Affiliation:
1. Department of Management, Université du Québec à Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada
2. Interuniversity Research Center on Enterprise Network, Logistics and Transportation (CIRRELT), Québec City, QC G1V 0A6, Canada
Abstract
The increasing demand for freight services and the use of larger vessels to meet this demand has led to challenges related to storage space and logistics activities, highlighting the need for improvements in port infrastructure for better logistics management. At a crucial phase in its growth, the Port of Trois-Rivières in Canada is planning a major expansion, including the construction of a new terminal to enhance its hosting capacities and freight services. This expansion faces potential access congestion problems during the planned construction, exacerbated by the port’s urban setting. In response to the needs identified by the port authorities for this event, the study’s objective is to assess the implications of increased construction and freight truck flows on access gate fluidity and the impact of additional access infrastructure investment to mitigate potential congestion. These evaluations aim to define effective access management strategies throughout the construction period of the new terminal. To address these complexities, our approach is based on scenario analysis in variants co-constructed with the partner. These scenarios are evaluated using simulation models, configured according to parameters calibrated with a granularity that allows congestion detection. The results enabled an evaluation of the capability of existing and potential gates to manage access. Subsequently, recommendations were shaped in accordance with the expected objectives to manage access traffic effectively. These recommendations concern the optimization of construction activity planning, the layout and planning of access, and the importance of enhanced collaboration between municipal and port authorities for more controlled road traffic management. Recognizing the importance of synchromodality, road network centrality management, and the outsourcing of capacity through inter-port cooperation and with dry ports to manage congestion, these tools will be discussed in this work. The study proposes an approach that reconciles scientific rigor with the implementation constraints of the proposed solutions, allowing this study wider applicability in various port contexts facing challenges in this field of study.
Reference48 articles.
1. Zhang, Q., Wang, W., Guo, Z., and Zhang, J. (2016, January 27–29). Evolution of Port Ecological Carrying Capacity Based on SD Model. Proceedings of the 2016 International Conference on Computational Intelligence and Applications (ICCIA), Jeju, Republic of Korea.
2. Meersman, H., and Van De Voorde, E. (2014). Port Capacity Extension. A Trade-Off Between Public Investment and Shipping Companies’ Time Losses, University of Antwerp, Faculty of Business and Economics. Working Papers, 2014009.
3. Il est décédé d’une manière subite et inattendue: Les enquêtes du coroner du district judiciaire de Trois-Rivières, 1850–1950;Ricard;Rev. Hist. Am. Fr.,2019
4. L’Infrastructure et le trafic du port de Trois-Rivières;Cermakian;Cah. Géographie Québec,1972
5. Agent-Based Simulation Tool for Evaluating Pooled Queue Performance at Marine Container Terminals;Fleming;Transp. Res. Rec. J. Transp. Res. Board,2013