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

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

Abstract

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.

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  • 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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    Cited by:

    1. Sunitiyoso, Yos & Avineri, Erel & Chatterjee, Kiron, 2013. "Dynamic modelling of travellers’ social interactions and social learning," Journal of Transport Geography, Elsevier, vol. 31(C), pages 258-266.
    2. Ryley, Tim J. & Zanni, Alberto M., 2013. "An examination of the relationship between social interactions and travel uncertainty," Journal of Transport Geography, Elsevier, vol. 31(C), pages 249-257.
    3. Babutsidze, Zakaria & Chai, Andreas, 2018. "Look at me Saving the Planet! The Imitation of Visible Green Behavior and its Impact on the Climate Value-Action Gap," Ecological Economics, Elsevier, vol. 146(C), pages 290-303.
    4. Avineri, Erel, 2012. "On the use and potential of behavioural economics from the perspective of transport and climate change," Journal of Transport Geography, Elsevier, vol. 24(C), pages 512-521.
    5. Su, Duan & Wang, Yacan & Yang, Nan & Wang, Xianghong, 2020. "Promoting considerate parking behavior in dockless bike-sharing: An experimental study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 153-165.
    6. 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.
    7. Cherchi, Elisabetta, 2017. "A stated choice experiment to measure the effect of informational and normative conformity in the preference for electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 88-104.
    8. 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.
    9. Zhang, Guijie & Wei, Fangfang & Jia, Ning & Ma, Shoufeng & Wu, Yi, 2019. "Information adoption in commuters’ route choice in the context of social interactions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 300-316.
    10. Maness, Michael & Cirillo, Cinzia & Dugundji, Elenna R., 2015. "Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior," Journal of Transport Geography, Elsevier, vol. 46(C), pages 137-150.
    11. 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.
    12. Lisa Döring & Maarten Kroesen & Christian Holz-Rau, 2019. "The role of parents’ mobility behavior for dynamics in car availability and commute mode use," Transportation, Springer, vol. 46(3), pages 957-994, June.

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