IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt80g5s1km.html
   My bibliography  Save this paper

An Evaluation Taxonomy For Congestion Pricing

Author

Listed:
  • Lo, H.
  • Hickman, M.
  • Walstad, M.

Abstract

In this paper, the authors formulate an evaluation taxonomy to identify a broad range of factors that would be important for a comprehensive assessment of congestion pricing. The evaluation taxonomy consists of three dimensions: road pricing strategies, impacted groups and impacts. The paper also includes a literature review of previous research in road pricing, especially regarding modeling tools and methods for conducting evaluation.

Suggested Citation

  • Lo, H. & Hickman, M. & Walstad, M., 1996. "An Evaluation Taxonomy For Congestion Pricing," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt80g5s1km, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt80g5s1km
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/80g5s1km.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saccomanno, F. F., 1984. "The transferability of logit-based share elasticities for evaluating congestion pricing," Transportation Research Part B: Methodological, Elsevier, vol. 18(4-5), pages 367-375.
    2. Cascetta, Ennio, 1989. "A stochastic process approach to the analysis of temporal dynamics in transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 23(1), pages 1-17, February.
    3. Small, Kenneth A., 1992. "Using the Revenues from Congestion Pricing," University of California Transportation Center, Working Papers qt32p9m3mm, University of California Transportation Center.
    4. Janson, Bruce N., 1991. "Dynamic traffic assignment for urban road networks," Transportation Research Part B: Methodological, Elsevier, vol. 25(2-3), pages 143-161.
    5. David Bernstein & Tony E. Smith, 1994. "Equilibria for Networks with Lower Semicontinuous Costs: With an Application to Congestion Pricing," Transportation Science, INFORMS, vol. 28(3), pages 221-235, August.
    6. Fielding, Gordon J. & Klein, Daniel B., 1993. "How To Franchise Highways," University of California Transportation Center, Working Papers qt79z9x6fs, University of California Transportation Center.
    7. Chang, Gang-Len & Mahmassani, Hani S., 1988. "Travel time prediction and departure time adjustment behavior dynamics in a congested traffic system," Transportation Research Part B: Methodological, Elsevier, vol. 22(3), pages 217-232, June.
    8. Yang, Hai & Huang, Hai-Jun, 1998. "Principle of marginal-cost pricing: how does it work in a general road network?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(1), pages 45-54, January.
    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. Levinson, David, 1997. "Case Study: Road Pricing In Practice," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0w06s4n2, Institute of Transportation Studies, UC Berkeley.
    2. David Levinson, 2009. "Equity Effects of Road Pricing: A Review," Transport Reviews, Taylor & Francis Journals, vol. 30(1), pages 33-57, July.
    3. David Levinson, 2001. "Road Pricing in Practice," Working Papers 199903, University of Minnesota: Nexus Research Group.

    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. Zhong, Shaopeng & Jiang, Yu & Nielsen, Otto Anker, 2022. "Lexicographic multi-objective road pricing optimization considering land use and transportation effects," European Journal of Operational Research, Elsevier, vol. 298(2), pages 496-509.
    2. He, Brian Yueshuai & Zhou, Jinkai & Ma, Ziyi & Wang, Ding & Sha, Di & Lee, Mina & Chow, Joseph Y.J. & Ozbay, Kaan, 2021. "A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City," Transport Policy, Elsevier, vol. 101(C), pages 145-161.
    3. David Watling & Giulio Cantarella, 2015. "Model Representation & Decision-Making in an Ever-Changing World: The Role of Stochastic Process Models of Transportation Systems," Networks and Spatial Economics, Springer, vol. 15(3), pages 843-882, September.
    4. G. E. Cantarella & D. P. Watling, 2016. "Modelling road traffic assignment as a day-to-day dynamic, deterministic process: a unified approach to discrete- and continuous-time models," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 69-98, March.
    5. Ian W. H. Parry & Margaret Walls & Winston Harrington, 2007. "Automobile Externalities and Policies," Journal of Economic Literature, American Economic Association, vol. 45(2), pages 373-399, June.
    6. C. Robin Lindsey & Erik T. Verhoef, 2000. "Traffic Congestion and Congestion Pricing," Tinbergen Institute Discussion Papers 00-101/3, Tinbergen Institute.
    7. Robert B. Dial, 1999. "Network-Optimized Road Pricing: Part I: A Parable and a Model," Operations Research, INFORMS, vol. 47(1), pages 54-64, February.
    8. Ho, H.W. & Wong, S.C. & Yang, Hai & Loo, Becky P.Y., 2005. "Cordon-based congestion pricing in a continuum traffic equilibrium system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 813-834.
    9. Chen, Ruoyun & Nozick, Linda, 2016. "Integrating congestion pricing and transit investment planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 89(C), pages 124-139.
    10. Richard H. M. Emmerink & Paul van Beek, 1997. "Empirical Analysis of Work Schedule Flexibility: Implications for Road Pricing and Driver Information Systems," Urban Studies, Urban Studies Journal Limited, vol. 34(2), pages 217-234, February.
    11. Tian, Ye & Chiu, Yi-Chang & Sun, Jian, 2019. "Understanding behavioral effects of tradable mobility credit scheme: An experimental economics approach," Transport Policy, Elsevier, vol. 81(C), pages 1-11.
    12. Safirova, Elena & Gillingham, Kenneth & Houde, Sébastien, 2007. "Measuring marginal congestion costs of urban transportation: Do networks matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(8), pages 734-749, October.
    13. B. G. Heydecker & J. D. Addison, 2005. "Analysis of Dynamic Traffic Equilibrium with Departure Time Choice," Transportation Science, INFORMS, vol. 39(1), pages 39-57, February.
    14. Wei, Chong & Asakura, Yasuo & Iryo, Takamasa, 2014. "Formulating the within-day dynamic stochastic traffic assignment problem from a Bayesian perspective," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 45-57.
    15. Kidokoro, Yukihiro, 2010. "Revenue recycling within transport networks," Journal of Urban Economics, Elsevier, vol. 68(1), pages 46-55, July.
    16. Julie Bulteau & Thierry Feuillet & Sophie Dantan & Souhir Abbes, 2023. "Encouraging carpooling for commuting in the Paris area (France): which incentives and for whom?," Transportation, Springer, vol. 50(1), pages 43-62, February.
    17. Jang, Wonjae & Ran, Bin & Choi, Keechoo, 2005. "A discrete time dynamic flow model and a formulation and solution method for dynamic route choice," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 593-620, August.
    18. Li, Anna C.Y. & Nozick, Linda & Xu, Ningxiong & Davidson, Rachel, 2012. "Shelter location and transportation planning under hurricane conditions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 715-729.
    19. Yang, Hai & Huang, Hai-Jun, 2004. "The multi-class, multi-criteria traffic network equilibrium and systems optimum problem," Transportation Research Part B: Methodological, Elsevier, vol. 38(1), pages 1-15, January.
    20. Xu, Xiangdong & Qu, Kai & Chen, Anthony & Yang, Chao, 2021. "A new day-to-day dynamic network vulnerability analysis approach with Weibit-based route adjustment process," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).

    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:qt80g5s1km. 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.