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Modeling of Applying Road Pricing to Airport Highway Using VISUM Software in Jordan

Author

Listed:
  • Amani Abdallah Assolie

    (Department of Civil Engineering, Faculty of Engineering, Ajloun National University, Ajloun 26810, Jordan)

  • Rana Imam

    (Department of Civil Engineering, The University of Jordan, Amman 11942, Jordan)

  • Ibrahim Khliefat

    (Department of Civil Engineering, Faculty of Engineering, AL-Balqa Applied University, Salt 19117, Jordan)

  • Ala Alobeidyeen

    (Department of Civil Engineering, Tafila Technical University, Tafila 66110, Jordan)

Abstract

Road congestion in Amman City has been increasing yearly, due to the increase in private car ownership and traffic volumes. This study aims to (a) evaluate the toll road’s effects on society and the economy in Amman, Jordan, through a survey questionnaire using statistical software (SPSS), (b) assess the impact of the toll road on reducing congestion and delays using micro-simulation (VISUM), (c) identify the optimal toll price for a selected road using VISUM and (d) validate the simulated models with the optimal revenue. Traffic, geometric, and cost data about the toll technique of two sections on the Airport Highway (from the Ministry of Foreign Affairs to the Madaba Interchange; and from the Madaba Interchange to the Queen Alia International Airport (QAIA) Interchange) were used for simulation purposes. The toll road (across seven different scenarios at different prices) was evaluated for optimal revenue. The survey questionnaire was made based on all scenarios, including the AM peak hour. The operation cost for the toll road was determined based on the Greater Amman Municipality (GAM). The best scenario was determined based on the value of revenue (JOD). The results indicate that higher acceptance is achieved when applying road pricing during the AM peak hour and that users prefer the charging method based on travelled distance (54.02%). Additionally, the total cost of the manual toll collection (MTC) method is 126,935 JOD. Road pricing can reduce traffic delay (or speed up traffic flow) by 4.61 min in the southbound direction and by 9.52 min in the northbound direction. The optimal toll value is 0.25 JOD (34.08%), with revenues of 1089.6 JOD for 2024 and 1122.6 JOD for 2025. Eventually, applying road pricing on the airport road is shown to be effective and economically feasible only when using the manual method.

Suggested Citation

  • Amani Abdallah Assolie & Rana Imam & Ibrahim Khliefat & Ala Alobeidyeen, 2024. "Modeling of Applying Road Pricing to Airport Highway Using VISUM Software in Jordan," Sustainability, MDPI, vol. 16(18), pages 1-49, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:18:p:8079-:d:1478959
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    References listed on IDEAS

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    1. Ubbels, Barry & Verhoef, Erik, 2006. "Acceptability of road pricing and revenue use in the Netherlands," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 32, pages 69-94.
    2. Junwei Zeng & Yongsheng Qian & Fan Yin & Leipeng Zhu & Dejie Xu, 2022. "A multi-value cellular automata model for multi-lane traffic flow under lagrange coordinate," Computational and Mathematical Organization Theory, Springer, vol. 28(2), pages 178-192, June.
    3. Parry, Ian W.H. & Bento, Antonio M., 1999. "Tax Deductible Spending, Environmental Policy, and the "Double Dividend" Hypothesis," Discussion Papers 10737, Resources for the Future.
    4. Cools, Mario & Brijs, Kris & Tormans, Hans & Moons, Elke & Janssens, Davy & Wets, Geert, 2011. "The socio-cognitive links between road pricing acceptability and changes in travel-behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 779-788, October.
    5. S. Jaensirisak & M. Wardman & A. D. May, 2005. "Explaining Variations in Public Acceptability of Road Pricing Schemes," Journal of Transport Economics and Policy, University of Bath, vol. 39(2), pages 127-154, May.
    6. Condeço-Melhorado, Ana & Gutiérrez, Javier & García-Palomares, Juan Carlos, 2011. "Spatial impacts of road pricing: Accessibility, regional spillovers and territorial cohesion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(3), pages 185-203, March.
    7. Xie, Litian & Olszewski, Piotr, 2011. "Modelling the effects of road pricing on traffic using ERP traffic data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 512-522, July.
    8. Amani Abdallah Assolie & Nur Sabahiah Abdul Sukor & Ibrahim Khliefat & Teh Sabariah Binti Abd Manan, 2023. "Modeling of Queue Detector Location at Signalized Roundabouts via VISSIM Micro-Simulation Software in Amman City, Jordan," Sustainability, MDPI, vol. 15(11), pages 1-33, May.
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