Date of Award
Master of Science in Maritime Affairs
Kingdom of Thailand
Since the increasing demand of container transport through Laem Chabang Port, Thailand, the port faces landside congestion due to the large share of road transport. The Inland Container Depot Ladkrabang is the dry port facility to support and increase the efficiency, and ease the congestion at the port by linking the dry port and the seaport by rail; however, the share of transport between the two facilities is largely by road. There are three modes of transport at Laem Chabang Port i.e. road, rail, and barge. The large share of a modal split by road creates severe landside congestion. Moreover, the Inland Container Depot Ladkrabang, which serves the direct rail link to Laem Chabang Port has a larger share of road transport. This causes traffic congestion from the increasing container throughput and other problems, i.e. air emissions, pollution in port and local community, excess cost of transport, and road accidents. This dissertation aims to study the reason why the modal share by rail has not increased, which hinders the growth of the rail transport between the two facilities by rail container transport data analysis. Furthermore, the research studies the effectiveness of government policies and investment into the rail transport system between Laem Chabang Port and Inland Container Depot Ladkrabang. Finally, the simulation technique is utilized using Rockwell Software Arena 14 to generate the virtual model, which is based on the real world system parameters and characteristics. The virtual simulation model allows free configurations and adjustments based on the real world applicability. Three scenarios are assumed, constructed, and quantified by the software. The results show that there are possibilities to create more efficient systems in the virtual models. The presentation of the real world application shows how the virtual model could be implemented and which measures are required to maintain the system efficiency. This also illustrates the impact of the system application to the current situation.