IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i21p12048-d669590.html
   My bibliography  Save this article

A Systematic Review of the Role of Road Network Pricing in Shaping Sustainable Cities: Lessons Learned and Opportunities for a Post-Pandemic World

Author

Listed:
  • Tariq Munir

    (Department of Civil and Construction Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia)

  • Hussein Dia

    (Department of Civil and Construction Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia)

  • Hadi Ghaderi

    (Department of Business Technology and Entrepreneurship, Swinburne University of Technology, Melbourne, VIC 3122, Australia)

Abstract

The growing number of studies on road network pricing requires adoption of systematic methodologies to assess research outcomes and provide an unbiased summary of research findings and lessons learned. This paper aims to identify and analyse primary studies related to a set of research questions on road network pricing that primarily address the effectiveness of road network pricing as a travel demand management strategy. The paper achieves this by consolidating the fragmented evidence on the topic and identifying the role of transport pricing in steering our post-pandemic cities on a path of sustainable urban mobility. The paper uses a reliable and auditable systematic approach to examine past and current research trends, resulting in a rational assessment of the role and impacts of road network pricing as a travel demand management strategy. The paper achieves this by performing a bibliometric citation analysis that identifies 105 articles of valuable research contributions that represent fundamental knowledge in the development of research covering the period between 2007 and 2020. Importantly, the review identifies four main research themes in the literature, namely implementation impacts, innovations in technology, acceptability, and modelling methodologies for determining impacts, that are core elements of the research effort on the travel demand management and sustainability aspects of road pricing. Inductive reasoning is then used to address emerging issues, applications, and the effects of road network pricing in reducing congestion and enhancing urban centre environmental quality. The paper concludes with a discussion of policy directions for overcoming barriers to the implementation of road network pricing as an effective strategy for addressing modern-day urban mobility challenges such as rising urban populations, emissions, and pollution particularly amid and post COVID-19. Finally, the paper provides a roadmap of future research opportunities that can heighten the role of road network pricing in shaping the directions of sustainable urban transport policies and strategies.

Suggested Citation

  • Tariq Munir & Hussein Dia & Hadi Ghaderi, 2021. "A Systematic Review of the Role of Road Network Pricing in Shaping Sustainable Cities: Lessons Learned and Opportunities for a Post-Pandemic World," Sustainability, MDPI, vol. 13(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12048-:d:669590
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/21/12048/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/21/12048/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kaddoura, Ihab & Nagel, Kai, 2019. "Congestion pricing in a real-world oriented agent-based simulation context," Research in Transportation Economics, Elsevier, vol. 74(C), pages 40-51.
    2. Wang, Hao & Li, Ruimin & Wang, Xiaokun (Cara) & Shang, Pan, 2020. "Effect of on-street parking pricing policies on parking characteristics: A case study of Nanning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 65-78.
    3. Jyh-Fa Tsai & Shao-Yu Lu, 2018. "Reducing traffic externalities by multiple-cordon pricing," Transportation, Springer, vol. 45(2), pages 597-622, March.
    4. David Hensher, 2013. "Exploring the relationship between perceived acceptability and referendum voting support for alternative road pricing schemes," Transportation, Springer, vol. 40(5), pages 935-959, September.
    5. Hensher, David A. & Puckett, Sean M., 2007. "Congestion and variable user charging as an effective travel demand management instrument," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(7), pages 615-626, August.
    6. Mohamad Shatanawi & Fatma Abdelkhalek & Ferenc Mészáros, 2020. "Urban Congestion Charging Acceptability: An International Comparative Study," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    7. 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.
    8. 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.
    9. Chen, Daqiang & Ignatius, Joshua & Sun, Danzhi & Goh, Mark & Zhan, Shalei, 2018. "Impact of congestion pricing schemes on emissions and temporal shift of freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 77-105.
    10. 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.
    11. 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.
    12. Basso, Leonardo J. & Guevara, Cristián Angelo & Gschwender, Antonio & Fuster, Marcelo, 2011. "Congestion pricing, transit subsidies and dedicated bus lanes: Efficient and practical solutions to congestion," Transport Policy, Elsevier, vol. 18(5), pages 676-684, September.
    13. Ren, Tao & Huang, Hai-Jun, 2020. "A competitive system with transit and highway: Revisiting the political feasibility of road pricing," Transport Policy, Elsevier, vol. 88(C), pages 42-56.
    14. Mehrdokht Pournader & Yangyan Shi & Stefan Seuring & S.C. Lenny Koh, 2020. "Blockchain applications in supply chains, transport and logistics: a systematic review of the literature," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2063-2081, April.
    15. Lehe, Lewis J., 2020. "Winners and losers from road pricing with heterogeneous travelers and a mixed-traffic bus alternative," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 432-446.
    16. 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.
    17. Schaller, Bruce, 2010. "New York City's congestion pricing experience and implications for road pricing acceptance in the United States," Transport Policy, Elsevier, vol. 17(4), pages 266-273, August.
    18. Morton, Craig & Lovelace, Robin & Anable, Jillian, 2017. "Exploring the effect of local transport policies on the adoption of low emission vehicles: Evidence from the London Congestion Charge and Hybrid Electric Vehicles," Transport Policy, Elsevier, vol. 60(C), pages 34-46.
    19. Amirhossein Baghestani & Mohammad Tayarani & Mahdieh Allahviranloo & H. Oliver Gao, 2020. "Evaluating the Traffic and Emissions Impacts of Congestion Pricing in New York City," Sustainability, MDPI, vol. 12(9), pages 1-16, May.
    20. Cipriani, Ernesto & Mannini, Livia & Montemarani, Barbara & Nigro, Marialisa & Petrelli, Marco, 2019. "Congestion pricing policies: Design and assessment for the city of Rome, Italy," Transport Policy, Elsevier, vol. 80(C), pages 127-135.
    21. 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.
    22. Li, Yaping & Guo, Yuntao & Lu, Jian & Peeta, Srinivas, 2019. "Impacts of congestion pricing and reward strategies on automobile travelers’ morning commute mode shift decisions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 72-88.
    23. Eliasson, Jonas, 2014. "The Stockholm congestion pricing syndrome: how congestion charges went from unthinkable to uncontroversial," Working papers in Transport Economics 2014:1, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
    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. Shatanawi, Mohamad & Alatawneh, Anas & Mészáros, Ferenc, 2022. "Implications of static and dynamic road pricing strategies in the era of autonomous and shared autonomous vehicles using simulation-based dynamic traffic assignment: The case of Budapest," Research in Transportation Economics, Elsevier, vol. 95(C).
    2. 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.

    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. Yaping Li & Zheng Liu & Shiqing Zhang, 2023. "Joint Impacts of Pricing Strategies and Persuasive Information on Habitual Automobile Commuters’ Travel Mode Shift Responses," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    2. Grisolía, José M. & López, Francisco & Ortúzar, Juan de Dios, 2015. "Increasing the acceptability of a congestion charging scheme," Transport Policy, Elsevier, vol. 39(C), pages 37-47.
    3. Peiyu Jing & Ravi Seshadri & Takanori Sakai & Ali Shamshiripour & Andre Romano Alho & Antonios Lentzakis & Moshe E. Ben-Akiva, 2023. "Evaluating congestion pricing schemes using agent-based passenger and freight microsimulation," Papers 2305.07318, arXiv.org.
    4. 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.
    5. Ortúzar, Juan de Dios & Bascuñán, Raúl & Rizzi, Luis Ignacio & Salata, Andrés, 2021. "Assessing the potential acceptability of road pricing in Santiago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 144(C), pages 153-169.
    6. 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.
    7. Chen, Dongxu & Sun, Yu & Yang, Zhongzhen, 2020. "Optimization of the travel ban scheme of cars based on the spatial distribution of the last digit of license plates," Transport Policy, Elsevier, vol. 94(C), pages 43-53.
    8. Virginia Petraki & Panagiotis Papantoniou & Asimina Korentzelou & George Yannis, 2022. "Public Acceptability of Environmentally Linked Congestion and Parking Charging Policies in Greek Urban Centers," Sustainability, MDPI, vol. 14(15), pages 1-15, July.
    9. Zhang, Wenjia & Liu, Chengcheng & Zhang, Hongmou, 2023. "Public acceptance of congestion pricing policies in Beijing: The roles of neighborhood built environment and air pollution perception," Transport Policy, Elsevier, vol. 143(C), pages 106-120.
    10. 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.
    11. Ben-Dor, Golan & Ogulenko, Aleksey & Klein, Ido & Ben-Elia, Eran & Benenson, Itzhak, 2024. "Simulation-based policy evaluation of monetary car driving disincentives in Jerusalem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    12. 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.
    13. Adnan, Muhammad & Nahmias Biran, Bat-hen & Baburajan, Vishnu & Basak, Kakali & Ben-Akiva, Moshe, 2020. "Examining impacts of time-based pricing strategies in public transportation: A study of Singapore," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 127-141.
    14. Hysing, Erik, 2015. "Citizen participation or representative government – Building legitimacy for the Gothenburg congestion tax," Transport Policy, Elsevier, vol. 39(C), pages 1-8.
    15. Galit Cohen-Blankshtain & Hillel Bar-Gera & Yoram Shiftan, 2023. "Congestion pricing and positive incentives: conceptual analysis and empirical findings from Israel," Transportation, Springer, vol. 50(2), pages 607-633, April.
    16. Ramos, Raúl & Cantillo, Víctor & Arellana, Julián & Sarmiento, Iván, 2017. "From restricting the use of cars by license plate numbers to congestion charging: Analysis for Medellin, Colombia," Transport Policy, Elsevier, vol. 60(C), pages 119-130.
    17. Bhavna Singichetti & Adam Dodd & Jamie L. Conklin & Kristen Hassmiller Lich & Nasim S. Sabounchi & Rebecca B. Naumann, 2022. "Trends and Insights from Transportation Congestion Pricing Policy Research: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
    18. Chapala, Sai Bharath Kumar & Nair, Preetha & Sreekumar, M. & Bhavathrathan, B.K., 2024. "A dynamic traffic assignment framework for policy analysis in cities with significant share of two-wheelers," Transport Policy, Elsevier, vol. 147(C), pages 125-139.
    19. Prieto-Rodriguez, Juan & Perez-Villadoniga, Maria J. & Salas, Rafael & Russo, Ana, 2022. "Impact of London Toxicity Charge and Ultra Low Emission Zone on NO2," Transport Policy, Elsevier, vol. 129(C), pages 237-247.
    20. Mehdizadeh, Milad & Shariat-Mohaymany, Afshin, 2021. "Who are less likely to vote for a low emission charging zone? Attitudes and adoption of hybrid and electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 29-43.

    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:13:y:2021:i:21:p:12048-:d:669590. 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.