Abstract
The purpose of this article is to show a simplified but effective reading of Genoa’s and Rotterdam’s port performances and their potential hinterland economic power, depicting port catchment area size at the NUTS 2 and NUTS 3 levels. Developing a multi-criteria approach, a proper methodology is designed to produce a Port Performance Indicator (PPI) as a synthetic tool to assess port performance at each end of the CODE24 axis with reference to a panel of Mediterranean ports (La Spezia, Marseille and Barcelona) and a panel of North European ports (Antwerp, Bremen and Hamburg), where the two ports of Genoa and Rotterdam are placed, respectively. The analysis demonstrates how the combination of the rail and road transport mode may extend the hinterland’s potential and its competitiveness over both the short and the long haul. The strength of the hinterlands of Genoa and Rotterdam is the extent of their intensive industrial and commercial activity and their dense infrastructural network.
Today, the greater flow along the corridor is southbound, while considerable northbound capacities are available. Further analyses were put in place to check for suitable conditions to render the setting up of a shuttle linking the Ligurian ports to the European intermodal network feasible. Due to their geographical location, transport chains via Ligurian ports can have time, flexibility and environmental advantages compared to other transport chains.
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Notes
- 1.
TRANS-TOOLS is a European transport network model, developed in a research project co-funded by the European Commission within the sixth Framework programme activities. TRANS-TOOLS is similar to a traditional four-stage model that simulates both passenger and freight transports; it has a modular structure that includes the Computable General Equilibrium economic model, which produces as output an estimate of impact on the GDP of a given region of the policies implemented in the scenario analysis, and a module able to calculate energy consumption, emissions, external costs, accidents according to the output of the assignment model. Output of version v2 was used.
- 2.
A third mode for Rotterdam, with respect to the inland waterway, is not considered in this study.
- 3.
When a section by sea is required.
- 4.
Feeder section.
- 5.
Vehicle Operating Costs.
- 6.
Suitable ranges have been selected arbitrarily.
- 7.
This methodology was applied to evaluate Cluster 4, related to the port hinterland performances. The catchment area dimension was defined for all eight ports that make up the selected sample of this analysis (four ports in the Mediterranean Sea Range and four ports in the North Sea Range, including Genoa and Rotterdam).
- 8.
European Observation Network for Territorial Development and Cohesion.
- 9.
Twenty-foot equivalent units.
- 10.
The study was concluded in September 2011.
- 11.
Voltri Terminal Europa (VTE), Genoa; La Spezia Container Terminal (LSCT); Terminal de Contenidors de Barcelona SL (TCB); Terminal à conteneurs de Fos, Marseille; ECT Delta Terminal, Rotterdam; Terminal MSC Home, Antwerp; HHLA Container Terminal Burchardkai, Hamburg; Terminal Eurogate Bremen.
- 12.
For more in-depth insights, please refer to the final publication Port assessment tools: hinterland definition and performances analysis by Uniontrasporti, September 2011.
- 13.
The feedback provided by Genoa port operators about the infrastructure equipment inside the port, outlines a prevalence of “inadequate” evaluations concerning: proper availability of parking area for heavy goods vehicles, proper road and rail network in the port and availability of covered areas for goods.
- 14.
Considering the results of the survey on the Genoa site, general satisfaction was registered regarding the computerisation of services and ICT integration available in the port.
References
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Africani, A., Delpiano, R., Fontanili, A., Deutsch, A., Kohlschütter, J. (2016). Linking Terminal Ports to the Hinterland. In: Drewello, H., Scholl, B. (eds) Integrated Spatial and Transport Infrastructure Development. Contributions to Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-15708-5_11
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