Ben Daya, B.; Audy, J.-F. Port Access Fluidity Management during a Major Extension Project: A Simulation-Based Case Study. Sustainability2024, 16, 2834.
Ben Daya, B.; Audy, J.-F. Port Access Fluidity Management during a Major Extension Project: A Simulation-Based Case Study. Sustainability 2024, 16, 2834.
Ben Daya, B.; Audy, J.-F. Port Access Fluidity Management during a Major Extension Project: A Simulation-Based Case Study. Sustainability2024, 16, 2834.
Ben Daya, B.; Audy, J.-F. Port Access Fluidity Management during a Major Extension Project: A Simulation-Based Case Study. Sustainability 2024, 16, 2834.
Abstract
In response to growing industrial demands, necessitated by larger ships and increased cargo volumes, many port authorities worldwide are undertaking a significant expansion of their infrastructure to increase their capacity. Significant expansion raises challenges such as potential congestion and environmental concerns, especially for port located in urban area as the case study explored in this paper. To address these issues, the study employs a combination of scenario analysis developed in collaboration with the port authority and logistic system simulation. This approach assesses the capacity of existing access gates to handle the increased trucking traffic and optimizes the unloading process of construction trucks at a new terminal. Key findings suggest that while the current gate capacities are adequate, optimizing unloading times at the new terminal is critical to prevent road congestion in urban area before the gate and reduce negative impacts such as sound and atmospheric pollution. The study advocates for an appointment system during peak hours to manage traffic flow effectively and underscores the importance of collaboration between the city and port authorities in managing truck traffic to mitigate congestion on the city side. Nonetheless, the study recognizes certain constraints, including the incomplete evaluation of the influence of intermodal transport on truck traffic. Furthermore, the study emphasizes the need for future research to consider the correlation between vehicle numbers and service levels, aiming to effectively adjust the time in the system.
Business, Economics and Management, Business and Management
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
