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Truth in Transportation Planning

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  • Shoup, Donald C

Abstract

Transportation engineers and urban planners often report uncertain estimates as precise numbers, and unwarranted trust in the accuracy of those precise numbers can lead to bad transportation and land-use policies. This paper presents data on parking generation and trip generation rates to illustrate the misuse of precise numbers to report statistically insignificant estimates . Beyond the problem of statistical insignificance, parking and trip generation rates typically report the parking demand and vehicle trips observed at suburban sites with ample free parking and no public transit. These parking and trip generation rates are therefore useful guides for planning a city where everyone will drive everywhere they go and park free when they get there.

Suggested Citation

  • Shoup, Donald C, 2003. "Truth in Transportation Planning," University of California Transportation Center, Working Papers qt999346pn, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt999346pn
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    Cited by:

    1. Junge, Jason & Levinson, David, 2012. "Prospects for transportation utility fees," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(1), pages 33-47.
    2. Guang Tian & Reid Ewing & Rachel Weinberger & Kevin Shively & Preston Stinger & Shima Hamidi, 2017. "Trip and parking generation at transit-oriented developments: a case study of Redmond TOD, Seattle region," Transportation, Springer, vol. 44(5), pages 1235-1254, September.
    3. Cervero, Robert & Adkins, Arlie & Sullivan, Cathleen, 2009. "Are TODs Over-Parked?," University of California Transportation Center, Working Papers qt655566km, University of California Transportation Center.
    4. Currans, Kristina M. & Clifton, Kelly J., 2018. "Exploring ITE’s Trip Generation Manual: Assessing age of data and land-use taxonomy in vehicle trip generation for transportation impact analyses," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 387-398.

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    Keywords

    Social and Behavioral Sciences;

    Statistics

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