Abstract
Since rail-road transport uses road and rail networks and requires the transshipment infrastructures at the terminals, its competitiveness depends not only on the costs but also on the location of these terminals. This paper focused on providing a methodology for determining the optimal locations for intermodal freight transportation terminals in consolidation network. The goal is to minimize total costs in order to increase the efficiency of the transportation system. This paper also has allowed us to have an overview of the methods and models that exist for solving the problem of intermodal and terminal locating.
Highlights
Localization consists of determining the location of one or more installations in order to optimize an economic function depending on the distances between these installations and a set of potential users.Mathematical models have been developed and used to solve intermodal transport problems
This paper focused on providing a methodology for determining the optimal locations for intermodal freight transportation terminals in consolidation network
The goal is to minimize total costs in order to increase the efficiency of the transportation system
Summary
Localization consists of determining the location of one or more installations in order to optimize an economic function depending on the distances between these installations and a set of potential users. Mathematical models have been developed and used to solve intermodal transport problems. These models can be classified in several ways. The classification can be based on the distinction between the type of space in which the terminal is to be located, the nature of the inputs (for example: static or dynamic, deterministic or probabilistic), the type of metric used, the number of facilities to be located, on the nature of the demand (elastic or inelastic), depending on whether the capacity of the installations is taken into account or not, etc. The formulation of the localization in a discrete space considers that there are only a finite number of potential sites. The strategy of location problems implies that the model considers the evolution of demand.
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