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AURH - Analytical Atlas of freigth transport in NWE
1. ANALYTICAL ATLAS Freight transport
in North-Western Europe:
regional dynamics,
infrastructure and
inter-regional exchanges
Weastflows project - Action 1 - Deliverable 2 - September 2014
2.
3. CONTENT
Executive summary....................................................................................................p.5
Part 1: geographical analysis of North-Western Europe.....p.7
About geographical analysis....................................................................................................p.8
1.1 European territorial organisation ...............................................................................p.10
1.2 Maritime organisation.....................................................................................................p.12
1.3 Organisation of transport infrastructure networks..................................................p.18
Part 2: focus on each of the eleven remarkable areas in
North-Western Europe.............................................................................................p.25
About quantitative and qualitative analysis.........................................................................p.26
2.1 Ireland..................................................................................................................................p.30
2.2 Shannon-Limerick Gateway..........................................................................................p.32
2.3 Scotland...............................................................................................................................p.34
2.4 Liverpool and the west coast........................................................................................p.36
2.5 Greater London and central England.........................................................................p.38
2.6 Southern England.............................................................................................................p.40
2.7 Southern Netherlands......................................................................................................p.42
2.8 Benelux and Eastern France........................................................................................p.44
2.9 Western Germany............................................................................................................p.46
2.10 Northern France................................................................................................................p.48
2.11 Seine Gateway®................................................................................................................p.50
Part 3: analysis of interactions.......................................................................p.53
About the analysis of interactions..........................................................................................p.54
3.1 General analysis of interactions broken down by geozone..................................p.56
3.2 Key interactions between geozones.............................................................................p.58
3.3 Modal analysis of interactions........................................................................................p.60
3.4 Dominant interactions by individual geozones..........................................................p.62
3.5 Transnational dominant interactions.............................................................................p.64
Conclusion
Rolling out new European dynamics........................................................p.68
Map index.............................................................................................................................p.71
5. Development of ports and freight flow management have a strong correlation with the
infrastructure network and its capacity to propose a panel of multimodal services that decrease
the environmental impact of goods transport. Knowing the characteristics, strengths and
weaknesses, opportunities and threats of this network is thus crucial, as well as deep
knowledge of the main inter-regional goods exchanges. This is the goal of the work carried
out by AURH in this report with a quantitative, qualitative and cartographical analysis of
the transport infrastructures and regional dynamics.
This publication is a part of the European Weastflows project (INTERREG IV B for North-
Western Europe). This four-year project (2011-2014) is aimed at improving North-Western
Europe logistics and freight transport as well as identifying alternative solutions to mitigate
congestion in the Northern Range ports and traditional North-South roads. The scope of the
study includes seven European countries (cf. map). It does not include the southern part of
France, the northern part of the Netherlands, the eastern part of Germany and because of
this, a part of the Northern Range, including Hamburg.
This Analytical Atlas is the second stage of work AURH has carried out for Weastflows. It
follows The Atlas of Major North-West European Freight Infrastructures published in June,
2013. This atlas listed an inventory of transport infrastructures, including all types of goods
and modes, whether they already existed or were planned.
This second opus goes even further and readers will be invited to comprehend stakes
concerning transport of goods in North-Western Europe, taking into account the
infrastructures and looking at this from a sustainable development point of view. It
raises the question of the massification of exchanges, of modal changes as well as the
environmental impact freight transport has.
This deliverable uses data from the Geographical Information System (GIS) designed by
AURH. This GIS data base, drawn up with the assistance of all partners in this project,
is today considered as a reference work. It is a free of charge source of information on
North-Western Europe freight transport infrastructures. OpenStreetMap is the main reference
document and has been laid out and enriched to comply with Weastflows’ requirements.
This data can be consulted, after registration, on the GeoWeastflows interactive cartography
platform developed by AURH and the Henri Tudor Public Research Centre, a Weastflows
partner, based in Luxembourg at the following link: http://geo.weastflows.eu
For this deliverable, AURH designed a method that uses GIS spatial analysis tools applied to
the infrastructure network, and including, in particular:
• development of a grid analysis for a geographical study of the network which points out
its concentrations;
• definition of indicators to highlight strengths and weaknesses;
• cartography of goods exchanged between North-Western Europe regions for a preliminary
matching with infrastructures.
This document is organised in three parts, each preceded by a methodological introduction.
The first part proposes a geographical analysis of North-Western Europe. It focuses on
regional characteristics: demography, land use, the port network and transport infrastructures.
The second part presents a quantitative and qualitative analysis on the network of
infrastructures. It concerns eleven remarkable strategic regional areas for freight transport.
These areas were defined, in a collusive manner, at the beginning of the project. The Atlas
had already included a series of maps at this scale.
Lastly, the third part focuses on the analysis and qualification of the main goods exchanged
between regions in North-Western Europe. These interactions were analysed using a
theoretical goods flow matrix structure. This matrix structure was designed by the Scottish
partner, SEStran in the framework of Action 4 of the project on the analysis of freight demand.
AURH integrated the data into the GIS.
Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014 5
EXECUTIVE SUMMARY
8. About geographical analysis
This geographical analysis provides keys allowing readers to better understand territorial and
maritime stakes of freight transport.
It includes three parts:
• demographic and industrial densities;
• port organisation;
• transport infrastructures using the grid analysis method.
Why use grid analysis?
The European Union statistical system is based on a territorial division shared by the entire
European Union called NUTS (Nomenclature of Territorial Units for Statistics). This reference
system has three stages of division from NUTS 1 to NUTS 3. It is based on administrative
divisions of member States correlated to population weight. Because of this, there are large
divergences from one country to another, in particular in terms of area, which generates
disequilibrium when comparing two zones between themselves.
How does it work?
Knowing this, AURH has designed a specific grid variation that divides the North-West
European area into 1,290 squares of 800 km2 each. This division is more precise than the
NUTS reference system which divides the same area into 485 NUTS 3, with an average area
of 1,650 km2. The size chosen corresponds to the area of the smallest German administration
division, which is equivalent to districts or city districts. Each square then brings information
stemming from crossing it with network infrastructures.
The grid analysis method was developed for roads, railways and inland waterways as well as
for nodal elements such as ports, railway terminals and airports:
• the infrastructure density was measured for networks by including each square in the
total length of the network ;
• for nodal infrastructures (ports, railways terminal and airports), the density of infrastructures
was measure by the total number of nodes in each square.
By cross referencing this data, each square gives information indications on the accumulated
lengths of intersected networks or the total number of nodal infrastrutures. In order to make
the grid variation easier to read, a discretization of data into three classes was made, using
the standard discretization method. Each class was qualified according to the following
categorization: strong, average and weak for the infrastructure concentration level.
Some squares can belong to no class at all, and thus give “absence of data” information.
This can mean two things:
• either there are no infrastructures at all,
• or there are no infrastructures adapted to mass freight transport.
Methodological interest of grid analysis
With grid analysis, you can:
• exceed limitations of administrative divisions or traditional statistics,
• supply a homogeneous data repository in which each area can be compared objectively
to the others,
• cross reference data.
What grid analysis shows
Grid analysis methods, when applied to the analysis of transport infrastructures for each of
the three modes inland waterways, and the associated nodal infrastructures (ports, railways
terminal and airports) give a geographical analysis of freight transport infrastructures:
• it highlights concentrated infrastructures,
• it pre-identifies congested zones as well as sectors conducive to the development of
intermodality,
• it highlights the continuities and discontinuities of the network.
The grid analysis method focuses on territorial divergences by highlighting network densities.
8 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
9. Commentaires
Fromto NgUridT Sd i3vi sdioivnision
infraVsetrnutciltautrioen n oeft wthoerk in the squares of the grid
(Sources : Weastflows project, AURH processing)
Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014 9
18. 1.3 Organisation of transport infrastructure networks
Inland waterway network: grid analysis method
$ Data sources: Weastflows project,
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Manchester ship canal
Thames
Seine Valley
Netherlands, Belgium
and Rhine basin
Loire
Saône Valley
This map represents concentrations of inland waterways whose ECMT
classification exceeds or equals V*, the relevant threshold value for mass
freight transport.
This highlights the unequal breakdown of the large clearance inland
waterway network, stemming from both natural and human factors. Ireland
and Scotland have none, thus limiting the potentialities of modal changes
to this mode, whereas Benelux and Germany have stronger network
concentrations as well as longer continuities. France’s network is also
much less developed, and characterised by the absence of continuity and
connection with Belgian, Dutch and German networks. England has a nearly
non-existing network which, nonetheless, does link country’s two main
production and consumption basins to the sea: London to the North Sea with
the Thames River and the Liverpool/Manchester region to the Atlantic Ocean
via the Manchester Canal. We can identify two complementary networks:
the Loire region on the Atlantic facade and the Saone Valley region with
interconnections to inland waterways in the South of France.
Inland waterways concentration
Type of inland waterway concentration*
Total length of network per square
based on inland waterways with a
CEMT class V and over
High Medium Low
No data**
Inland waterway regions
Perimeter
North-West Europe area
*only are considered the relevant infrastructure
for high level of freight transportation
**no data can mean no infrastructures or
no infrastructures relevant for high level of
freight transportation
Data sources: Weastflows project,
powered by AURH
Shetland, Scotland Shetland
* The ECMT classification indicates the seaworthiness level of the European network of inland waterways.
It has seven classes, from I to VII.
Type of inland waterway concentration*
based on inland waterways with a CEMT class V and over
High Medium Low
No data**
Inland waterway
region
Contextual information
North-Western Europe
* only relevant freight transport infrastructures have been considered
** no data can means no infrastructure or no infrastructure relevant for
freight transport
Concentration de voies navigables*
18 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
19. Road network: grid analysis method
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North East of
United Kingdom
South of
United Kingdom
Seine Valley
Benelux
and Rhine basin
South of
Ireland
Saône Valley
Karlsruhe /
Nuremberg axis
Rhine Valley
Belfast area
square
No data**
infrastructure
transportation
infrastructures or
level of
Shetland, Scotland Shetland
Contrary to the inland waterway network, the road network is characterised
by quite a homogeneous distribution in the area we studied. This maps shows
that nearly all of North-Western Europe is equipped with a road network that
is adapted to mass freight transport.
Urban centres with dense population levels thus logically have the densest
road networks. This is the case, amongst others, of the Rhine River Basin,
the Seine River Valley, the central and Southern parts of the United Kingdom,
including Greater London, as well as the South of Ireland, with Cork and
Waterford.
For France, the Seine River Valley stands out as being the axis with the
highest number of road infrastructures both in intensity and continuity. At
a European level, the South of the United Kingdom is the region with the
strongest network densities.
Benelux and the Rhine River Basin are characterised by a more homogeneous
and regular distribution, well covering their areas. Four complementary areas
were also identified: the Belfast region, the Saone River Valley, the Rhine
River Valley in its French part as well as the Karlsruhe/Nuremberg axis. The
last three allow Southern and Eastern Europe to be interconnected.
Type of road concentration*
High Medium Low
No data**
Road region
Contextual information
North-Western Europe
* only relevant freight transport infrastructures have been considered
** no data can means no infrastructure or no infrastructure relevant for
freight transportation
Concentration de réseau routier*
Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014 19
20. $ Data sources: Weastflows project,
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®AURH - 2014/06 0 25 50 100
powered by AURH
Railway network: grid analysis method
Centre of United Kingdom
London area
Paris area
Belgium
Netherlands
Duisburg and
Rhine corridor
As is the case with the road network, the railway network is broken down in
a quite homogeneous manner throughout the North-West European area,
though some disequilibrium does exist.
Ireland and Scotland has the smallest concentrations as does Western
France, where several zones have no railway Railways infrastructures concentration
whatsoever.
These regions, from this point of view, are in peripheral positions.
It can quite logically be seen that the highest Type concentrations of railway concentration*
are found in
densely populated urban centres. Areas identified Total length are: of network Belgium per square
and the
Rhine River axis, Paris and its surrounding region, Greater London and the
centre of the United Kingdom. They can differ from those identified for the
road networks, which shows the absence of a systematic correlation between
the ways in which these two networks were rolled out. Luxembourg and the
region around Metz also have a dense concentration of networks. This area
holds a central position in the continental part of the area we studied.
Last but not least, we must not forget that the English, German and Belgian
railway networks are among the densest in North-Western Europe.
High Medium Low
No data**
Railway regions
Perimeter
North-West Europe area
*only are considered the relevant infrastructure
for high level of freight transportation
**no data can mean no infrastructures or
no infrastructures relevant for high level of
freight transportation
Data sources: Weastflows project,
powered by AURH
Luxembourg
and Metz area
Mannheim and
Ludwigshafen
Shetland, Scotland Shetland
Type of railway concentration*
High Medium Low
No data**
Contextual information
North-Western Europe
* only relevant freight transport infrastructures have been considered
** no data can means no infrastructure or no infrastructure relevant for
freight transportation
Concentration de réseau ferroviaire*
Railway region
20 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
21. Transport hubs: grid analysis method
Bristol - Cardiff
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Data sources: Weastflows project,
powered by AURH
Newcastle and Durham
Manchester - Liverpool - Leeds axis
London area
Seine Valley
Belgium, Netherlands
and Rhine basin
Luxembourg
and Metz area
Rhine
Valley
Glasgow - Edinburgh axis
Shannon, Limerick
and Cork
Portsmouth and Southampton
terminals
No data**
infrastructure
transportation
infrastructures or
level of
Shetland, Scotland Shetland
A geographical readout of the cumulated concentrations of port, railway and
airport hubs highlights the regions of connection where the passage from one
mode of transport to another could possibly be facilitated by the presence
of infrastructures allowing load splitting. Eleven areas have been identified.
The Netherlands, Belgium and the Northern part of the Rhine River Basin
are the first sub-assembly, both in continuity and in regularity, highlighting a
dense concentration.
The Seine River Valley and Rhine River Valley make up two similar areas,
which can be explained by the presence of two large rivers. The longitudinal
breakdown of transport hubs highlights a predisposition to value a multimodal
transport corridor, such as those found in the most Northern part of the United
Kingdom: the Glasgow-Edinburgh axis and the Liverpool-Manchester-Leeds
axis. It also must be noted that the Liverpool-Manchester-Leeds axis acts as
an interface between the North and South of the country.
The four remaining areas, (London, Portsmouth, Luxembourg and Shannon-
Cork), are the most compact but not the least dense, which brings us back
to our hub logic. The position of the Luxembourg-Metz area must also be
highlighted, as it is used as a central subsystem, as is the Rhine River Valley.
Type of node concentration*
High No data**
Contextual information
North-Western Europe
Concentration de noeuds*
basée sur les ports et les terminaux ferroviaires
Nodes region
based on port nodes and railway terminals
Medium Low
* only relevant freight transport infrastructures have been considered
** no data can means no infrastructure or no infrastructure relevant for
freight transportation
Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014 21
23. Cross analysis of infrastructure concentrations
The accumulation of strong infrastructures
allows us to identify several regional hubs.
The Benelux / Rhine River Basin area is the
most concentrated. It is characterised by a
strong continuity of multimodal networks,
leading it to be seen as a very connected
region with heavy flows.
The Seine River Valley is one of the few
regions, with Benelux and the Rhine
River Basin, where modal changes could
take place massively towards rivers and
railways. The map however, highlights an
insular region, poorly connected to the rest
of Europe.
In the United Kingdom, three regions show
strong road/railway concentrations. The
Greater London region is connected to
the continent by the Channel Tunnel, thus
creating continuity with Benelux and the
Rhine River Basin. Glasgow-Edinburgh
holds a peripheral position, whilst the
Centre of the United Kingdom region holds
a central place for the United Kingdom,
though a secondary one at the North-
Western European scale.
Lastly, peripheral regions characterised by
weak concentration have been identified:
Western France, Ireland and the North of
the United Kingdom.
d’infrastructures* Shetland, Scotland Shetland
$ Data sources: Weastflows project,
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Centre of United Kingdom
London area
Seine Valley
Benelux
and Rhine basin
Glasgow - Edinburgh axis
Saône Valley
concentrations
noeuds
routier,
routier
fluvial
routier
d’infrastructures
transport
transport
pour cette
n’y a pas
d’infrastructure
Infrastructure concentrations*
from crossing the highest network
and nodal concentrations
Multimodal concentrations
High concentration of ports and
railway terminals
High concentration of road, railway
and inland waterway networks
Bimodal concentrations
High concentration of road and railway
networks
High concentration of railway and
inland waterway networks
Single mode concentrations
High concentration of inland waterway
networks
High concentration of road networks
Cumulated infrastructure concentrations
Infrastructure region
Contextual information
North-Western Europe
No data**
* only relevant freight transport infrastructures have
been considered
** no data can mean no infrastructures or no
infrastructure relevant for
freight transportation
Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014 23
24.
25. Part 2
Focus on each of the eleven
remarkable areas
in North-Western Europe
26. About quantitative and qualitative analysis
Why use quantitative and qualitative analysis?
Quantitative and qualitative analysis completes The Atlas of Major North-West European
Freight Infrastructures which presented the state of the existing and upcoming freight transport
network. It is based on a series of indicators that highlight:
• strengths and weaknesses of the infrastructure network;
• the potential the network has to be sustainable;
• under-used potentials that could identify alternative routes instead of the traditional
North/South routes.
What geographical areas are concerned by this analysis?
This analysis concerns eleven remarkable areas in North-Western Europe (NWE). They
correspond to areas interesting Weastflows’ partners and highlight regions that are intense
and/or strategic in the organisation of freight transport. For these reasons, some zones are
not identified and thus are not included in a regional analysis (cf. map).
What data was used?
The analysis was carried out using data from the Geographical Information System built by
AURH. Data included: road, railway and inland waterway networks, ferry routes, as well
as remarkable hubs such as ports, railway terminals and airports. This basic data was
then enriched with qualitative information such as population density, land use, port traffic,
intermodality levels, projects of infrastructures and whether or not the network belonged to
the strategic European network (TEN-T), thus allowing crossed analyses.
How were the indicators defined?
The indicators were defined through a dialogue with project partners in compliance with the
following criteria:
• their relevance in showing sustainability of the existing infrastructure network;
• their capacity to ensure continuity with The Atlas of Major North-West European
Freight Infrastructures;
• the availability and accessibility of data in the Geographical Information System.
What were the results?
A series of 57 indicators was drawn up. With these indicators, the key characteristics of the
remarkable regional infrastructure network in each area can be described. Each of these
areas has a specific sheet including:
• a table with all the associated indicators and data,
• a map with the main transport infrastructures,
• and a comment on the characteristics of the area, the infrastructure network, remarkable
hubs as well as its strengths and weaknesses.
The table below show in a synthetic manner the finality of the analysis and the type of
indicators that correspond.
A precise description of these indicators is presented pages 28 and 29.
Category Goal of the analysis Indicators
Regional
characteristics Key regional characteristics
26 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
• Area
• Number of inhabitants
• Density
• Land use
• Maritime port traffic
Networks
(inland
waterways,
railways and roads)
Accessibility and connection
Continuities and discontinuities
Size of infrastructures
• Belonging to the central European
network (TEN-T)
• Network density
• Electrification of railway network
• Share of motorways or dual
carriageways
• ECMT classification (inland
waterways)
Hubs
(Airports, ports,
railway terminals)
Accessibility and connection
Intermodality
• Level of intermodality
• Proximity of strategic European
networks (TEN-T)
• Number of hubs registered in the
central TEN-T core network
• Ferry connections
28. Lists and descriptions of indicators 1
Indicator Description
ID card
Acreage
Area Area of geographical right-of-way
% of the region Share of the geographical zone as compared with the total in NWE
Demography
Number of inhabitants Number of inhabitants in the geographical area
% of inhabitants Share of inhabitants in the geographical zone as compared with the total in NWE
Population density Number of inhabitants per square kilometre
Land use
Urbanised land Total urbanised land including land used for industry and transport
% of urbanised land Share of the urbanised land of the geographical zone as compared with the total in NWE, including land used for industry and
transport
Dedicated industrial land Total area of dedicated industrial land
% of dedicated industrial land Share of the dedicated industrial land in the geographical zone as compared with the total in NWE
Maritime traffic
Maritime traffic Total maritime traffic in thousands of tonnes
% of maritime traffic Share of the maritime traffic in the geographical zone as compared with the total in NWE
Hubs
Ports
Ports Total number of ports (maritime ports and inland ports)
Only main sites are considered
% of ports Share of ports in the geographical zone as compared with the total in NWE
Maritime ports Number of maritime ports
Ferry ports Number of ports with ferry links
Inland ports Number of inland ports
Ports in the central TEN-T core network Number of maritime and inland ports in the central TEN-T core network
Ports with a channel that is over 15 m deep Number of ports with a channel that is over 15 m deep
Level of
intermodality of
ports
Ports with over three modal connections Number of ports with over three modal connections (river, rail, road, pipeline)
Ports with three modal connections Number of ports with three modal connections (river, rail, road)
Ports with two modal connections Number of ports with two modal connections (rail and road)
Proximity of ports
to the central
RTE-T network
Proximity of the European road network
Number of ports near a European level road network (central TEN-T core network)
Proximity to a strategic network is calculated as being in a 10 km radius around the port
Proximity of the European railway network Number of ports near a European level railway network (central TEN-T core network)
Proximity to a strategic network is calculated as being in a 10 km radius around the port
Proximity of the European inland waterway network
Number of ports near a European level inland waterway network (central TEN-T core network)
Proximity to a strategic network is calculated as being in a 10 km radius around the port
Airports
Airports Number of airports with freight traffic
% of airports Share of airports in the geographical zone as compared with the total in NWE
Airports in the central TEN-T core network Number of airports in the central TEN-T core network
Level of
intermodality of
Airports
Airports with a rail/road connection Number of airports with a rail/road connection
28 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
29. Indicator Description
Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014 29
Hubs
Proximity of
airports to the
central RTE-T
network
Proximity of the European road network Number of airports near a European level road network (central TEN-T core network)
Proximity to a strategic network is calculated as being in a 20 km radius around the airport
Proximity of the European railway network Number of airports near a European level railway network (central TEN-T core network)
Proximity to a strategic network is calculated as being in a 20 km radius around the airport
Proximity of the European inland waterway network Number of airports near a European level inland waterway network (central TEN-T core network)
Proximity to a strategic network is calculated as being in a 20 km radius around the airport
Proximity to a maritime port Number of airports near a maritime port
Proximity to a maritime port is calculated as being in a 20 km radius around the airport
Railway terminals
Railway terminals Number of railway terminals
Maritime and inland waterway ports with a railway terminal are taken into account
% of railway terminals Number of railway terminals integrated into the central TEN-T core network
Railway terminals in the central TEN-T core network Number of railway terminals integrated into the central TEN-T core network
Level of
intermodality of
railway terminals
Railway terminals with a sea/road connection Number of railway terminals connected to a maritime port and to the road network
Railway terminals with an inland waterway/road connection Number of railway terminals connected to a river port and to the road network
Railway terminals with a railway/road connection Number of railway terminals with a railway/road connection
Proximity of railway
terminals to the
central RTE-T
network
Proximity of the European road network Number of railway terminals near a European level road network (central TEN-T core network)
Proximity to a strategic network is calculated as being in a 20 km radius around a railway terminal
Proximity of the European railway network Number of railway terminals near a European level railway network (central TEN-T core network)
Proximity to a strategic network is calculated as being in a 20 km radius around a railway terminal
Proximity of the European inland waterway network Number of railway terminals near a European level inland waterway network (central TEN-T core network)
Proximity to a strategic network is calculated as being in a 20 km radius around a railway terminal
Networks
Inland waterway
network
Navigable length of network Total length in km of the inland waterway network
% of navigable inland waterways Share of the inland waterway network in the geographical zone as compared with the total in NWE
Density of navigable inland waterways Number of km of inland waterway network for a 1,000 km2 area
% of navigable inland waterways with a large clearance (ECMT
class equal or exceeding V) Share of inland waterway network with a ECMT classification exceeding or equalling V
% of navigable inland waterways registered in the central TEN-T
core network Share of navigable inland waterways registered in the central TEN-T core network
Railway network
Length of railway network Total length of railway network in km
Unused railways are not taken into account
% of railway network Share of the railway network in the geographical zone as compared with the total in NWE
Density of the railway network Number of km of railway network for a 1,000 km2 area
% of electrified railway network Share of electrified railway network
% of railway network registered in the central TEN-T core network Share of railway network registered in the central TEN-T core network
Road network
Length of the road network Total length in km of the road network
Only main roads that can be used to transport freight, are taken into account
% of road network Share of the road network in the geographical zone as compared with the total in NWE
Density of the road network Number of km of road network for a 1,000 km2 area
% of motorways Share of motorways in the road network
The motorway network corresponds to high-speed roads, including toll ways, that are accessed by a motorway junction
% of dual carriageway network
Share of the road network that is a dual carriageway or motorway
The motorway network corresponds to high-speed roads, which are accessed by a motorway junction, but are not toll
ways. The dual carriageway network corresponds to roads with 2 lanes, with no tolls and with no motorway junction.
% of the road network registered in the central TEN-T core network Share of road network registered in the central TEN-T core network
30. Identity card
Area Demography Land use Maritime traffic
69,884 km² corresponding to 4,076,557 inhabitants corresponding to 1,594 km² urbanised land corresponding to 2.5% of NWE 42,325 Mt corresponding to
8.6% of NWE 2.3% of NWE 183 km² dedicated to industry corresponding to 3.1% of NWE maritime traffic
58 inhabitants per km² 11.5% of urbanised land
2.1 Ireland
Nodes Network
P ort nodes: 18 corresponding to 7% of NWE Inland waterways: 0 km corresponding to 0% of NWE and to 0 km for 1,000 km²
18 seaports 4 ferry ports 0 % are CEMT Class V and over
0 inland port 0 % are part of main European network (part of the ʺTEN-T coreʺ network)
2 are major European ports (part of the ʺTEN-T coreʺ network)
2 have a channel depth of over 51 feet (15m) Railway network: 1,762 km corresponding to 4.5% of NWE and to 25,2 km for 1,000 km²
Level of intermodality Proximity to strategic networks 7.9 % are electrified networks
0 port with more than 3 modes 3 ports are near the strategic road network 23.5 % are part of main European network (part of the ʺTEN-T coreʺ network)
6 ports with 3 modes 1 port is near the strategic rail network
12 ports with 2 modes 0 port is near the strategic inland Road network: 1,450 km corresponding to 10.6% of NWE and to 20,7 km for 1,000 km²
waterway network 68 % are motorway
32 % are dual carriageways or freeways
Railway terminals: 21 corresponding to 4.8% of NWE 42 % are part of main European network (part of the ʺTEN-T coreʺ network)
0 railway bi-modal terminal is major European terminal (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic network
20 with rail/road connection link to a seaport 0 terminal is near the strategic road network
0 with rail/road connection link to an inland port 0 terminal is near the strategic rail network
1 railway bi-modal (rail/road) terminal 0 terminal is near the strategic inland
waterway network
Airport nodes: 8 corresponding to 8.7% of NWE
2 are major European airports (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic networks
0 airport with rail/road connection 2 airports are near the strategic road network
2 airports are near the strategic rail network
0 airport is near the strategic
inland waterway network
Sources : The Atlas of Major North-West European Freight Infrastructures
(Weastflows, AURH processing)
2 airports are near the maritime port
30 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
32. 2.2 Shannon-Limerick Gateway
Identity card
Area Demography Land use Maritime traffic
7,968 km² corresponding to 373,473 inhabitants corresponding to 146 km² urbanised land corresponding to 0.2% of NWE 9,134 Mt corresponding to
1.0% of NWE 0.2% of NWE 20 km² dedicated to industry corresponding to 0.7% of NWE maritime traffic
47 inhabitants per km² 32.2% of urbanised land
Nodes Network
P ort nodes: 1 corresponding to 0.4% of NWE Inland waterways: 0 km corresponding to 0% of NWE and to 0 km for 1,000 km²
1 seaport 0 ferry port 0 % are CEMT Class V and over
0 inland port 0 % are part of main European network (part of the ʺTEN-T coreʺ network)
1 is major European port (part of the ʺTEN-T coreʺ network)
1 have a channel depth of over 51 feet (15m) Railway network: 362 km corresponding to 0.9% of NWE and to 45,4 km for 1,000 km²
Level of intermodality Proximity to strategic networks 26 % are electrified networks
0 port with more than 3 modes 1 port is near the strategic road network 50 % are part of main European network (part of the ʺTEN-T coreʺ network)
0 port with 3 modes 0 port is near the strategic rail network
1 port with 2 modes 0 port is near the strategic inland Road network: 384 km corresponding to 0.9% of NWE and to 48,2km for 1,000 km²
waterway network 80 % are motorways
20 % are dual carriageways or freeways
Railway terminals: 2 corresponding to 0.5% of NWE 69 % are part of main European network (part of the ʺTEN-T coreʺ network)
0 railway bi-modal terminal is major European terminal (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic networks
1 with rail/road connection link to a seaport 0 terminal is near the strategic road network
0 with rail/road connection link to an inland port 0 terminal is near the strategic rail network
1 railway bi-modal (rail/road) terminal 0 terminal is near the strategic inland
waterway network
Airport nodes: 1 corresponding to 1.1% of NWE
0 is major European airport (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic networks
1 airport with rail/road connections 1 airport is near the strategic road network
0 airport is near the strategic rail network
0 airport is near the strategic
inland waterway network
Sources : The Atlas of Major North-West European Freight Infrastructures
(Weastflows, AURH processing)
1 airport is near the maritime port
32 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
34. 2.3 Scotland
Identity card
Area Demography Land use Maritime traffic
77,395 km² corresponding to 5,159,128 inhabitants corresponding to 2,067 km² urbanised land corresponding to 3.3% of NWE 30,295 Mt corresponding to
9.5% of NWE 2.9% of NWE 328 km² dedicated to industry corresponding to 2.2% of NWE maritime traffic
67 inhabitants per km² 15.8% of urbanised land
Nodes Network
P ort nodes: 35 corresponding to 13.6% of NWE Inland waterways: 0 km corresponding to 0% of NWE and to 0 km for 1,000 km²
35 seaports 9 ferry ports 0 % are CEMT Class V and over
0 inland port 0 % are part of main European network (part of the ʺTEN-T coreʺ network)
2 are major European ports (part of the ʺTEN-T coreʺ network)
1 have a channel depth of over 51 feet (15m) Railway network: 2,216 km corresponding to 5.6% of NWE and to 28,6 km for 1,000 km²
Level of intermodality Proximity to strategic networks 20 % are electrified networks
0 port with more than 3 modes 3 ports are near the strategic road network 25 % are part of main European network (part of the ʺTEN-T coreʺ network)
7 ports with 3 modes 4 ports are near the strategic rail network
28 ports with 2 modes 0 port is near the strategic inland Road network: 1,042 km corresponding to 2.5% of NWE and to 13,4 km for 1,000 km²
waterway network 39 % are motorways
61 % are dual carriageways or freeways
Railway terminals: 52 corresponding to 11.9% of NWE 33 % are part of main European network (part of the ʺTEN-T coreʺ network)
0 railway bi-modal terminal is major European terminal (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic networks
45 with rail/road connection link to a seaport 3 terminals are near the strategic road network
0 with rail/road connection link to an inland port 5 terminals are near the strategic rail network
7 railway bi-modal (rail/road) terminal 0 terminal is near the strategic inland
waterway network
Airport nodes: 14 corresponding to 15.2% of NWE
2 are major European airports (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic networks
0 airport with rail/road connections 3 airports are near the strategic road network
3 airports are near the strategic rail network
0 airport is near the strategic
inland waterway network
Sources : The Atlas of Major North-West European Freight Infrastructures
(Weastflows, AURH processing)
2 airports are near the maritime port
34 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
36. 2.4 Liverpool and the west coast
Identity card
Area Demography Land use Maritime traffic
14,180 km² corresponding to 6,886,010 inhabitants corresponding to 2,053 km² urbanised land corresponding to 9.1% of NWE 34,618 Mt corresponding to
1.7% of NWE 3.9% of NWE 277 km² dedicated to industry corresponding to 2.6% of NWE maritime traffic
486 inhabitants per km² 13% of urbanised land
Nodes Network
P ort nodes: 7 corresponding to 2.7% of NWE Inland waterways: 53 km corresponding to 0.5% of NWE and to 3,7 km for 1,000 km²
7 seaports 2 ferry ports 100 % are CEMT Class V and over
0 inland port 0 % are part of main European network (part of the ʺTEN-T coreʺ network)
1 is major European port (part of the ʺTEN-T coreʺ network)
0 have a channel depth of over 51 feet (15m) Railway network: 1 162 km corresponding to 3.0% of NWE and to 81,9 km for 1,000 km²
Level of intermodality Proximity to strategic networks 39 % are electrified networks
0 port with more than 3 modes 1 port is near the strategic road network 40 % are part of main European network (part of the ʺTEN-T coreʺ network)
4 ports with 3 modes 2 ports are near the strategic rail network
3 ports with 2 modes 0 port is near the strategic inland Road network: 863 km corresponding to 2.0% of NWE and to 60,8 km for 1,000 km²
waterway network 78 % are motorways
22 % are dual carriageways or freeways
Railway terminals: 26 corresponding to 6.0% of NWE 49 % are part of main European network (part of the ʺTEN-T coreʺ network)
0 railway bi-modal terminal is major European terminals (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic network
8 with rail/road connection link to a seaport 17 terminals are near the strategic road network
0 with rail/road connection link to an inland port 17 terminals are near the strategic rail network
18 railway bi-modal (rail/road) terminal 0 terminal is near the strategic inland
waterway network
Airport nodes: 4 corresponding to 4.3% of NWE
1 is major European airport (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic networks
1 airport with rail/road connections 3 airports are near the strategic road network
3 airports are near the strategic rail network
0 airport is near the strategic
inland waterway network
Sources : The Atlas of Major North-West European Freight Infrastructures
(Weastflows, AURH processing)
1 airport is near the maritime port
36 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
38. 2.5 Greater London and central England
Identity card
Area Demography Land use Maritime traffic
31,666 km² corresponding to 21,342,074 inhabitants corresponding to 5,766 km² urbanised land corresponding to 0% of NWE 116,762 Mt corresponding to
3.9% of NWE 12.1% of NWE 619 km² dedicated to industry corresponding to 8.6% of NWE maritime traffic
674 inhabitants per km² 10% of urbanised land
Nodes Network
P ort nodes: 14 corresponding to 5.4% of NWE Inland waterways: 63,6 km corresponding to 0.6% of NWE and to 2,0 km for 1,000 km²
14 seaports 5 ferry ports 54.7 % are CEMT Class V and over
0 inland port 0 % are part of main European network (part of the ʺTEN-T coreʺ network)
3 are major European ports (part of the ʺTEN-T coreʺ network)
1 have a channel depth of over 51 feet (15m) Railway network: 3,893 km corresponding to 9.9% of NWE and to 122,9 km for 1,000 km²
Level of intermodality Proximity to strategic networks 53 % are electrified networks
1 port with more than 3 modes 5 ports are near the strategic road network 32 % are part of main European network (part of the ʺTEN-T coreʺ network)
5 ports with 3 modes 7 ports are near the strategic rail network
8 ports with 2 modes 0 port is near the strategic inland Road network: 2,467 km corresponding to 5.8% of NWE and to 77,9 km for 1,000 km²
waterway network 47 % are motorways
53 % are dual carriageways or freeways
Railway terminals: 26 corresponding to 6.0% of NWE 40 % are part of main European network (part of the ʺTEN-T coreʺ network)
1 railway bi-modal terminal is major European terminal (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic networks
9 with rail/road connection link to a seaport 5 terminals are near the strategic road network
0 with rail/road connection link to an inland port 8 terminals are near the strategic rail network
18 railway bi-modal (rail/road) terminal 0 terminal is near the strategic inland
waterway network
Airport nodes: 7 corresponding to 7.6% of NWE
5 are major European airports (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic network
2 airports with rail/road connections 3 airports are near the strategic road network
3 airports are near the strategic rail network
0 airport is near the strategic
inland waterway network
Sources : The Atlas of Major North-West European Freight Infrastructures
(Weastflows, AURH processing)
1 airport is near the maritime port
38 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
40. 2.6 Southern England
Identity card
Area Demography Land use Maritime traffic
9,623 km² corresponding to 4,527,877 inhabitants corresponding to 1,500 km² urbanised land corresponding to 2.4% of NWE 44,934 Mt corresponding to
1.2% of NWE 2.6% of NWE 83 km² dedicated to industry corresponding to 3.3% of NWE maritime traffic
471 inhabitants per km² 5.3% of urbanised land
Nodes Network
P ort nodes: 11 corresponding to 4.3% of NWE Inland waterways: 0 km corresponding to 0% of NWE and to 0 km for 1,000 km²
11 seaports 8 ferry ports 0 % are CEMT Class V and over
0 inland port 0 % are part of main European network (part of the ʺTEN-T coreʺ network)
2 are major European ports (part of the ʺTEN-T coreʺ network)
0 have a channel depth of over 51 feet (15m) Railway network: 794 km corresponding to 2.0% of NWE and to 82,4 km for 1,000 km²
Level of intermodality Proximity to strategic networks 72 % are electrified networks
0 port with more than 3 modes 3 ports are near the strategic road network 10 % are part of main European network (part of the ʺTEN-T coreʺ network)
3 ports with 3 modes 1 port is near the strategic rail network
8 ports with 2 modes 0 port is near the strategic inland Road network: 707 km corresponding to 1.7% of NWE and to 73,4 km for 1,000 km²
waterway network 32 % are motorways
68 % are dual carriageways or freeways
Railway terminals: 10 corresponding to 2.3% of NWE 25 % are part of main European network (part of the ʺTEN-T coreʺ network)
0 railway bi-modal terminal is major European terminal (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic networks
3 with rail/road connection link to a seaport 1 terminal is near the strategic road network
0 with rail/road connection link to an inland port 1 terminal is near the strategic rail network
1 railway bi-modal (rail/road) terminal 0 terminal is near the strategic inland
waterway network
Airport nodes: 3 corresponding to 3.3% of NWE
1 is major European airport (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic networks
0 airport with rail/road connections 2 airports are near the strategic road network
2 airports are near the strategic rail network
0 airport is near the strategic
inland waterway network
Sources : The Atlas of Major North-West European Freight Infrastructures
(Weastflows, AURH processing)
1 airport is near the maritime port
40 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
42. 2.7 Southern Netherlands
Identity card
Area Demography Land use Maritime traffic
26,899 km² corresponding to 14,776,966 inhabitants corresponding to 4,390 km² urbanised land corresponding to 6.9% of NWE 485,661 Mt corresponding to
3.3% of NWE 8.4% of NWE 672 km² dedicated to industry corresponding to 36.0% of NWE maritime traffic
549 inhabitants per km² 14.1% of urbanised land
Nodes Network
P ort nodes: 20 corresponding to 7.8% of NWE Inland waterways: 1,347 km corresponding to 12.0% of NWE and to 50,0 km for 1,000 km²
12 seaports 3 ferry ports 81 % are CEMT Class V and over
8 inland ports 75 % are part of main European network (part of the ʺTEN-T coreʺ network)
7 are major European ports (part of the ʺTEN-T coreʺ network)
2 have a channel depth of over 51 feet (15m) Railway network: 2,210 km corresponding to 5.6% of NWE and to 82,1 km for 1,000 km²
Level of intermodality Proximity to strategic networks 83 % are electrified networks
2 ports with more than 3 modes 8 ports are near the strategic road network 42 % are part of main European network (part of the ʺTEN-T coreʺ network)
9 ports with 3 modes 7 ports are near the strategic rail network
9 ports with 2 modes 15 ports are near the strategic inland Road network: 2,208 km corresponding to 5.2% of NWE and to 82,0 km for 1,000 km²
waterway network 99 % are motorways
1 % are dual carriageways or freeways
Railway terminals: 25 corresponding to 5.7% of NWE 35 % are part of main European network (part of the ʺTEN-T coreʺ network)
0 railway bi-modal terminal is major European terminal (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic network
14 with rail/road connection link to a seaport 2 terminals are near the strategic road network
9 with rail/road connection link to an inland port 1 terminal is near the strategic rail network
2 railway bi-modal (rail/road) terminal 0 terminal is near the strategic inland
waterway network
Airport nodes: 5 corresponding to 5.4% of NWE
2 are major European airports (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic networks
2 airports with rail/road connections 4 airports are near the strategic road network
3 airports are near the strategic rail network
2 airports are near the strategic
inland waterway network
Sources : The Atlas of Major North-West European Freight Infrastructures
(Weastflows, AURH processing)
1 airport is near the maritime port
42 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014
44. 2.8 Benelux and Eastern France
Identity card
Area Demography Land use Maritime traffic
105,747 km² corresponding to 17,562,943 inhabitants corresponding to 9,768 km² urbanised land corresponding to 15.4% of NWE 198,783 Mt corresponding to
12.9% of NWE 10.0% of NWE 1,212 km² dedicated to industry corresponding to 14.7% of NWE maritime traffic
166 inhabitants per km² 12.4% of urbanised land
Nodes Network
P ort nodes: 21 corresponding to 8.1% of NWE Inland waterways: 3,966 km corresponding to 36.0% of NWE and to 37,5 km for 1,000 km²
3 seaports 2 ferry ports 39 % are CEMT Class V and over
18 inland ports 55 % are part of main European network (part of the ʺTEN-T coreʺ network)
11 are major European ports (part of the ʺTEN-T coreʺ network)
0 have a channel depth of over 51 feet (15m) Railway network: 7,019 km corresponding to 17.8% of NWE and to 66,3 km for 1,000 km²
Level of intermodality Proximity to strategic networks 72 % are electrified networks
4 ports with more than 3 modes 17 ports are near the strategic road network 48 % are part of main European network (part of the ʺTEN-T coreʺ network)
17 ports with 3 modes 17 ports are near the strategic rail network
0 port with 2 modes 21 ports are near the strategic inland Road network: 4,503 km corresponding to 10.6% of NWE and to 45,5 km for 1,000 km²
waterway network 82 % are motorways
17 % are dual carriageways or freeways
Railway terminals: 40 corresponding to 9.2% of NWE 44 % are part of main European network (part of the ʺTEN-T coreʺ network)
1 railway bi-modal terminal is major European terminal (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic networks
3 with rail/road connection link to a seaport 7 terminals are near the strategic road network
26 with rail/road connection link to an inland port 9 terminals are near the strategic rail network
11 railway bi-modal (rail/road) terminal 7 terminals are near the strategic inland
waterway network
Airport nodes: 9 corresponding to 9.8% of NWE
2 are major European airports (part of the ʺTEN-T coreʺ network)
Level of intermodality Proximity to strategic network
3 airports with rail/road connections 9 airports are near the strategic road network
8 airports are near the strategic rail network
5 airports are near the strategic
inland waterway network
Sources : The Atlas of Major North-West European Freight Infrastructures
(Weastflows, AURH processing)
2 airports are near the maritime port
44 Analytical atlas - Freight transport in North-Western Europe: regional dynamics, infrastructure and inter-regional exchanges - AURH - September 2014