IDEAS home Printed from https://ideas.repec.org/a/eee/juecon/v41y1997i2p176-197.html
   My bibliography  Save this article

Fares, Service Levels, and Demographics: What Determines Commuter Rail Ridership in the Long Run?

Author

Listed:
  • Voith, Richard

Abstract

No abstract is available for this item.

Suggested Citation

  • Voith, Richard, 1997. "Fares, Service Levels, and Demographics: What Determines Commuter Rail Ridership in the Long Run?," Journal of Urban Economics, Elsevier, vol. 41(2), pages 176-197, March.
  • Handle: RePEc:eee:juecon:v:41:y:1997:i:2:p:176-197
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0094-1190(96)91092-X
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kenneth Train, 1980. "A Structured Logit Model of Auto Ownership and Mode Choice," Review of Economic Studies, Oxford University Press, vol. 47(2), pages 357-370.
    2. Richard Voith, 1994. "Public transit: realizing its potential," Business Review, Federal Reserve Bank of Philadelphia, issue Sep, pages 15-23.
    3. Voith Richard, 1993. "Changing Capitalization of CBD-Oriented Transportation Systems: Evidence from Philadelphia, 1970-1988," Journal of Urban Economics, Elsevier, vol. 33(3), pages 361-376, May.
    4. Richard Voith, 1991. "Transportation, Sorting and House Values," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 19(2), pages 117-137.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bilotkach, Volodymyr & Fageda, Xavier & Flores-Fillol, Ricardo, 2010. "Scheduled service versus personal transportation: The role of distance," Regional Science and Urban Economics, Elsevier, vol. 40(1), pages 60-72, January.
    2. repec:eee:trapol:v:58:y:2017:i:c:p:72-79 is not listed on IDEAS
    3. Zhang, Zheng & Fujii, Hidemichi & Managi, Shunsuke, 2014. "How does Commuting Behavior Change Due to Incentives? An Empirical Study of the Beijing Subway System," MPRA Paper 54691, University Library of Munich, Germany.
    4. Asensio, J., 2000. "The success story of Spanish suburban railways: determinants of demand and policy implications," Transport Policy, Elsevier, vol. 7(4), pages 295-302, October.
    5. Devajyoti Deka & Thomas Marchwinski, 2014. "The revenue and environmental benefits of new off-peak commuter rail service: the case of the Pascack Valley line in New Jersey," Transportation, Springer, vol. 41(1), pages 157-172, January.
    6. Joseph DeSalvo & Sisinnio Concas, 2013. "The Effect of Density and Trip-Chaining on the Interaction between Urban Form and Transit Demand," Working Papers 0413, University of South Florida, Department of Economics.
    7. Nicolas Gendron-Carrier & Marco Gonzalez-Navarro & Stefano Polloni & Matthew A. Turner, 2018. "Subways and Urban Air Pollution," NBER Working Papers 24183, National Bureau of Economic Research, Inc.
    8. Baum-Snow, Nathaniel & Kahn, Matthew E., 2000. "The effects of new public projects to expand urban rail transit," Journal of Public Economics, Elsevier, vol. 77(2), pages 241-263, August.
    9. Wijeweera, Albert & Charles, Michael B., 2013. "Determinants Of Passenger Rail Demand In Perth, Australia: A Time Series Analysis," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(2), pages 217-230.
    10. Sharaby, Nir & Shiftan, Yoram, 2012. "The impact of fare integration on travel behavior and transit ridership," Transport Policy, Elsevier, vol. 21(C), pages 63-70.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:juecon:v:41:y:1997:i:2:p:176-197. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/inca/622905 .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.