPI, vol. 12(22), pages 1-26, November.
    10. Islam, Jamid Ul & Hollebeek, Linda D. & Rahman, Zillur & Khan, Imran & Rasool, Aaleya, 2019. "Customer engagement in the service context: An empirical investigation of the construct, its antecedents and consequences," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 277-285.
    11. Liu, Qiyang & Liu, Yang & Zhang, Chi & An, Zihao & Zhao, Pengjun, 2021. "Elderly mobility during the COVID-19 pandemic: A qualitative exploration in Kunming, China," Journal of Transport Geography, Elsevier, vol. 96(C).
    12. Pan, Xiaofeng & Rasouli, Soora & Timmermans, Harry, 2019. "Modeling social influence using sequential stated adaptation experiments: A study of city trip itinerary choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 652-672.

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