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Network Structure and Travel Time Perception

Author

Listed:
  • Pavithra Parthasarathi
  • David Levinson
  • Hartwig Hochmair

    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

Road networks have an underlying structure. This structure is defined by the layout, arrangement and the connectivity of the individual network elements, the road segments and their intersections. The differences in network structure exist across and within networks. Travelers perceive and respond to these differences in underlying network structure and complexity. This paper extends the analysis to understanding the underlying theory of why network structure influences travel. Specifically the focus is on the influence of network structure on travel time perception. The hypothesis here is that network design influences traveler perceptions, more specifically the perceptions of travel distance and time. This perception of travel distance and time in turn influences the actual travel by affecting choice of destination, mode, route, and whether to engage in activities.

Suggested Citation

  • Pavithra Parthasarathi & David Levinson & Hartwig Hochmair, 2012. "Network Structure and Travel Time Perception," Working Papers 000102, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:networkstructureandtraveltimeperception
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    File URL: http://hdl.handle.net/11299/180038
    File Function: First version, 2013
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    References listed on IDEAS

    as
    1. Parthasarathi, Pavithra & Levinson, David, 2010. "Post-construction evaluation of traffic forecast accuracy," Transport Policy, Elsevier, vol. 17(6), pages 428-443, November.
    2. Pavithra Parthasarathi & Hartwig Hochmair & David Levinson, 2012. "Network Structure and Spatial Separation," Environment and Planning B, , vol. 39(1), pages 137-154, February.
    3. Mark Casson, 2009. "The Efficiency of the Victorian British Railway Network: A Counterfactual Analysis," Networks and Spatial Economics, Springer, vol. 9(3), pages 339-378, September.
    4. David Levinson, 2012. "Network Structure and City Size," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-11, January.
    5. Jiang, Bin, 2007. "A topological pattern of urban street networks: Universality and peculiarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 647-655.
    6. Levinson, David & El-Geneidy, Ahmed, 2009. "The minimum circuity frontier and the journey to work," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 732-738, November.
    7. Feng Xie & David Levinson, 2009. "Modeling the Growth of Transportation Networks: A Comprehensive Review," Networks and Spatial Economics, Springer, vol. 9(3), pages 291-307, September.
    8. Alexander Erath & Michael Löchl & Kay Axhausen, 2009. "Graph-Theoretical Analysis of the Swiss Road and Railway Networks Over Time," Networks and Spatial Economics, Springer, vol. 9(3), pages 379-400, September.
    9. Hu, Yihong & Zhu, Daoli, 2009. "Empirical analysis of the worldwide maritime transportation network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(10), pages 2061-2071.
    10. Arnold van Exel, Nicolaas Jacob & Rietveld, Piet, 2010. "Perceptions of public transport travel time and their effect on choice-sets among car drivers," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 75-86.
    11. 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.
    12. Ballou, Ronald H. & Rahardja, Handoko & Sakai, Noriaki, 2002. "Selected country circuity factors for road travel distance estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(9), pages 843-848, November.
    13. Feng Xie & David M. Levinson, 2011. "Evolving Transportation Networks," Transportation Research, Economics and Policy, Springer, number 978-1-4419-9804-0, April.
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    Cited by:

    1. Michael Janson & David Levinson, 2013. "HOT or Not: Driver Elasticity to Price on the MnPASS HOT Lanes," Working Papers 000111, University of Minnesota: Nexus Research Group.
    2. 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.
    3. Boeing, Geoff, 2017. "Methods and Measures for Analyzing Complex Street Networks and Urban Form," SocArXiv 93h82, Center for Open Science.

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    More about this item

    Keywords

    network structure; time perception; travel behavior;
    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
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

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