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Travelers’ compliance with social routing advice: evidence from SP and RP experiments

Author

Listed:
  • Mariska van Essen

    (University of Twente)

  • Tom Thomas

    (University of Twente)

  • Eric van Berkum

    (University of Twente)

  • Caspar Chorus

    (Delft University of Technology)

Abstract

This study examines to what extent travel information can be used to direct travelers to system-optimal routes that may be sub-optimal for them personally, but contribute to network efficiency. This is done by empirically examining determinants of travelers’ compliance with social routing advice. To that end, we conducted both a stated choice experiment and a revealed choice experiment (which also collected stated intentions and motivations for revealed behavior). Results from the stated choice experiment indicate a significant difference in compliance behavior across different information frames, societal goals, sizes of travel time sacrifices and personality. These findings are less evident from results based on analysis of revealed choices; i.e., the main motivation for revealed compliance seems to be an intrinsic motivation to contribute to improved throughput, while the main motivation for non-compliance relates to perceived traffic conditions. Moreover, the size of the travel time sacrifice seems not that important as expected. Nonetheless, comparing stated intentions with real-world behavior suggests that a relation between intention and compliance frequency does exist.

Suggested Citation

  • Mariska van Essen & Tom Thomas & Eric van Berkum & Caspar Chorus, 2020. "Travelers’ compliance with social routing advice: evidence from SP and RP experiments," Transportation, Springer, vol. 47(3), pages 1047-1070, June.
    • Handle: RePEc:kap:transp:v:47:y:2020:i:3:d:10.1007_s11116-018-9934-z
    DOI: 10.1007/s11116-018-9934-z
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    References listed on IDEAS

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    Cited by:

    1. Eikenbroek, Oskar A.L. & Still, Georg J. & van Berkum, Eric C., 2022. "Improving the performance of a traffic system by fair rerouting of travelers," European Journal of Operational Research, Elsevier, vol. 299(1), pages 195-207.
    2. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).
    3. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part I. Macro-scale analysis of literature and integrative synthesis of empirical evidence from applied economics, experimental psychology and neuroimag," Journal of choice modelling, Elsevier, vol. 41(C).
    4. Milad Haghani & Michiel C. J. Bliemer & John M. Rose & Harmen Oppewal & Emily Lancsar, 2021. "Hypothetical bias in stated choice experiments: Part II. Macro-scale analysis of literature and effectiveness of bias mitigation methods," Papers 2102.02945, arXiv.org.
    5. Koller, Florian, 2021. "What determines the acceptance of socially optimal traffic coordination?: A scenario-based examination in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 62-75.
    6. Vosough, Shaghayegh & Roncoli, Claudio, 2024. "Achieving social routing via navigation apps: User acceptance of travel time sacrifice," Transport Policy, Elsevier, vol. 148(C), pages 246-256.

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