#TITLE_ALTERNATIVE#

• Main Author: BAMBANG BUDI PRASETYO (NIM 26996006), LEONARDUS
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/12331
• Institution: Institut Teknologi Bandung

Freight transport in an archipelago like Indonesia requires a variety of modes to meet national freight transport demands. Given a certain trip distance, the advantage of one mode over the other should be considered in planning of the national transport system, while network modelling techniques usually only involve a single mode. In conventional transport modelling, though primarily for passenger transport, consideration of multi modes are normally handled at a separate mode-choice stage, or at a combined distribution and mode choice stage, with an explicit multimodal network representation. Such techniques are sufficient for the requirements of passenger transport modelling, for which the technique has been widely utilized. However, in the context of freight such a modelling technique is not adequate. The objective of this study is to develop a network-based model for freight transport planning, with emphasis on the development of modelling of intermodal transfer nodes and modification of network representation. The study is limited to mainly land transport modes. The routing problem was solved by using the standard equilibrium method, i.e. user equilibrium ( UE) and system optimum (SO). The physical network was represented by using a parallel representation method to achieve an efficient representation of the multimodal network. The node explosion technique was used to model the intermodal transfers of freight. Modelling procedures were tested and applied on two hypothetical networks, and a real network of Java under the base (do nothing) and do something conditions. In the base condition, there are benefits of SO relative to UE of 5.97%, 4. 17%, 2.43% and 2%, respectively for the mini, medium type I, medium type II, and Java network. While in the do something case, there are potential savings relative to base case condition. Potential savings for the mini network are 14.63% for road and 8.95% for rail. For the medium network type I they are 0.64% for road and 11.96% for rail. For the medium network type II they are 3.42% for road and 10.46% for rail. And, for the Java network rail.