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The effect of social interactions on travel behaviour: An exploratory study using a laboratory experiment


  • Sunitiyoso, Yos
  • Avineri, Erel
  • Chatterjee, Kiron


This study demonstrates the use of a laboratory experiment for investigating the effects of social interaction on the dynamics of travellers' choice behaviour. A small-scale exploratory experiment is carried out. Analyses are conducted using statistical tests, descriptive methods and learning models to investigate the net and gross effects of social interaction behaviour, as well as the direction of change of each individual's behaviour. The study shows how a laboratory experiment can enhance understanding of the effects of social interaction on travellers' behaviour at both the system and individual traveller levels.

Suggested Citation

  • Sunitiyoso, Yos & Avineri, Erel & Chatterjee, Kiron, 2011. "The effect of social interactions on travel behaviour: An exploratory study using a laboratory experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(4), pages 332-344, May.
  • Handle: RePEc:eee:transa:v:45:y:2011:i:4:p:332-344

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    References listed on IDEAS

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    5. Mahmassani, Hani S. & Jou, Rong-Chang, 2000. "Transferring insights into commuter behavior dynamics from laboratory experiments to field surveys," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(4), pages 243-260, May.
    6. Friedman,Daniel & Sunder,Shyam, 1994. "Experimental Methods," Cambridge Books, Cambridge University Press, number 9780521456821, March.
    7. Fischbacher, Urs & Gachter, Simon & Fehr, Ernst, 2001. "Are people conditionally cooperative? Evidence from a public goods experiment," Economics Letters, Elsevier, vol. 71(3), pages 397-404, June.
    8. Offerman, Theo & Sonnemans, Joep, 1998. "Learning by experience and learning by imitating successful others," Journal of Economic Behavior & Organization, Elsevier, vol. 34(4), pages 559-575, March.
    9. Ayako Taniguchi & Satoshi Fujii, 2007. "Promoting Public Transport Using Marketing Techniques in Mobility Management and Verifying their Quantitative Effects," Transportation, Springer, vol. 34(1), pages 37-49, January.
    10. Theo Arentze & Harry Timmermans, 2008. "Social networks, social interactions, and activity-travel behavior: a framework for microsimulation," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 35(6), pages 1012-1027, November.
    11. Isaac, R Mark & Walker, James M, 1988. "Communication and Free-Riding Behavior: The Voluntary Contribution Mechanism," Economic Inquiry, Western Economic Association International, vol. 26(4), pages 585-608, October.
    12. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
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    Cited by:

    1. Chidambaram, Bhuvanachithra & Janssen, Marco A. & Rommel, Jens & Zikos, Dimitrios, 2014. "Commuters’ mode choice as a coordination problem: A framed field experiment on traffic policy in Hyderabad, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 9-22.
    2. repec:eee:transa:v:100:y:2017:i:c:p:88-104 is not listed on IDEAS
    3. Wei, Fangfang & Jia, Ning & Ma, Shoufeng, 2016. "Day-to-day traffic dynamics considering social interaction: From individual route choice behavior to a network flow model," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 335-354.
    4. Jan-Dirk Schmöcker & Tsuyoshi Hatori & David Watling, 2014. "Dynamic process model of mass effects on travel demand," Transportation, Springer, vol. 41(2), pages 279-304, March.


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