IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt71j7z3wv.html
   My bibliography  Save this paper

Synergies of Combining Demand- and Supply-Side Measures to Manage Congested Streets

Author

Listed:
  • Itani, Ibrahim MS
  • Cassidy, Michael J. PhD
  • Daganzo, Carlos F. PhD

Abstract

An agent-based, multichannel simulation of a downtown area reveals the impacts of both redistributing traffic demand with time-dependent congestion pricing, and supplying extra capacity by banning left turns. The downtown street network was idealized, and loosely resembles central Los Angeles. On the demand-side, prices were set based on time-ofday and distance traveled. On the supply side, left-turn maneuvers were prohibited at all intersections on the network. Although both traffic management measures reduced travel costs when used alone, the left-turn ban was much less effective than pricing. When combined with pricing under congested conditions, however, the left-turn ban’s effectiveness increased considerably—it more than doubled in some cases. Furthermore, the two measures combined reduced travel costs in synergistic fashion. In some cases, this synergistic effect was responsible for 30% of the cost reduction. This strong synergy suggests that turning bans should be considered as an added option when contemplating congestion pricing.

Suggested Citation

  • Itani, Ibrahim MS & Cassidy, Michael J. PhD & Daganzo, Carlos F. PhD, 2021. "Synergies of Combining Demand- and Supply-Side Measures to Manage Congested Streets," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt71j7z3wv, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt71j7z3wv
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/71j7z3wv.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nicholas E. Burger & Daniel T. Kaffine, 2009. "Gas Prices, Traffic, and Freeway Speeds in Los Angeles," The Review of Economics and Statistics, MIT Press, vol. 91(3), pages 652-657, August.
    2. Harsman, Bjorn & Quigley, John M., 2010. "Political and Public Acceptability of Congestion Pricing: Ideology and Self Interest," University of California Transportation Center, Working Papers qt14n0h1nv, University of California Transportation Center.
    3. Small, Kenneth A, 1982. "The Scheduling of Consumer Activities: Work Trips," American Economic Review, American Economic Association, vol. 72(3), pages 467-479, June.
    4. Björn Hårsman & John M. Quigley, 2010. "Political and public acceptability of congestion pricing: Ideology and self-interest," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 854-874.
    5. Harrington, Winston & Krupnick, Alan J. & Alberini, Anna, 2001. "Overcoming public aversion to congestion pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(2), pages 87-105, February.
    6. Han, Deren & Yang, Hai & Wang, Xiaolei, 2010. "Efficiency of the plate-number-based traffic rationing in general networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 1095-1110, November.
    7. Jordi Casas & Jaime L. Ferrer & David Garcia & Josep Perarnau & Alex Torday, 2010. "Traffic Simulation with Aimsun," International Series in Operations Research & Management Science, in: Jaume Barceló (ed.), Fundamentals of Traffic Simulation, chapter 0, pages 173-232, Springer.
    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. Itani, Ibrahim & Cassidy, Michael J. & Daganzo, Carlos, 2021. "Synergies of combining demand- and supply-side measures to manage congested streets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 172-179.
    2. Jens West & Maria Börjesson, 2020. "The Gothenburg congestion charges: cost–benefit analysis and distribution effects," Transportation, Springer, vol. 47(1), pages 145-174, February.
    3. Hensher, David A. & Li, Zheng, 2013. "Referendum voting in road pricing reform: A review of the evidence," Transport Policy, Elsevier, vol. 25(C), pages 186-197.
    4. Yacan Wang & Yu Wang & Luyao Xie & Huiyu Zhou, 2018. "Impact of Perceived Uncertainty on Public Acceptability of Congestion Charging: An Empirical Study in China," Sustainability, MDPI, vol. 11(1), pages 1-21, December.
    5. Xin Li & John W. Shaw & Daizong Liu & Yun Yuan, 2019. "Acceptability of Beijing congestion charging from a business perspective," Transportation, Springer, vol. 46(3), pages 753-776, June.
    6. Raphaël Lamotte & André de Palma & Nikolas Geroliminis, 2016. "Sharing the road: the economics of autonomous vehicles," Working Papers hal-01281425, HAL.
    7. Emma Ejelöv & Andreas Nilsson, 2020. "Individual Factors Influencing Acceptability for Environmental Policies: A Review and Research Agenda," Sustainability, MDPI, vol. 12(6), pages 1-14, March.
    8. Holguín-Veras, José & Encarnación, Trilce & González-Calderón, Carlos A., 2020. "User perception of fairness of time-of-day pricing and other typical toll discounts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 560-581.
    9. Eliasson, Jonas & Jonsson, Lina, 2011. "The unexpected "yes": Explanatory factors behind the positive attitudes to congestion charges in Stockholm," Transport Policy, Elsevier, vol. 18(4), pages 636-647, August.
    10. Matthew J. Holian & Matthew E. Kahn, 2014. "Household Demand for Low Carbon Public Policies: Evidence from California," NBER Working Papers 19965, National Bureau of Economic Research, Inc.
    11. Eliasson, Jonas, 2016. "Is congestion pricing fair? Consumer and citizen perspectives on equity effects," Transport Policy, Elsevier, vol. 52(C), pages 1-15.
    12. Andreas Koulouris & Ioannis Katerelos & Theodore Tsekeris, 2013. "Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(1), pages 51-70.
    13. Button, Kenneth, 2020. "The Transition From Pigou’S Ideas On Road Pricing To Their Application," Journal of the History of Economic Thought, Cambridge University Press, vol. 42(3), pages 417-438, September.
    14. Christian Oltra & Roser Sala & Sergi López-Asensio & Silvia Germán & Àlex Boso, 2021. "Individual-Level Determinants of the Public Acceptance of Policy Measures to Improve Urban Air Quality: The Case of the Barcelona Low Emission Zone," Sustainability, MDPI, vol. 13(3), pages 1-13, January.
    15. Kim, Junghwa & Schmöcker, Jan-Dirk & Fujii, Satoshi & Noland, Robert B., 2013. "Attitudes towards road pricing and environmental taxation among US and UK students," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 50-62.
    16. Eliasson, Jonas, 2017. "Congestion pricing," MPRA Paper 88224, University Library of Munich, Germany.
    17. Theisen, Theis, 2020. "The impact of an urban toll ring on housing prices," Research in Transportation Economics, Elsevier, vol. 82(C).
    18. Green, Colin P. & Heywood, John S. & Navarro, María, 2016. "Traffic accidents and the London congestion charge," Journal of Public Economics, Elsevier, vol. 133(C), pages 11-22.
    19. Romero, Fernando & Gomez, Juan & Paez, Antonio & Vassallo, José Manuel, 2020. "Toll roads vs. Public transportation: A study on the acceptance of congestion-calming measures in Madrid," Transportation Research Part A: Policy and Practice, Elsevier, vol. 142(C), pages 319-342.
    20. Gabriel M. Ahlfeldt & Wolfgang Maennig & Malte Steenbeck, 2020. "Direct democracy and intergenerational conflicts in ageing societies," Journal of Regional Science, Wiley Blackwell, vol. 60(1), pages 129-155, January.

    More about this item

    Keywords

    Engineering; Traffic congestion; congestion pricing; demand; left turns; travel costs; traffic management; traffic simulation;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:qt71j7z3wv. 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.