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Overestimation and underestimation of travel time on commute trips: GPS vs. self- reporting

Author

Listed:
  • Carlos Carrion
  • David Levinson

    (TransportLab, School of Civil Engineering, University of Sydney)

Abstract

The underlying structure of road networks (e.g., circuity, relative discontinuity) contributes to the travel time perception of travelers. This study considers additional factors (e.g., arrival flexibility, access to traffic information) and tests nonlinearities linking perception of travel time. These factors are linked to four categories according to time perception research in psychology: temporal relevance, temporal uncertainty, and temporal expectancies; task complexity, absorption, and attentional deployment; and affective elements. This study estimates the relationship on data collected from commuters recruited from a previous GPS-based study in the Minneapolis-St. Paul region consisting of trips from home to work and back. For these work trips, the subjects’ self-reported travel times and the subjects’ travel times measured by GPS devices were collected. The results indicate that nonlinearities are present for road network attributes. Furthermore, the additional factors (e.g., arrival flexibility, access to traffic information) influence the travel time perception of travelers.

Suggested Citation

  • Carlos Carrion & David Levinson, 2019. "Overestimation and underestimation of travel time on commute trips: GPS vs. self- reporting," Working Papers 2019-05, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:overestimation
    DOI: 10.3390/urbansci3030070
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    File URL: http://hdl.handle.net/2123/21179
    File Function: First version, 2019
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    References listed on IDEAS

    as
    1. Pavithra Parthasarathi & Hartwig Hochmair & David Levinson, 2012. "Network Structure and Spatial Separation," Environment and Planning B, , vol. 39(1), pages 137-154, February.
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    5. Varela, Juan Manuel Lorenzo & Börjesson, Maria & Daly, Andrew, 2018. "Quantifying errors in travel time and cost by latent variables," Working papers in Transport Economics 2018:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
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    8. Pavithra Parthasarathi & David Levinson & Hartwig Hochmair, 2013. "Network Structure and Travel Time Perception," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-13, October.
    9. Zhu, Shanjiang & Levinson, David & Liu, Henry X. & Harder, Kathleen, 2010. "The traffic and behavioral effects of the I-35W Mississippi River bridge collapse," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 771-784, December.
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    11. Varotto, Silvia F. & Glerum, Aurélie & Stathopoulos, Amanda & Bierlaire, Michel & Longo, Giovanni, 2017. "Mitigating the impact of errors in travel time reporting on mode choice modelling," Journal of Transport Geography, Elsevier, vol. 62(C), pages 236-246.
    12. Carlos Carrion & David M. Levinson, 2012. "A Model of Bridge Choice Across the Mississippi River in Minneapolis," Transportation Research, Economics and Policy, in: David M. Levinson & Henry X. Liu & Michael Bell (ed.), Network Reliability in Practice, edition 1, chapter 0, pages 115-129, Springer.
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    15. David Levinson & Kathleen Harder & John Bloomfield & Kasia Winiarczyk, 2004. "Weighting Waiting: Evaluating the Perception of In-Vehicle Travel Time Under Moving and Stopped Conditions," Working Papers 200401, University of Minnesota: Nexus Research Group.
    16. W. Burke Jackson & James V. Jucker, 1982. "An Empirical Study of Travel Time Variability and Travel Choice Behavior," Transportation Science, INFORMS, vol. 16(4), pages 460-475, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. David Levinson & Hao Wu, 2020. "Towards a general theory of access," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    2. Banick, Robert & Heyns, Andries M. & Regmi, Suraj, 2021. "Evaluation of rural roads construction alternatives according to seasonal service accessibility improvement using a novel multi-modal cost-time model: A study in Nepal's remote and mountainous Karnali," Journal of Transport Geography, Elsevier, vol. 93(C).
    3. Mengying Cui & David Levinson, 2021. "Shortest paths, travel costs, and traffic," Environment and Planning B, , vol. 48(4), pages 828-844, May.

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    More about this item

    Keywords

    travel time perception; GPS data; travel behavior; network structure;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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