IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v90y2021ics0739885920300615.html
   My bibliography  Save this article

Technologies for congestion pricing

Author

Listed:
  • Clements, Lewis M.
  • Kockelman, Kara M.
  • Alexander, William

Abstract

Congestion pricing of high-demand roadways seeks to influence travelers’ route choices, trip timing, modes, and destination choices, to keep vehicles moving and avoid excessive congestion. This paper describes the use of various technologies to enable more advanced and cost-effective congestion pricing applications, and a credit-based policy to ensure equitable network access for all travelers.

Suggested Citation

  • Clements, Lewis M. & Kockelman, Kara M. & Alexander, William, 2021. "Technologies for congestion pricing," Research in Transportation Economics, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:retrec:v:90:y:2021:i:c:s0739885920300615
    DOI: 10.1016/j.retrec.2020.100863
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885920300615
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.retrec.2020.100863?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Podgorski, Kaethe V. & Kockelman, Kara M., 2006. "Public perceptions of toll roads: A survey of the Texas perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(10), pages 888-902, December.
    2. Nakamura, Katsuhiko & Kockelman, Kara Maria, 2002. "Congestion pricing and roadspace rationing: an application to the San Francisco Bay Bridge corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(5), pages 403-417, June.
    3. Kockelman, Kara M. & Kalmanje, Sukumar, 2005. "Credit-based congestion pricing: a policy proposal and the public's response," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 671-690.
    4. Nie, Yu (Marco) & Liu, Yang, 2010. "Existence of self-financing and Pareto-improving congestion pricing: Impact of value of time distribution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 39-51, January.
    5. Dahlgren, Joy, 2002. "High-occupancy/toll lanes: where should they be implemented?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(3), pages 239-255, March.
    6. Gulipalli, Pradeep K. & Kalmanje, Sukumar & Kockelman, Kara M., 2008. "Credit-Based Congestion Pricing: Expert Expectations and Guidelines for Application," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 47(2).
    7. Edoardo Croci & Aldo Ravazzi Douvan, 2016. "Urban Road Pricing: A Comparative Study on the Experiences of London, Stockholm and Milan," IEFE Working Papers 85, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    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. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2025. "Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems," Journal of Intelligent Manufacturing, Springer, vol. 36(1), pages 61-93, January.
    2. Chowdhury, Tufayel & Vaughan, James & Roorda, Matthew J., 2024. "Modeling impacts of freight automated vehicles in the Greater Toronto and Hamilton Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).

    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. Yang, Hai & Wang, Xiaolei, 2011. "Managing network mobility with tradable credits," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 580-594, March.
    2. Fan, Wenbo & Jiang, Xinguo & Erdogan, Sevgi & Sun, Yanshuo, 2016. "Modeling and evaluating FAIR highway performance and policy options," Transport Policy, Elsevier, vol. 48(C), pages 156-168.
    3. Basso, Leonardo J. & Jara-Díaz, Sergio R., 2012. "Integrating congestion pricing, transit subsidies and mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(6), pages 890-900.
    4. Yang Liu & Yu (Marco) Nie, 2017. "A Credit-Based Congestion Management Scheme in General Two-Mode Networks with Multiclass Users," Networks and Spatial Economics, Springer, vol. 17(3), pages 681-711, September.
    5. Liu, Yang & Nie, Yu (Marco), 2011. "Morning commute problem considering route choice, user heterogeneity and alternative system optima," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 619-642.
    6. Guohui Zhang & Zhong Wang & Khali Persad & C. Walton, 2014. "Enhanced traffic information dissemination to facilitate toll road utilization: a nested logit model of a stated preference survey in Texas," Transportation, Springer, vol. 41(2), pages 231-249, March.
    7. Finkleman, Jeremy & Casello, Jeffrey & Fu, Liping, 2011. "Empirical evidence from the Greater Toronto Area on the acceptability and impacts of HOT lanes," Transport Policy, Elsevier, vol. 18(6), pages 814-824, November.
    8. Charles Raux, 2009. "Umweltzertifikate im Verkehrsbereich," Post-Print halshs-01735915, HAL.
    9. Nie, Yu (Marco) & Yin, Yafeng, 2013. "Managing rush hour travel choices with tradable credit scheme," Transportation Research Part B: Methodological, Elsevier, vol. 50(C), pages 1-19.
    10. Kockelman, Kara M. & Lemp, Jason D., 2011. "Anticipating new-highway impacts: Opportunities for welfare analysis and credit-based congestion pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 825-838, October.
    11. Yu Ding & Huapu Lu & Lei Zhang, 2016. "An analysis of activity time use on vehicle usage rationed days," Transportation, Springer, vol. 43(1), pages 145-158, January.
    12. de Palma, André & Lindsey, Robin, 2020. "Tradable permit schemes for congestible facilities with uncertain supply and demand," Economics of Transportation, Elsevier, vol. 21(C).
    13. Yu Ding & Huapu Lu & Lei Zhang, 2016. "An analysis of activity time use on vehicle usage rationed days," Transportation, Springer, vol. 43(1), pages 145-158, January.
    14. Hensher, David A. & Bliemer, Michiel C.J., 2014. "What type of road pricing scheme might appeal to politicians? Viewpoints on the challenge in gaining the citizen and public servant vote by staging reform," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 227-237.
    15. Tian, Li-Jun & Yang, Hai & Huang, Hai-Jun, 2013. "Tradable credit schemes for managing bottleneck congestion and modal split with heterogeneous users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 54(C), pages 1-13.
    16. Nie, Yu (Marco) & Liu, Yang, 2010. "Existence of self-financing and Pareto-improving congestion pricing: Impact of value of time distribution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(1), pages 39-51, January.
    17. Guo, Xiaolei & Yang, Hai, 2010. "Pareto-improving congestion pricing and revenue refunding with multiple user classes," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 972-982, September.
    18. Andrea Baranzini & Stefano Carattini & Linda Tesauro, 2021. "Designing Effective and Acceptable Road Pricing Schemes: Evidence from the Geneva Congestion Charge," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(3), pages 417-482, July.
    19. Hossan, Md Sakoat & Asgari, Hamidreza & Jin, Xia, 2016. "Investigating preference heterogeneity in Value of Time (VOT) and Value of Reliability (VOR) estimation for managed lanes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 638-649.
    20. Dogterom, Nico & Ettema, Dick & Dijst, Martin, 2018. "Behavioural effects of a tradable driving credit scheme: Results of an online stated adaptation experiment in the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 52-64.

    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:retrec:v:90:y:2021:i:c:s0739885920300615. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    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.