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Modeling the Commute Mode Share of Transit Using Continuous Accessibility to Jobs

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 accessibility-based model of aggregate commute mode share, focusing on the share of transit relative to auto. It demonstrates the use of continuous accessibility — calculated continuously in time, rather than at a single or a few departure times — for the evaluation of transit systems. These accessibility calculations are accomplished using only publicly-available data sources. A binomial logit model is estimated which predicts the likelihood that a commuter will choose transit rather than auto for a commute trip based on aggregate characteristics of the surrounding area. Variables in this model include demographic factors as well as detailed accessibility calculations for both transit and auto. The model achieves a rho^2 value of 0.597, and analysis of the results suggests that continuous accessibility of transit systems may be a valuable tool for use in modeling and forecasting.

Suggested Citation

  • Andrew Owen & David Levinson, 2013. "Modeling the Commute Mode Share of Transit Using Continuous Accessibility to Jobs," Working Papers 000115, University of Minnesota: Nexus Research Group.
    • Handle: RePEc:nex:wpaper:modelingcommutemodeshare
    as

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    File URL: http://hdl.handle.net/11299/180066
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    References listed on IDEAS

    as
    1. Mizuki Kawabata, 2003. "Job Access and Employment among Low-Skilled Autoless Workers in US Metropolitan Areas," Environment and Planning A, , vol. 35(9), pages 1651-1668, September.
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    3. Fan, Yingling & Guthrie, Andrew E & Levinson, David M, 2012. "Impact of light rail implementation on labor market accessibility: A transportation equity perspective," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(3), pages 28-39.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    travel behavior; accessibility; mode choice;
    All these keywords.

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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