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Significant characteristics of the urban rail renaissance in the United States: A discriminant analysis

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  • Lane, Bradley W.
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    Abstract

    In the rebirth of light-rail in the US, there has been little quantitative work detailing the differences between cities that have built rail transit and those that have not. In this study, 18 independent variables measuring a variety of characteristics that might promote or hinder rail transit construction are examined for 13 cities that built rail and 22 that did not, but considered it. After isolating the most significant variables, a two-group discriminant analysis generates a function from a randomly chosen set of 25 cities, and then cross-validates it on a separate set of 10. That model attempts to classify the cities into their respective groups. A model with three significant independent variables is generated that correctly classifies 33 of the 35 cities. The results indicate that cities which chose to build rail already had relatively well-used bus systems. There also appears to be an image and economic development aspect associated with rail construction.

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    Bibliographic Info

    Article provided by Elsevier in its journal Transportation Research Part A: Policy and Practice.

    Volume (Year): 42 (2008)
    Issue (Month): 2 (February)
    Pages: 279-295

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    Handle: RePEc:eee:transa:v:42:y:2008:i:2:p:279-295

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    1. Mackett, Roger L. & Edwards, Marion, 1998. "The impact of new urban public transport systems: will the expectations be met?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(4), pages 231-245, May.
    2. Edwards, Marion & Mackett, Roger L, 1996. "Developing new urban public transport systems : An irrational decision-making process," Transport Policy, Elsevier, vol. 3(4), pages 225-239, October.
    3. Rubin, Thomas A. & Moore II, James E. & Lee, Shin, 1999. "Ten myths about US urban rail systems," Transport Policy, Elsevier, vol. 6(1), pages 57-73, January.
    4. Ben-Akiva, Moshe & Morikawa, Takayuki, 2002. "Comparing ridership attraction of rail and bus," Transport Policy, Elsevier, vol. 9(2), pages 107-116, April.
    5. FitzRoy, Felix & Smith, Ian, 1998. "Public transport demand in Freiburg: why did patronage double in a decade?," Transport Policy, Elsevier, vol. 5(3), pages 163-173, June.
    6. Kain, John F. & Liu, Zvi, 1999. "Secrets of success: assessing the large increases in transit ridership achieved by Houston and San Diego transit providers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(7-8), pages 601-624.
    7. Bent Flyvbjerg & Mette K. Skamris holm & S�ren L. Buhl, 2003. "How common and how large are cost overruns in transport infrastructure projects?," Transport Reviews, Taylor & Francis Journals, vol. 23(1), pages 71-88, January.
    8. Ela Babalik-Sutcliffe, 2002. "Urban rail systems: Analysis of the factors behind success," Transport Reviews, Taylor & Francis Journals, vol. 22(4), pages 415-447, January.
    9. Kuby, Michael & Barranda, Anthony & Upchurch, Christopher, 2004. "Factors influencing light-rail station boardings in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 223-247, March.
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    Cited by:
    1. De Bruijn, Hans & Veeneman, Wijnand, 2009. "Decision-making for light rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 349-359, May.
    2. Galit Cohen-Blankshtain & Eran Feitelson, 2011. "Light rail routing: do goals matter?," Transportation, Springer, vol. 38(2), pages 343-361, March.
    3. Lindsey, Marshall & Schofer, Joseph L. & Durango-Cohen, Pablo & Gray, Kimberly A., 2010. "Relationship between proximity to transit and ridership for journey-to-work trips in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(9), pages 697-709, November.

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