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Incremental Accessibility Benefits and HOT Lane Subscription Choice

Author

Listed:
  • Andrew Owen
  • David Levinson

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

Abstract

This paper presents the results of an investigation into the factors contributing to toll lane subscription choice using data from the MnPASS HOT lane system operated by the Minnesota Department of Transportation. A binomial logit model is estimated which predicts the likelihood that a household will have a subscription to the MnPASS system based on aggregate characteristics of the surrounding area. Variables in this model include demographic factors as well as an estimate of the incremental accessibility benefit provided by the MnPASS system. This benefit is estimated using detailed accessibility calculations. The model achieves a pseudo-r-squared value of 0.634, and analysis of the results suggest that incremental accessibility benefits play a statistically and practically significant role in determining how likely households are to hold a toll lane subscription.

Suggested Citation

  • Andrew Owen & David Levinson, 2013. "Incremental Accessibility Benefits and HOT Lane Subscription Choice," Working Papers 000114, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:subscriptionchoice
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    File URL: http://hdl.handle.net/11299/180048
    File Function: Second version, 2015
    Download Restriction: no
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    Citations

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    Cited by:

    1. Michael Janson & David Levinson, 2014. "Alternative High Occupancy/Toll Lane Pricing Strategies and their Effect on Market Share," Working Papers 000121, University of Minnesota: Nexus Research Group.

    More about this item

    Keywords

    road pricing; travel behavior; subscription choice; HOT lanes; accessibility;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy

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