IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v59y2014icp357-383.html
   My bibliography  Save this article

Dynamic simulation modeling and policy analysis of an area-based congestion pricing scheme for a transportation socioeconomic system

Author

Listed:
  • Sabounchi, Nasim S.
  • Triantis, Konstantinos P.
  • Sarangi, Sudipta
  • Liu, Shiyong

Abstract

This paper evaluates the impact of an area-based congestion pricing scheme in terms of its effectiveness on mitigating traffic congestion by using a system dynamics model. Unknown parameter values are calibrated using data available from the area-based pricing scheme implemented in the London metropolitan area. The key features of our model are that individual behavior is affected by the level of congestion, the cost of driving, and the supply/capacity and demand associated with metro transit. Perceptions of users are captured by three separate linguistic variables and fuzzy set theory is used to evaluate the combined effects of individual perceptions on the travel mode selection and the switching behavior between travel modes. As part of our analysis we explore three premises, i.e., that revenues generated from a congestion pricing scheme can substantially improve alternative transportation modes, that the improvement of these modes can have a positive effect on the mitigation of traffic congestion, and that a congestion pricing scheme cannot effectively resolve congestion problems in short term due to the existence of material and information delays. We assess various policies and determine appropriate values for critical parameters to find the best results in terms of implementing the area-based pricing scheme.

Suggested Citation

  • Sabounchi, Nasim S. & Triantis, Konstantinos P. & Sarangi, Sudipta & Liu, Shiyong, 2014. "Dynamic simulation modeling and policy analysis of an area-based congestion pricing scheme for a transportation socioeconomic system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 357-383.
    • Handle: RePEc:eee:transa:v:59:y:2014:i:c:p:357-383
    DOI: 10.1016/j.tra.2013.11.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856413002334
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2013.11.007?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. Pitu Mirchandani & Hossein Soroush, 1987. "Generalized Traffic Equilibrium with Probabilistic Travel Times and Perceptions," Transportation Science, INFORMS, vol. 21(3), pages 133-152, August.
    2. Eliasson, Jonas, 2009. "A cost-benefit analysis of the Stockholm congestion charging system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(4), pages 468-480, May.
    3. Dušan Teodorović & Konstantinos Triantis & Praveen Edara & Yueqin Zhao & Snežana Mladenović, 2008. "Auction-Based Congestion Pricing," Transportation Planning and Technology, Taylor & Francis Journals, vol. 31(4), pages 399-416, March.
    4. Ieromonachou, P. & Potter, S. & Warren, J.P., 2006. "Norway's urban toll rings: Evolving towards congestion charging?," Transport Policy, Elsevier, vol. 13(5), pages 367-378, September.
    5. David N. Cottingham & Alastair R. Beresford & Robert K. Harle, 2007. "Survey of Technologies for the Implementation of National‐scale Road User Charging," Transport Reviews, Taylor & Francis Journals, vol. 27(4), pages 499-523, January.
    6. Maruyama, Takuya & Sumalee, Agachai, 2007. "Efficiency and equity comparison of cordon- and area-based road pricing schemes using a trip-chain equilibrium model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(7), pages 655-671, August.
    7. Teodorovic, Dus[caron]an, 1999. "Fuzzy logic systems for transportation engineering: the state of the art," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(5), pages 337-364, June.
    8. Doina Olaru & Brett Smith, 2005. "Modelling behavioural rules for daily activity scheduling using fuzzy logic," Transportation, Springer, vol. 32(4), pages 423-441, July.
    9. Jonathan Leape, 2006. "The London Congestion Charge," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 157-176, Fall.
    10. Eliasson, Jonas & Hultkrantz, Lars & Nerhagen, Lena & Rosqvist, Lena Smidfelt, 2009. "The Stockholm congestion - charging trial 2006: Overview of effects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(3), pages 240-250, March.
    11. Hyman, Geoffrey & Mayhew, Les, 2002. "Optimizing the benefits of urban road user charging," Transport Policy, Elsevier, vol. 9(3), pages 189-207, July.
    12. Golob, Thomas F., 2001. "Joint models of attitudes and behavior in evaluation of the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 495-514, July.
    13. Liu, Shiyong & Triantis, Konstantinos P. & Sarangi, Sudipta, 2010. "A framework for evaluating the dynamic impacts of a congestion pricing policy for a transportation socioeconomic system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(8), pages 596-608, October.
    14. 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.
    15. May, A. D. & Milne, D. S., 2000. "Effects of alternative road pricing systems on network performance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(6), pages 407-436, August.
    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. Xu, Yuanxian & Dong, Jianjun & Ren, Rui & Yang, Kai & Chen, Zhilong, 2022. "The impact of metro-based underground logistics system on city logistics performance under COVID-19 epidemic: A case study of Wuhan, China," Transport Policy, Elsevier, vol. 116(C), pages 81-95.
    2. Menezes, Esther & Maia, Alexandre Gori & de Carvalho, Cristiane Silva, 2017. "Effectiveness of low-carbon development strategies: Evaluation of policy scenarios for the urban transport sector in a Brazilian megacity," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 226-241.
    3. Beheshtian, Arash & Richard Geddes, R. & Rouhani, Omid M. & Kockelman, Kara M. & Ockenfels, Axel & Cramton, Peter & Do, Wooseok, 2020. "Bringing the efficiency of electricity market mechanisms to multimodal mobility across congested transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 131(C), pages 58-69.
    4. Taolei Guo & Junjie Chen & Pei Liu, 2022. "Impact of Emerging Transport Technologies on Freight Economic and Environmental Performance: A System Dynamics View," IJERPH, MDPI, vol. 19(22), pages 1-17, November.
    5. Fontoura, Wlisses Bonelá & Chaves, Gisele de Lorena Diniz & Ribeiro, Glaydston Mattos, 2019. "The Brazilian urban mobility policy: The impact in São Paulo transport system using system dynamics," Transport Policy, Elsevier, vol. 73(C), pages 51-61.
    6. Fafoutellis, Panagiotis & Mantouka, Eleni G. & Vlahogianni, Eleni I., 2022. "Acceptance of a Pay-How-You-Drive pricing scheme for city traffic: The case of Athens," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 270-284.
    7. Jia Shi & Xuesong Guo & Xiangnan Hu, 2019. "Engaging Stakeholders in Urban Traffic Restriction Policy Assessment Using System Dynamics: The Case Study of Xi’an City, China," Sustainability, MDPI, vol. 11(14), pages 1-16, July.

    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. M. Rouhani, Omid, 2014. "Road pricing: An overview," MPRA Paper 59662, University Library of Munich, Germany.
    2. André de Palma & Robin Lindsey, 2009. "Traffic Congestion Pricing Methods and Technologies," Working Papers hal-00414526, HAL.
    3. Omid M. Rouhani, 2016. "Next Generations of Road Pricing: Social Welfare Enhancing," Sustainability, MDPI, vol. 8(3), pages 1-15, March.
    4. 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.
    5. Vonk Noordegraaf, Diana & Annema, Jan Anne & van Wee, Bert, 2014. "Policy implementation lessons from six road pricing cases," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 172-191.
    6. 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.
    7. Eliasson, Jonas, 2017. "Congestion pricing," MPRA Paper 88224, University Library of Munich, Germany.
    8. Mougeot Michel & Schwartz Sonia, 2018. "A Discriminatory Mechanism to Reduce Urban Congestion," German Economic Review, De Gruyter, vol. 19(2), pages 190-208, May.
    9. Kristoffersson, Ida, 2013. "Impacts of time-varying cordon pricing: Validation and application of mesoscopic model for Stockholm," Transport Policy, Elsevier, vol. 28(C), pages 51-60.
    10. Boggio, Margherita & Beria, Paolo, 2019. "The role of transport supply in the acceptability of pollution charge extension. The case of Milan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 92-106.
    11. Velaga, Nagendra R. & Pangbourne, Kate, 2014. "Achieving genuinely dynamic road user charging: issues with a GNSS-based approach," Journal of Transport Geography, Elsevier, vol. 34(C), pages 243-253.
    12. Meng, Qiang & Liu, Zhiyuan & Wang, Shuaian, 2012. "Optimal distance tolls under congestion pricing and continuously distributed value of time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 937-957.
    13. Zheng, Zuduo & Liu, Zhiyuan & Liu, Chuanli & Shiwakoti, Nirajan, 2014. "Understanding public response to a congestion charge: A random-effects ordered logit approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 117-134.
    14. Eliasson, Jonas & Börjesson, Maria & van Amelsfort, Dirk & Brundell-Freij, Karin & Engelson, Leonid, 2013. "Accuracy of congestion pricing forecasts," Transportation Research Part A: Policy and Practice, Elsevier, vol. 52(C), pages 34-46.
    15. Hoffman, Karla & Berardino, Frank & Hunter, George, 2013. "Congestion pricing applications to manage high temporal demand for public services and their relevance to air space management," Transport Policy, Elsevier, vol. 28(C), pages 28-41.
    16. Börjesson, Maria & Kristoffersson, Ida, 2014. "Assessing the welfare effects of congestion charges in a real world setting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 339-355.
    17. Börjesson, Maria & Kristoffersson, Ida, 2018. "The Swedish congestion charges: Ten years on," Transportation Research Part A: Policy and Practice, Elsevier, vol. 107(C), pages 35-51.
    18. Kristoffersson, Ida & Engelson, Leonid & Börjesson, Maria, 2017. "Efficiency vs equity: Conflicting objectives of congestion charges," Transport Policy, Elsevier, vol. 60(C), pages 99-107.
    19. Prateek Bansal & Rohan Shah & Stephen D. Boyles, 2018. "Robust network pricing and system optimization under combined long-term stochasticity and elasticity of travel demand," Transportation, Springer, vol. 45(5), pages 1389-1418, September.
    20. Marco Percoco, 2015. "Heterogeneity in the reaction of traffic flows to road pricing: a synthetic control approach applied to Milan," Transportation, Springer, vol. 42(6), pages 1063-1079, November.

    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:transa:v:59:y:2014:i:c:p:357-383. 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/547/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.