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Planning Problems in Intermodal Freight Transport ...

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<strong>in</strong>novative <strong>in</strong>termodal term<strong>in</strong>al concept (Bontekon<strong>in</strong>g and Kreutzberger [15]), which can<br />

replace shunt<strong>in</strong>g yards.<br />

Vis [16] discusses the strategic decision of choos<strong>in</strong>g the type of material handl<strong>in</strong>g<br />

equipment for storage and retrieval of conta<strong>in</strong>ers <strong>in</strong> and from the yard at sea term<strong>in</strong>als.<br />

Simulation is used to compare the use of manned straddle carriers with automated stack<strong>in</strong>g<br />

cranes. The total travel time required to handle a fixed number of requests serves as<br />

performance measure. A sensitivity analysis of the <strong>in</strong>put parameters is executed <strong>in</strong> order to<br />

formulate advice on the choice for a certa<strong>in</strong> type of material handl<strong>in</strong>g equipment <strong>in</strong> relation<br />

with the layout of the stack.<br />

3.3 Network Operator<br />

At a strategic decision level a network operator has to plan the <strong>in</strong>frastructure of the<br />

<strong>in</strong>termodal network. This implies decisions regard<strong>in</strong>g <strong>in</strong>vestments <strong>in</strong> l<strong>in</strong>ks and nodes.<br />

Network models have been proposed by various authors. Cra<strong>in</strong>ic et al. [17] extend uni-modal<br />

network models by add<strong>in</strong>g l<strong>in</strong>ks connect<strong>in</strong>g the various modes <strong>in</strong> order to derive an<br />

<strong>in</strong>termodal network model. The development of geographic <strong>in</strong>formation system (GIS)<br />

technology yields new opportunities for the modell<strong>in</strong>g of large multi-modal freight networks<br />

as Southworth and Peterson [18] show. Loureiro [19] presents a multi-commodity multi-<br />

modal network model to be used as a plann<strong>in</strong>g tool for determ<strong>in</strong><strong>in</strong>g <strong>in</strong>vestment priorities for<br />

<strong>in</strong>tercity freight networks. The ma<strong>in</strong> component of the model <strong>in</strong>corporates a non-l<strong>in</strong>ear bi-<br />

level multi-modal network design formulation. Its aim is to m<strong>in</strong>imise the transportation costs<br />

<strong>in</strong>curred by shippers and the environmental impacts caused by the use of less efficient modes<br />

of transportation for mov<strong>in</strong>g freight. Investment options to be considered by the model may

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