IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i3p2086-d1043849.html
   My bibliography  Save this article

Reducing Urban Traffic Congestion via Charging Price

Author

Listed:
  • Pablo González-Aliste

    (School of Architecture, Design and Digital Arts, University of Gabriela Mistral, Santiago 8320000, Chile)

  • Iván Derpich

    (Industrial Engineering Department, University of Santiago of Chile, Estación Central, Santiago 9170124, Chile)

  • Mario López

    (Industrial Engineering Department, University of Santiago of Chile, Estación Central, Santiago 9170124, Chile)

Abstract

Traffic jams are one of the major transportation problems. The United States spends USD billions to mitigate the problem, and not always with good outcomes. This problem increases and has effects on sustainable transport, such as life quality, pollution, perishables, and costs. Large cities reduce traffic jams through congestion charges. This paper aims to reduce urban traffic congestion by estimating the charge through a multivariable model. It studies the main jammed areas in Santiago, Chile. The data came from published surveys. The model evaluation included Fisher multiple regression (F) and the determination coefficient (R 2 ). These validations showed that the model is statistically significant. They also showed that the parameter estimation was good. Finally, this model contributes to improving the Sustainable Development Goals, such as SDG 3, SDG 11, and SDG 13, which may be successfully applied to Santiago City, as well as to any city worldwide.

Suggested Citation

  • Pablo González-Aliste & Iván Derpich & Mario López, 2023. "Reducing Urban Traffic Congestion via Charging Price," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2086-:d:1043849
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/3/2086/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/3/2086/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Coria, Jessica & Zhang, Xiao-Bing, 2017. "Optimal environmental road pricing and daily commuting patterns," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 297-314.
    2. Agarwal, Sumit & Koo, Kang Mo & Sing, Tien Foo, 2015. "Impact of electronic road pricing on real estate prices in Singapore," Journal of Urban Economics, Elsevier, vol. 90(C), pages 50-59.
    3. Cristina Pronello & Valentina Rappazzo, 2014. "Road pricing: How people perceive a hypothetical introduction. The case of Lyon," Post-Print halshs-01084028, HAL.
    4. William H. Sandholm, 2002. "Evolutionary Implementation and Congestion Pricing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(3), pages 667-689.
    5. Gibson, Matthew & Carnovale, Maria, 2015. "The effects of road pricing on driver behavior and air pollution," Journal of Urban Economics, Elsevier, vol. 89(C), pages 62-73.
    6. Dieplinger, Maria & Fürst, Elmar, 2014. "The acceptability of road pricing: Evidence from two studies in Vienna and four other European cities," Transport Policy, Elsevier, vol. 36(C), pages 10-18.
    7. Percoco, Marco, 2014. "The impact of road pricing on housing prices: Preliminary evidence from Milan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 188-194.
    8. T. L. Magnanti & R. T. Wong, 1984. "Network Design and Transportation Planning: Models and Algorithms," Transportation Science, INFORMS, vol. 18(1), pages 1-55, February.
    9. Iseki, Hiroyuki & Demisch, Alexander, 2012. "Examining the linkages between electronic roadway tolling technologies and road pricing policy objectives," Research in Transportation Economics, Elsevier, vol. 36(1), pages 121-132.
    10. Fageda, Xavier & Flores-Fillol, Ricardo & Theilen, Bernd, 2022. "Price versus quantity measures to deal with pollution and congestion in urban areas: A political economy approach," Journal of Environmental Economics and Management, Elsevier, vol. 115(C).
    11. Pronello, Cristina & Rappazzo, Valentina, 2014. "Road pricing: How people perceive a hypothetical introduction. The case of Lyon," Transport Policy, Elsevier, vol. 36(C), pages 192-205.
    12. 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.
    13. Visaria, Anant Atul & Jensen, Anders Fjendbo & Thorhauge, Mikkel & Mabit, Stefan Eriksen, 2022. "User preferences for EV charging, pricing schemes, and charging infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 120-143.
    14. Schubert, Daniel & Sys, Christa & Vanelslander, Thierry & Roumboutsos, Athena, 2022. "No-queue road pricing: A comprehensive policy instrument for Europe?," Utilities Policy, Elsevier, vol. 78(C).
    15. Francke, Angela & Kaniok, Denise, 2013. "Responses to differentiated road pricing schemes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 25-30.
    16. 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.
    17. Glavic, Drazenko & Milos, Mladenovic & Luttinen, Tapio & Cicevic, Svetlana & Trifunovic, Aleksandar, 2017. "Road to price: User perspectives on road pricing in transition country," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 79-94.
    18. Cavallaro, Federico & Giaretta, Federico & Nocera, Silvio, 2018. "The potential of road pricing schemes to reduce carbon emissions," Transport Policy, Elsevier, vol. 67(C), pages 85-92.
    19. Jo-Ann Pattinson & Gillian Harrison & Caroline Mullen & Simon Shepherd, 2022. "Combining Tradable Credit Schemes with a New Form of Road Pricing: Producing Liveable Cities and Meeting Decarbonisation Goals," Sustainability, MDPI, vol. 14(14), pages 1-22, July.
    20. Lindsey, Robin, 2012. "Road pricing and investment," Economics of Transportation, Elsevier, vol. 1(1), pages 49-63.
    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. Cavallaro, Federico & Giaretta, Federico & Nocera, Silvio, 2018. "The potential of road pricing schemes to reduce carbon emissions," Transport Policy, Elsevier, vol. 67(C), pages 85-92.
    2. Mohamad Shatanawi & Fatma Abdelkhalek & Ferenc Mészáros, 2020. "Urban Congestion Charging Acceptability: An International Comparative Study," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    3. Axsen, Jonn & Wolinetz, Michael, 2021. "Taxes, tolls and ZEV zones for climate: Synthesizing insights on effectiveness, efficiency, equity, acceptability and implementation," Energy Policy, Elsevier, vol. 156(C).
    4. Jean-Philippe Meloche, 2019. "Towards a New Era in Road Pricing? Lessons from the Experience of First Movers," CIRANO Working Papers 2019s-35, CIRANO.
    5. 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.
    6. Lana Krehic, 2022. "How do increases in electric vehicle use affect urban toll ring prices?," Public Choice, Springer, vol. 193(3), pages 187-209, December.
    7. Milenković, Marina & Glavić, Draženko & Maričić, Milica, 2019. "Determining factors affecting congestion pricing acceptability," Transport Policy, Elsevier, vol. 82(C), pages 58-74.
    8. Rødseth, Kenneth Løvold & Wangsness, Paal Brevik & Alexander Gregersen, Fredrik, 2024. "Panel data analysis of drivers under an evolving cordon tolling system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    9. Mariano Gallo & Mario Marinelli, 2020. "Sustainable Mobility: A Review of Possible Actions and Policies," Sustainability, MDPI, vol. 12(18), pages 1-39, September.
    10. Krabbenborg, Lizet & Molin, Eric & Annema, Jan Anne & van Wee, Bert, 2020. "Public frames in the road pricing debate: A Q-methodology study," Transport Policy, Elsevier, vol. 93(C), pages 46-53.
    11. Oliver Falck & Anita Dietrich & Astrid Janko & Tobias Kluth & Anita Wölfl, 2020. "Traffic Effects of a Congestion Charge in Munich," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 115, July.
    12. Tang, Cheng Keat, 2021. "The Cost of Traffic: Evidence from the London Congestion Charge," Journal of Urban Economics, Elsevier, vol. 121(C).
    13. 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.
    14. Thi Ngoc Nguyen & Felix Muesgens, 2024. "Fuel tax loss in a world of electric mobility: A window of opportunity for congestion pricing," Papers 2409.20033, arXiv.org.
    15. Mohamad Shatanawi & Mohammed Hajouj & Belal Edries & Ferenc Mészáros, 2022. "The Interrelationship between Road Pricing Acceptability and Self-Driving Vehicle Adoption: Insights from Four Countries," Sustainability, MDPI, vol. 14(19), pages 1-32, October.
    16. Helmers, Viola & Frondel, Manuel & Sommer, Stephan, 2023. "On the Acceptance of Congestion Charges: Experimental Evidence for Six European Countries," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277706, Verein für Socialpolitik / German Economic Association.
    17. Vosough, Shaghayegh & de Palma, André & Lindsey, Robin, 2022. "Pricing vehicle emissions and congestion externalities using a dynamic traffic network simulator," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 1-24.
    18. Tan, Yu & Sun, Zhanbo & Zhu, Baichuan & Qin, Ziye & Zhao, Yu & Wang, Xuting, 2024. "Minimize population exposure to vehicle-generated emissions by road pricing," Transport Policy, Elsevier, vol. 148(C), pages 15-30.
    19. Cheng Keat Tang, 2016. "Traffic Externalities and Housing Prices: Evidence from the London Congestion Charge," SERC Discussion Papers 0205, Centre for Economic Performance, LSE.
    20. Subhan, Fazle & Ali, Yasir & Zhao, Shengchuan & Oviedo-Trespalacios, Oscar, 2023. "Understanding and modeling willingness-to-pay for public policies to enhance road safety: A perspective from Pakistan," Transport Policy, Elsevier, vol. 141(C), pages 182-196.

    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:gam:jsusta:v:15:y:2023:i:3:p:2086-:d:1043849. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.