IDEAS home Printed from https://ideas.repec.org/p/cyc/wpaper/011.html

Mode Choice and the Effects of Rapid Transit Improvements on Private Vehicle Use and Urban Development

Author

Listed:
  • Ryan Greenaway-McGrevy
  • James Allan Jones

Abstract

Why do improvements in public transit sometimes result in an increase in private vehicle use, and sometimes result in a decrease? To better understand the underlying mechanisms, we study the impact of improvements in rapid transit (RT) within a monocentric model of the city that features congestion in commuting modes. Commuters choose between two different modes: public RT or private vehicles. While RT improvements increase city size, population, and aggregate land values, their effect on private vehicle use is ambiguous and depends on the extent of road congestion. Vehicle kilometres travelled (VKT) can increase after an RT improvement when the private road network is sufficiently congested. Policies to reduce road use in congested cities by improving RT should therefore be paired with additional disincentives to the use of private transportation.

Suggested Citation

  • Ryan Greenaway-McGrevy & James Allan Jones, 2022. "Mode Choice and the Effects of Rapid Transit Improvements on Private Vehicle Use and Urban Development," Working Papers 011, University of Auckland, Economic Policy Center (EPC).
  • Handle: RePEc:cyc:wpaper:011
    as

    Download full text from publisher

    File URL: https://www.auckland.ac.nz/assets/business/about/our-research/research-institutes-and-centres/Economic-Policy-Centre--EPC-/011WP.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Arnott, Richard, 2007. "Congestion tolling with agglomeration externalities," Journal of Urban Economics, Elsevier, vol. 62(2), pages 187-203, September.
    2. Mark Wardman & Gerard Whelan, 2011. "Twenty Years of Rail Crowding Valuation Studies: Evidence and Lessons from British Experience," Transport Reviews, Taylor & Francis Journals, vol. 31(3), pages 379-398.
    3. Nicolas Gendron-Carrier & Marco Gonzalez-Navarro & Stefano Polloni & Matthew A. Turner, 2022. "Subways and Urban Air Pollution," American Economic Journal: Applied Economics, American Economic Association, vol. 14(1), pages 164-196, January.
    4. Haywood, Luke & Koning, Martin, 2015. "The distribution of crowding costs in public transport: New evidence from Paris," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 182-201.
    Full references (including those not matched with items on IDEAS)

    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. repec:hal:journl:hal-03403442 is not listed on IDEAS
    2. Hörcher, Daniel & De Borger, Bruno & Seifu, Woubit & Graham, Daniel J., 2020. "Public transport provision under agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    3. Bouscasse, Hélène & de Lapparent, Matthieu, 2019. "Perceived comfort and values of travel time savings in the Rhône-Alpes Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 370-387.
    4. Lin, Joanne Yuh-Jye & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak & Chen, Cynthia, 2023. "The equity of public transport crowding exposure," Journal of Transport Geography, Elsevier, vol. 110(C).
    5. Batarce, Marco & Muñoz, Juan Carlos & Ortúzar, Juan de Dios, 2016. "Valuing crowding in public transport: Implications for cost-benefit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 358-378.
    6. Matthieu Lapparent & Martin Koning, 2016. "Analyzing time sensitivity to discomfort in the Paris subway: an interval data model approach," Transportation, Springer, vol. 43(5), pages 913-933, September.
    7. Li, Hao & Gao, Kun & Tu, Huizhao, 2017. "Variations in mode-specific valuations of travel time reliability and in-vehicle crowding: Implications for demand estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 250-263.
    8. Guo, Ren-Yong & Szeto, W.Y. & Long, Jiancheng, 2020. "Trial-and-error operation schemes for bimodal transport systems," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 106-123.
    9. Björklund, Gunilla & Swärdh, Jan-Erik, 2017. "Estimating policy values for in-vehicle comfort and crowding reduction in local public transport☆," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 453-472.
    10. Paudel, Jayash, 2021. "Bus ridership and service reliability: The case of public transportation in Western Massachusetts," Transport Policy, Elsevier, vol. 100(C), pages 98-107.
    11. Yang, Hai & Tang, Yili, 2018. "Managing rail transit peak-hour congestion with a fare-reward scheme," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 122-136.
    12. Junya Kumagai & Mihoko Wakamatsu & Shunsuke Managi, 2021. "Do commuters adapt to in-vehicle crowding on trains?," Transportation, Springer, vol. 48(5), pages 2357-2399, October.
    13. Tirachini, Alejandro & Hurtubia, Ricardo & Dekker, Thijs & Daziano, Ricardo A., 2017. "Estimation of crowding discomfort in public transport: Results from Santiago de Chile," Transportation Research Part A: Policy and Practice, Elsevier, vol. 103(C), pages 311-326.
    14. Márquez, Luis & Alfonso A, Julieth V. & Poveda, Juan C., 2019. "In-vehicle crowding: Integrating tangible attributes, attitudes, and perceptions in a choice context between BRT and metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 452-465.
    15. Haywood, Luke & Koning, Martin, 2015. "The distribution of crowding costs in public transport: New evidence from Paris," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 182-201.
    16. Björklund, Gunilla & Swärdh, Jan-Erik, 2015. "Valuing in-vehicle comfort and crowding reduction in public transport," Working papers in Transport Economics 2015:12, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    17. Tang, Yili & Jiang, Yu & Yang, Hai & Nielsen, Otto Anker, 2020. "Modeling and optimizing a fare incentive strategy to manage queuing and crowding in mass transit systems," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 247-267.
    18. Svanberg , Lisa & Pyddoke, Roger, 2020. "Policies for on-board crowding in public transportation : a literature review," Working Papers 2020:6, Swedish National Road & Transport Research Institute (VTI).
    19. Haywood, Luke & Koning, Martin & Prud'homme, Remy, 2018. "The economic cost of subway congestion: Estimates from Paris," Economics of Transportation, Elsevier, vol. 14(C), pages 1-8.
    20. Haywood, Luke & Koning, Martin & Monchambert, Guillaume, 2017. "Crowding in public transport: Who cares and why?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 215-227.
    21. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:cyc:wpaper:011. 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: Alexandre Dmitriev (email available below). General contact details of provider: https://edirc.repec.org/data/bsaucnz.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.