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High-Profile Convoy Disruptions: Exploring Socioeconomic and Environmental Ramifications of Road Closures

Author

Listed:
  • Muhammad Umer Zubair

    (School of Civil & Environmental Engineering, College of Engineering, King Faisal University, Al Hofuf 31982, Saudi Arabia)

  • Muhammad Ahmed Javed

    (School of Civil & Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Sameer Ud-Din

    (School of Civil & Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Muhammad Asif Khan

    (School of Civil & Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

  • Asad Ali

    (Department of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, ND 58102, USA)

  • Malik Saqib Mahmood

    (School of Civil & Environmental Engineering (SCEE), National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan)

Abstract

Congestion persists despite various demand management techniques, particularly for handling recurrent congestion. However, non-recurrent congestion from events like VIP movements poses unique challenges, especially during peak hours. This study investigates the environmental and economic impacts of road blockages due to VIP movements in developing countries, focusing on Pakistan. Considering practiced standard operating procedures associated with VIP movements, this study finds significant delays and economic burdens in debt-ridden economies. It uses discrete choice modeling and microsimulation techniques to evaluate the value of travel time and quantifies road blockage effects on fuel consumption, travel time, and carbon emissions. Data from central blockage locations in Rawalpindi and Islamabad reveal a value of travel time estimated at 1.77 USD/h, with income and gender significantly influencing mode choices during VIP movements. Moreover, road blockages exceeding two minutes substantially negatively impact the environment and economy, particularly in developing nations. Urgent action is needed for effective mitigation strategies and sustainable transportation policies to address the detrimental effects and promote alternative transportation modes. Recommendations include limiting VIP blockages to a maximum of two minutes and implementing policies to discourage private car usage. Despite limitations, the study emphasizes the critical role of sustainable transportation policies in enhancing the well-being of road users in developing nations.

Suggested Citation

  • Muhammad Umer Zubair & Muhammad Ahmed Javed & Sameer Ud-Din & Muhammad Asif Khan & Asad Ali & Malik Saqib Mahmood, 2024. "High-Profile Convoy Disruptions: Exploring Socioeconomic and Environmental Ramifications of Road Closures," Sustainability, MDPI, vol. 16(13), pages 1-23, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5278-:d:1419356
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    References listed on IDEAS

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    1. Bashir Ahmed Albashir Abdulali & Mohd Aftar Abu Bakar & Kamarulzaman Ibrahim & Noratiqah Mohd Ariff & Alessandro De Gregorio, 2022. "Extreme Value Distributions: An Overview of Estimation and Simulation," Journal of Probability and Statistics, Hindawi, vol. 2022, pages 1-17, October.
    2. Georgios P. Kouretas & Panayotis F. Diamandis & Pericles Tzanetos, 1997. "Modelling the choice of mode and estimation of the value of travel time savings for the case of the Rion-Antirion suspension bridge in Greece," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 31(4), pages 473-489.
    3. Luis I. Rizzi & Juan de Dios Ortúzar, 2006. "Road Safety Valuation under a Stated Choice Framework," Journal of Transport Economics and Policy, University of Bath, vol. 40(1), pages 69-94, January.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    5. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    6. Nicolás Garrido, 2012. "Computing the cost of traffic congestion: a microsimulation exercise of the City of Antofagasta, Chile," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(8), pages 752-768, December.
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