IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt55z3t7fh.html
   My bibliography  Save this paper

Deep Discount Group Pass Programs as Instruments for Increasing Transit Revenue and Ridership

Author

Listed:
  • Nuworsoo, Cornelius Kofi

Abstract

Transit properties in the USA have historically experienced loss of market share and low levels of farebox recovery. They resorted to service expansion to maximize subsidies. Experience suggests that: (a) fare increases have not had the desired effect; (b) fare reductions can boost ridership but can also reduce revenue and increase subsidies. The challenge lies with the adoption of such strategies as deep discount group pass programs that can produce more marginal revenue than cost. Deep discount transit pass programs provide groups of people with unlimited-ride transit passes in exchange for a contractual payment for or on behalf of pass users by an employer or other organizing body. Although successes of deep discount group pass programs are documented, there is substantial skepticism toward their wide-scale deployment because transit management perceives them as "special treatments" or "favors" to participants. Management fears such perception could raise questions about equity because they fail to see the fundamental difference in the fare structure of the "group pass" from individual ticket purchases. Group passes operate in a manner analogous to insurance programs. The deep discount program cases studied consistently revealed either higher revenues per boarding than the system-wide average or higher total revenues from target markets with the program than without it. Employment-based programs yielded the highest net revenues to operators. Although agencies recognize the factors for price determination, research reveals that no systematic methodology exists and pass prices are largely determined by watching what others have done. This dissertation has developed a methodology to aid operators in determining deeply discounted but favorable pass prices. The methodology considers: revenue lost from existing riders at prevailing fares; level of patronage in the primary location of transit use; any additional costs necessitated by the program; attractiveness of program terms to participants; and a policy goal of increasing operating revenue. The methodology permits the investigation of alternative objective functions and thus can serve as a common tool for transit agencies, employers and other constituents who may choose to maximize or minimize either the price of the pass or the number of participants subject to sets of constraints.

Suggested Citation

  • Nuworsoo, Cornelius Kofi, 2004. "Deep Discount Group Pass Programs as Instruments for Increasing Transit Revenue and Ridership," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt55z3t7fh, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt55z3t7fh
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/55z3t7fh.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cervero, Robert, 1994. "Transit-based housing in California: evidence on ridership impacts," Transport Policy, Elsevier, vol. 1(3), pages 174-183, June.
    2. Baumol, William J & Bradford, David F, 1970. "Optimal Departures from Marginal Cost Pricing," American Economic Review, American Economic Association, vol. 60(3), pages 265-283, June.
    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. Khatun, Farzana & Saphores, Jean-Daniel, 2023. "Covid-19, intentions to change modes, and how they materialized - Results from a random survey of Californians," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    2. Henao, Alejandro & Piatkowski, Daniel & Luckey, Kara S. & Nordback, Krista & Marshall, Wesley E. & Krizek, Kevin J., 2015. "Sustainable transportation infrastructure investments and mode share changes: A 20-year background of Boulder, Colorado," Transport Policy, Elsevier, vol. 37(C), pages 64-71.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nuworsoo, Cornelius Kofi, 2004. "Deep Discount Group Pass Programs as Instruments for Increasing Transit Revenue and Ridership," University of California Transportation Center, Working Papers qt7463z622, University of California Transportation Center.
    2. David P. Brown & David E. M. Sappington, 2017. "Optimal policies to promote efficient distributed generation of electricity," Journal of Regulatory Economics, Springer, vol. 52(2), pages 159-188, October.
    3. Schmalensee, Richard, 1981. "Output and Welfare Implications of Monopolistic Third-Degree Price Discrimination," American Economic Review, American Economic Association, vol. 71(1), pages 242-247, March.
    4. Marlon G. Boarnet & Sharon Sarmiento, 1998. "Can Land-use Policy Really Affect Travel Behaviour? A Study of the Link between Non-work Travel and Land-use Characteristics," Urban Studies, Urban Studies Journal Limited, vol. 35(7), pages 1155-1169, June.
    5. repec:ebl:ecbull:v:12:y:2005:i:8:p:1-4 is not listed on IDEAS
    6. Cesi Berardino & Iozzi Alberto & Valentini Edilio, 2012. "Regulating Unverifiable Quality by Fixed-Price Contracts," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-39, September.
    7. David J. Salant & Glenn A. Woroch, 1991. "Crossing Dupuit'S Bridge Again: A Trigger Policy For Efficient Investment In Infrastructure," Contemporary Economic Policy, Western Economic Association International, vol. 9(1), pages 101-114, January.
    8. Alessandro Avenali & Tiziana D’Alfonso & Pierfrancesco Reverberi, 2022. "Optimal pricing and investment for resources with alternative uses and capacity limits," Journal of Regulatory Economics, Springer, vol. 61(3), pages 222-229, June.
    9. Banzhaf, H. Spencer & Chupp, B. Andrew, 2012. "Fiscal federalism and interjurisdictional externalities: New results and an application to US Air pollution," Journal of Public Economics, Elsevier, vol. 96(5), pages 449-464.
    10. Thijs ten Raa, 2009. "Monopoly, Pareto and Ramsey Mark-ups," Journal of Industry, Competition and Trade, Springer, vol. 9(1), pages 57-63, March.
    11. Kopsakangas-Savolainen, Maria, 2004. "The welfare effects of different pricing schemes for electricity distribution in Finland," Energy Policy, Elsevier, vol. 32(12), pages 1429-1435, August.
    12. SaÄŸlam, YiÄŸit, 2011. "Optimal Pricing of Water: Optimal Departures from the Inverse Elasticity Rule," Working Paper Series 1533, Victoria University of Wellington, School of Economics and Finance.
    13. Stephen J. Bailey, 1994. "User-charges for Urban Services," Urban Studies, Urban Studies Journal Limited, vol. 31(4-5), pages 745-765, May.
    14. José Holguín-Veras & Sergio Jara-Díaz, 2010. "Optimal Two-Part Pricing and Capacity Allocation with Multiple User Classes and Elastic Arrivals at Constrained Transportation Facilities," Networks and Spatial Economics, Springer, vol. 10(4), pages 427-454, December.
    15. repec:ebl:ecbull:v:12:y:2007:i:34:p:1-5 is not listed on IDEAS
    16. Joseph E. Stiglitz, 2015. "In Praise of Frank Ramsey's Contribution to the Theory of Taxation," Economic Journal, Royal Economic Society, vol. 0(583), pages 235-268, March.
    17. Richard E. Schuler, 1992. "Transportation and Telecommunications Networks: Planning Urban Infrastructure for the 21st Century," Urban Studies, Urban Studies Journal Limited, vol. 29(2), pages 297-310, April.
    18. Alberto Iozzi, 2001. "Strategic pricing and entry deterrence under price-cap regulation," Journal of Economics, Springer, vol. 74(3), pages 283-300, October.
    19. van Egteren, Henry, 1996. "Regulating an externality-generating public utility: A multi-dimensional screening approach," European Economic Review, Elsevier, vol. 40(9), pages 1773-1797, December.
    20. Schuck, Eric C. & Green, Gareth P., 2002. "Supply-based water pricing in a conjunctive use system: implications for resource and energy use," Resource and Energy Economics, Elsevier, vol. 24(3), pages 175-192, June.
    21. Andr'es Ram'irez-Hassan & Alejandro L'opez-Vera, 2021. "Semi-parametric estimation of the EASI model: Welfare implications of taxes identifying clusters due to unobserved preference heterogeneity," Papers 2109.07646, arXiv.org.
    22. Ingo Vogelsang, 2003. "Price Regulation of Access to Telecommunications Networks," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 830-862, September.

    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:cdl:itsrrp:qt55z3t7fh. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.