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In regions with an extensive waterway network intermodal transport including inland navigation is a good alternative for unimodal road transport. Intermodal transport networks exhibit an increased complexity due to the inclusion of multiple transport modes, multiple decision makers and multiple types of load units. A discrete event simulation methodology is proposed to understand the network dynamics and analyze policy measures with the intention of stimulating intermodal barge transport. The simulation model allows to quantify a number of network properties resulting from the interaction of freight flows. The intermodal hinterland network of the port of Antwerp serves as the real-world application in this study. Various aspects in the modelling process are discussed and a first potential policy is analysed. | In regions with an extensive waterway network intermodal transport including inland navigation is a good alternative for unimodal road transport. Intermodal transport networks exhibit an increased complexity due to the inclusion of multiple transport modes, multiple decision makers and multiple types of load units. A discrete event simulation methodology is proposed to understand the network dynamics and analyze policy measures with the intention of stimulating intermodal barge transport. The simulation model allows to quantify a number of network properties resulting from the interaction of freight flows. The intermodal hinterland network of the port of Antwerp serves as the real-world application in this study. Various aspects in the modelling process are discussed and a first potential policy is analysed. | ||
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* [http://dx.doi.org/10.1007/978-3-642-02199-2_14 http://dx.doi.org/10.1007/978-3-642-02199-2_14] | * [http://dx.doi.org/10.1007/978-3-642-02199-2_14 http://dx.doi.org/10.1007/978-3-642-02199-2_14] | ||
| − | * [ | + | * [https://documentserver.uhasselt.be//bitstream/1942/10820/1/Modelling_Complex_Intermodal_Freight_Flows._.pdf https://documentserver.uhasselt.be//bitstream/1942/10820/1/Modelling_Complex_Intermodal_Freight_Flows._.pdf] |
| − | * [https:// | + | * [http://link.springer.com/content/pdf/10.1007/978-3-642-02199-2_14.pdf http://link.springer.com/content/pdf/10.1007/978-3-642-02199-2_14.pdf], |
| + | : [http://dx.doi.org/10.1007/978-3-642-02199-2_14 http://dx.doi.org/10.1007/978-3-642-02199-2_14] | ||
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| + | * [https://link.springer.com/chapter/10.1007/978-3-642-02199-2_14 https://link.springer.com/chapter/10.1007/978-3-642-02199-2_14], | ||
| + | : [http://doclib.uhasselt.be/dspace/bitstream/1942/10820/1/Modelling_Complex_Intermodal_Freight_Flows._.pdf http://doclib.uhasselt.be/dspace/bitstream/1942/10820/1/Modelling_Complex_Intermodal_Freight_Flows._.pdf], | ||
| + | : [https://rd.springer.com/chapter/10.1007/978-3-642-02199-2_14 https://rd.springer.com/chapter/10.1007/978-3-642-02199-2_14], | ||
| + | : [https://academic.microsoft.com/#/detail/30321683 https://academic.microsoft.com/#/detail/30321683] | ||
Latest revision as of 14:30, 21 January 2021
Abstract
In regions with an extensive waterway network intermodal transport including inland navigation is a good alternative for unimodal road transport. Intermodal transport networks exhibit an increased complexity due to the inclusion of multiple transport modes, multiple decision makers and multiple types of load units. A discrete event simulation methodology is proposed to understand the network dynamics and analyze policy measures with the intention of stimulating intermodal barge transport. The simulation model allows to quantify a number of network properties resulting from the interaction of freight flows. The intermodal hinterland network of the port of Antwerp serves as the real-world application in this study. Various aspects in the modelling process are discussed and a first potential policy is analysed.
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Published on 01/01/2009
Volume 2009, 2009
DOI: 10.1007/978-3-642-02199-2_14
Licence: CC BY-NC-SA license
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