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Comparative Evaluation of Road Pricing Schemes: A Simulation Approach (Australian Perspective)

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)

  • Sajjad Shafiei

    (Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia)

  • Hadi Ghaderi

    (Department of Management and Marketing, Swinburne University of Technology, Melbourne, VIC 3122, Australia)

Abstract

Road network pricing and congestion charging continue to be debated as efficient instruments to address traffic congestion and emissions. For cities where the schemes have not been implemented yet, the impacts of these schemes are typically evaluated using transport simulation models to understand the impacts and design effective solutions before the schemes are deployed. This paper considers a simulation approach for the city of Melbourne in Australia to investigate the potential impacts of road network pricing on reducing private vehicle travel, road congestion, and vehicle emissions. The study uses a dynamic traffic simulation model developed for Melbourne using the AIMSUN modeling tool, which was extended for modeling road user pricing and congestion charging, including considerations and formulations of distance-based, delay-based, joint-distance-and-delay-based, and cordon-based schemes under low-cost, medium-cost, and high-cost regimes. The study’s contributions also include an extension of the modeling framework to include public transport options to allow for providing travelers with the option of choosing an alternative mode of transport if they do not wish to pay. A mesoscopic stochastic route choice modeling approach was adopted to examine the impact of road pricing inside a nominated charging zone within the network. The results showed it would be possible to achieve a reduction of 11% in vehicle count, a 20% reduction in travel time, a 13% reduction in emissions, and a 3% increase in travel speed within the proposed pricing zone under a high-cost pricing scenario. The results also showed a significant reduction in emissions resulting from shifting drivers who are not willing to pay the congestion charge to public transport. When 20% of car drivers shifted to public transport, carbon emissions were reduced by up to 30% and network performance improved by 45%, compared to the baseline scenario without pricing. The findings of this research provide important directions for policymakers in deciding on the type and scope of charging schemes to use and how these could reshape transportation taxation systems by moving away from taxes on vehicles through registration fees and towards user-pay taxations where travelers pay for the amount of travel they do or the pollution and emissions they are responsible for.

Suggested Citation

  • Tariq Munir & Hussein Dia & Sajjad Shafiei & Hadi Ghaderi, 2023. "Comparative Evaluation of Road Pricing Schemes: A Simulation Approach (Australian Perspective)," Sustainability, MDPI, vol. 15(23), pages 1-26, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:23:p:16366-:d:1289467
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    References listed on IDEAS

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    1. 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.
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