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Uncovering the influence of commuters' perception on the reliability ratio

Author

Listed:
  • Carlos Carrion
  • David Levinson

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

Abstract

The dominant method for measuring values of travel time savings (VOT), and values of travel time reliability (VOR) is discrete choice modeling. Generally, the data sources for these models are: stated choice experiments, and revealed preference observations. There are few studies using revealed preference data. These studies have only used travel times measured by devices such as loop detectors, and thus the perception error of travelers has been largely ignored. In this study, the influence of commuters’ perception error is investigated on data collected of commuters recruited from previous research. The subjects’ self-reported travel times from surveys, and the subjects’ travel times measured by GPS devices were collected. The results indicate that the subjects reliability ratio is greater than 1 in the models with self-reported travel times. In contrast, subjects reliability ratio is smaller than 1 in the models with travel times as measured by GPS devices.

Suggested Citation

  • Carlos Carrion & David Levinson, 2012. "Uncovering the influence of commuters' perception on the reliability ratio," Working Papers 000108, University of Minnesota: Nexus Research Group.
  • Handle: RePEc:nex:wpaper:reliabilityratioperception
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    File URL: http://hdl.handle.net/11299/179815
    File Function: First version, 2012
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    Keywords

    route choice; GPS data; choice dynamics; travel time reliability; network reliability; value of reliability; value of time.;

    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
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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