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A Use-Based Measure of Accessibility to Linear Features to Predict Urban Trail Use

Author

Listed:
  • John R. Ottensmann

    (ndiana University-Purdue University Indianapolis)

  • Greg Lindsey

    (Indiana University-Purdue University Indianapolis)

Abstract

The standard Hansen measure of accessibility is extended to provide a use-based measure of accessibility reflecting the elasticity of use with respect to the level of provision of facilities. This is further extended to provide a measure of accessibility to linear features, such as trails (as opposed to features at point locations such as parks and libraries). Results from a survey on the use of urban trails in Indianapolis, Indiana are used to test the ability of this accessibility measure to predict trail use. The use-based measure of accessibility to linear features provides better predictions of use and more consistent estimates of the effects of distance and level of facility provision on trail use.

Suggested Citation

  • John R. Ottensmann & Greg Lindsey, 2008. "A Use-Based Measure of Accessibility to Linear Features to Predict Urban Trail Use," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(1), pages 41-63.
    • Handle: RePEc:ris:jtralu:0005
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Sadayuki, Taisuke, 2018. "Measuring the spatial effect of multiple sites: An application to housing rent and public transportation in Tokyo, Japan," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 155-173.
    2. David Levinson & Arthur Huang, 2012. "A Positive Theory of Network Connectivity," Environment and Planning B, , vol. 39(2), pages 308-325, April.
    3. David M Levinson & Kevin Krizek, 2008. "From the Editors," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 1(2), pages 1-3.
    4. Ahmed El-Geneidy & David Levinson, 2011. "Place Rank: Valuing Spatial Interactions," Networks and Spatial Economics, Springer, vol. 11(4), pages 643-659, December.
    5. repec:osf:socarx:evpfq_v1 is not listed on IDEAS
    6. Wang, Xize & Lindsey, Greg & Hankey, Steve & Hoff, Kris, 2014. "Estimating Mixed-Mode Urban Trail Traffic Using Negative Binomial Regression Models," SocArXiv evpfq, Center for Open Science.
    7. Sandy, Robert & Tchernis, Rusty & Wilson, Jeffrey & Liu, Gilbert & Zhou, Xilin, 2013. "Effects of the built environment on childhood obesity: The case of urban recreational trails and crime," Economics & Human Biology, Elsevier, vol. 11(1), pages 18-29.
    8. Taisuke Sadayuki, 2017. "Measuring the spatial effect of multiple sites," RIEEM Discussion Paper Series 1703, Research Institute for Environmental Economics and Management, Waseda University.
    9. Ayesha Saleem & Khalique Kamboh, 2013. "Why People Visit Parks? The Role of Gender, Age and Education among Urban Park Visitors in Faisalabad," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 3(10), pages 2196-2203, October.
    10. Paul Anderson & Andrew Owen & David Levinson, 2012. "The Time Between: Continuously-defined accessibility functions for schedule-based transportation systems," Working Papers 000098, University of Minnesota: Nexus Research Group.

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    More about this item

    Keywords

    accessibility; trails;

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General

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