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European Commission
DG MOVE - Directorate B
ESPO Meeting
STUDY ON SUPPORT MEASURES FOR THE IMPLEMENTATION OF THE TEN-T CORE NETWORK RELATED TO SEA PORTS, INLAND PORTS AND INLAND WATERWAY TRANSPORT
Lot 1: Assessment of market potential for inland ports and IW business
Interim Results Task A1 - Analysis of major geopolitical and technological developments affecting the future development of the EU seaport system
CONTRACT No. MOVE/B3/SER/2015-224/SI2.721484
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Summary
19/04/2016 Summary
1. Aim of Task A1
3. Identification of major geopolitical, economic and trade issues
4. Identification of major technological and organizational and logistical issues
2. Definition of Port Segmentation Criteria
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1. Aim of Task A1
► Task A1.1 - Definition of distinguishing criteria for Seaports, Inland Ports
and Inland Waterway Segments
► Task A1.2 - Analysis of past and current geopolitical, economic and trade
issues and derivation of a trend projection for future
development
► Task A1.3 - Analysis of major technological and organizational and
logistical issues that will effect the transport flows on the
TEN-T network and estimation how they will influence the
different transport modes
19/04/2016 Welcome and introduction
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2. Definition of Port Segmentation Criteria –
Task A1.1
19/04/2016 Progress on: A1.1
Progress
► Framework was developed on port
segmentation (seaports and inland ports)
regarding different criteria
► In the Work Package ports and IWWs will be
segmented along different aspects:
► Overall throughput / Size
► Market share per (main) commodity
and for different geographical markets
► Origins and destinations (share short
Sea & Deep Sea, focus of ports on
different regions)
► Multimodal (hinterland) connectivity
► IWW characteristica
► Data collection has been performed. A large
database has been set up around the
detailed Eurostat Maritime database
Issues
► A harmonized database on multimodal
hinterland shares in throughput is not
available.
► Proposed is to use the information and
indicators on hinterland connectivity that has
been published in the corridor studies,
A1.1
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Task A1.1
Distinguishing Criterion 1 – Throughput (Size)
Atlantic Baltic
Sea
Black Sea East.
Med.
North Sea West.
Med.
Ports >
50.000
million Ton
throughput
Le Havre,
Immingham
Rotterdam,
Antwerp,
Hamburg,
Amsterdam,
Bremer-
haven
Algeciras,
Marseille,
Valencia
Ports >
20% market
share per
sea basin
Constanta,
Burgas
Peiraias Rotterdam
Ports 5-
20% market
share per
sea basin
Le Havre,
Immingham
Riga,
Klaipeda,
Gdansk,
Tallinn,
Ventspils
Varna,
Midia
Agioi
Theodoroi,
Koper,
Elefsina,
Thessa-
loniki,
Megara
Antwerp,
Hamburg,
Amsterdam
Algeciras,
Marseille,
Valencia,
Trieste,
Genova
19/04/2016 Progress on: A1.1
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Task A1.1
Distinguishing Criterion 2 – Cargo Type
Atlantic Baltic Sea Black Sea East. Med. North Sea West. Med.
Ports >5% market
share in dry bulk
goods (in bold
>20%)
Dunkerque,
Immingham,
Narvik
Riga, Klaipeda,
Gdansk,
Ventspils,
Kokkola
Constanta,
Burgas, Varna
Koper,
Thessaloniki,
Larymna, Volos,
Elefsina,
Amaliapolis
Magnisias
Rotterdam,
Amsterdam,
Hamburg, Gent,
Antwerpen
Marseille,
Taranto,
Tarragona,
Ravenna,
Venezia
Ports >5% market
share in liquid
bulk goods (in
bold >20%)
Le Havre,
Bergen, Milford
Have,
Southampton,
Tees &
Hartlepool,
Immingham
Sköldvik, Tallinn,
Ventspils,
Gdansk, Riga,
Klaipeda, Butinge
Burgas Midia,
Constanta
Agioi Theodoroi,
Elefsina, Megara,
Thessaloniki,
Omisalj
Rotterdam,
Antwerpen,
Amsterdam
Marseille, Trieste,
Cartagena,
Algeciras,
Augusta, Porto
Foxi, Tarragona,
Huelva
Ports >5% market
share in
containers (in
bold >20%)
Felixstowe, Le
Havre, Sines,
Southampton,
London
Gdansk, Gdynia,
Klaipeda,
HaminaKotka,
Riga, Helsinki
Constanta,
Varna, Burgas
Peiraias, Koper,
Thessaloniki
Rotterdam,
Antwerpen,
Hamburg,
Bremerhaven
Algeciras,
Valencia, Gioia
Tauro, Genova,
Barcelona
Ports >5% market
share in Ro-Ro
(in bold >20%)
Dover, Calais,
Immingham,
Dublin, London
Lübeck,
Trelleborg,
Rostock, Helsinki,
Swinoujscie
Costanta, Varna,
Midia
Peiraias,
Igoumenitsa,
Patra, Irakleio,
Antirrio, Rio,
Perama, Paloukia
Salaminas
Rotterdam,
Zeebrugge,
Göteborg, Rødby,
Antwerpen,
Helsingør,
Bremerhaven
Livorno, Messina,
Genova, Reggio
di Calabria,
Trieste,
Barcelona
19/04/2016 Progress on: A1.1
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Task A1.1
Distinguishing Criterion 3 – Intra-/Extra-EU Trade
19/04/2016 Progress on: A1.1
► Large ports are mainly focusing on the international market, while smaller
ports have a more regional character
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Task A1.1
Distinguishing Criterion 4 – Origin-Destinations
19/04/2016 Progress on: A1.1
►Origin
►Destination
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Task A1.1
Distinguishing Criterion 5 – Main Cargo Types
19/04/2016 Progress on: A1.1
► On average 70% of all throughput in a port is accounted to one cargo type
► There is no relation between the size of the port or the sea basin the port is in
and the degree of specialisation in cargo types
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Task A1.1 – Distinguishing Criterion 5
Example: Eastern Mediterranean
19/04/2016
► Clear segmentation between container port of Piraeus, the oil terminals in
Agioi Theoroi and the more general ports.
Progress on: A1.1
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Do you have any comments on the criteria?
19/04/2016 Summary
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3. Identification of major geopolitical, economic
and trade issues – Task A1.2
19/04/2016 Progress on: A1.2
Progress
Quantitative analysis :
► Past analysis (2000-2015) of "non-bulk" trade per
reporter (EU) and per partner (intra and extra EU) ;
► Past analysis (2000-2014) of Sea Ports traffic per
reporter (EU), per partner (intra and extra EU) and
per type of product (dry bulk, liquid bulk, container,
roro and general cargo) ;
► Past analysis (2000-2014) of IWW transport per
reporter (EU) and per type of traffic (national,
international and transit) ;
► Comparison with past GDP evolution for the same
period ;
► EU "non-bulk" trade projection and Sea Ports
container traffic projection in 2030 (estimation BG);
Qualitative analysis :
The economic context for analysis of transport trends :
general consideration for interpretation (draft report
A1.2)
Issues
► Comparison of trends between transport sources and
trade sources, and explanation of differences: double
counting, containerization rate evolution, change in
trade pattern, relative evolution of ports performance;
► Qualitative analysis of future developments regarding
the topics such as TTIP, competition with non-EU
ports etc.;
► Qualitative analysis of New Markets such as the
supply for the construction and maintenance of
offshore wind farm.
A1.1
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Task A1.2 Exemplary results
19/04/2016 Progress on: A1.2
A1.1
► Two main types of statistical sources, "transport sources" (Eurostat: Sea Ports and IWW
transport) and "trade sources" (Comext) ;
► Past trends for transport, in relation with evolution of major socio-economic indicators
(GDP)
Trends have been computed over a period of 15 years, putting forwards differences in trends
according to types of relations and types of products ;
A class of "non-bulk" trade products has been defined, which aggregates type of products
which can be transported within containers.
► Projected trends of transport activities, in relation with socio-economic scenarios
Scenarios provided by EU as reference (Eurostat, DG MOVE, DG ECFIN) ;
Major international organisations such as World Bank, IMF, UNCTAD, for international trade;
ITF (international Transport Forum) with the "Transport Outlook" ;
Major transport studies of DG MOVE including transport projections such as Naiade Studies.
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Task A1.2 Past analysis
19/04/2016 Progress on: A1.2
A1.1
► Non-Bulk trade (in tons) ► Sea Ports Traffic (in tons)
Per
Reporter
Per
Partner
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Task A1.2 Trend Comparison
19/04/2016 Progress on: A1.2
A1.1
Comparison of past trends
(annual growth rate 2000-2014%)
Comparison of past trends
(2000-2007 and 2007-2014)
► Breaks in trends
Indicator intra EU Extra EU Total
EU countries non bulk trade 2,2% 3,0% 2,4%
EU Sea Ports total traffic 0,9% 2,6% 1,7%
EU Sea Ports container traffic 4,0% 6,4% 5,5%
EU countries IWW traffic 1,1%
EU GDP volumes 1,2%
Indicator 2000-2007% 2007-2014% 2000-2014%
EU countries non bulk trade 3,8% 1,1% 2,4%
EU Sea Ports total traffic 3,9% -0,4% 1,7%
EU Sea Ports container traffic 8,4% 2,6% 5,5%
EU countries IWW traffic 1,3% 1,0% 1,1%
EU GDP volumes 2,3% 0,2% 1,2%
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Task A1.2 Projection in 2030
19/04/2016 Progress on: A1.2
A1.1
Non-Bulk trade projection (2030)
2000-
2015%
2015-
2030%
2000-
2015%
2015-
2030%
2000-
2015%
2015-
2030%
BE -0,8% 0,0% 2,8% 3,5% -0,1% 1,0%
DE 2,4% 1,9% 2,7% 2,5% 2,4% 2,0%
ES 1,9% 2,0% 3,4% 3,6% 2,3% 2,5%
FR 1,5% 1,5% 1,3% 1,6% 1,5% 1,5%
IT 0,1% 2,3% 2,5% 4,8% 0,8% 3,2%
NL 4,1% 4,6% 4,8% 4,0% 4,3% 4,4%
UK 0,5% 1,2% 3,3% 2,7% 1,3% 1,8%
EU15 1,8% 2,0% 2,8% 3,1% 2,1% 2,4%
EU13 5,3% 3,1% 2,7% 1,3% 4,7% 2,8%
EU28 2,1% 2,2% 2,8% 2,9% 2,3% 2,4%
Reporter
Intra EU Extra EU Total
2000-
2014%
2014-
2030%
2000-
2014%
2014-
2030%
2000-
2014%
2014-
2030%
BE 6,5% 0,0% 7,0% 3,0% 6,9% 2,5%
DE 4,3% 2,0% 6,6% 2,3% 5,9% 2,2%
ES 2,3% 1,9% 8,7% 3,8% 6,3% 3,3%
FR 2,6% 1,4% 4,4% 1,4% 3,8% 1,4%
IT 5,5% 2,4% 1,8% 4,8% 3,5% 3,7%
NL 1,9% 3,9% 6,4% 3,6% 5,2% 3,7%
UK 0,8% 1,4% 1,7% 2,6% 1,3% 2,1%
Ports EU15 3,5% 1,8% 6,2% 3,1% 5,2% 2,7%
Ports EU13 11,2% 3,2% 18,1% 1,1% 13,3% 2,4%
Ports EU28 4,0% 2,0% 6,4% 3,0% 5,5% 2,7%
Intra EU Extra EU Total
Reporter
Sea Ports Container traffic projection (2030)
The technique used for trade projection is
► With first a trend projection calibrated on time series ;
► And then adjustment to trends provided by EU concerning projections of GDP growth per country, which means using the elasticity estimated for the past period between trade growth and GDP growth, per country.
The Non-Bulk trade growth is applied for Sea Ports Container traffic projection, per country.
(in recent years, stability of containerization rate for
EU Sea traffic by partner, Asia 95%, MED 90%, North
America 85%, Africa 75% and South America 70%).
Country BE DE ES FR IT NL UK EU15 EU13 EU28
2000-
2014%1,4% 1,1% 1,3% 1,1% -0,1% 1,0% 1,7% 1,1% 3,1% 1,2%
2014-
2030%1,6% 0,8% 2,8% 1,9% 1,7% 1,6% 1,8% 1,7% 2,1% 1,7%
GDP projection (2030, DG MOVE)
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Do you have any other issues that you would like us to address? Can you send us relevant data / studies?
19/04/2016 Summary
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4. Identification of major technological, organi-
zational and logistical issues – Task A1.3
Progress on: A1.3
Progress
Carried out work
► Literature review of recent developments and
projects as well as future research
► Sources: Studies, research papers,
research programs, project
databases.
► Clustering of projects to categories per focus
area
► Qualitative estimation of the trends’ effects
on the transport system
► Work on the report has started
► Configuration of inputs and outputs for the
simulation models
Issues
► Detailed Analyses carried out so far for
► Vessels
► Seaports
► road transportation and
► railway transportation
► IWT needs to be analyzed (barges and inland
waterways)
Remark:
► Most organizational and logistic trends refer
to ICT applications and trends
► Difficult to discuss technological,
organizational and logistic trends individually
► IWT is influenced by other transport modes,
innovation is a topic for the whole transport
system! A1.1
19/04/2016
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Task 1.3
Thoughts for trend identification
► Idea 1: Technological trends lead to a reduction of operational costs which increases
competitiveness of transport modes, e.g.
► Automation: Less manning costs; less accidents; less wear etc.
► Ultra Large Vessels: Less costs per transported unit (ton, TEU)
► ICT / information sharing: Better utilization of equipment, less congestion, etc.
► Idea 2: Technological trends are a result of changing regulations and competition, e.g.
► Environmental regulations: Use of alternative fuels and new vessel concepts
► Port Cities
► Idea 3: Logistic and organizational trends result from technological developments
► Synchromodal organization of transport chains is only enabled by continuous information sharing
and ICT
► Cooperation of Seaports is also enabled by ICT use (e.g. common Port Community Systems)
► Transshipments as a result of Ultra Large Vessels
► Remark: Technological trends can also have negative effects (e.g. accessible seaports) and
technological improvements exist for all transport modes!
19/04/2016 Summary
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Vessels Seaports Road Railway /
Intermodal
Inland Waterway
Autonomous
shipping and drone
ships
Ultra Large
Vessels
Stricter environ-
mental regulations
(Fuels)
Interpretation and
use of data (STM)
Innovative Vessel
Designs (e.g.
VindSkip)
…
Automation of Port
Terminals
Green Ports
Smart Ports, Smart
Infrastructure
Terminal Networks
(Synchromodality)
Port Information
Security
Port Cities
…
Automation and
smart vehicles
Alternative fuels
for trucks
Increased
efficiency in
operations
Smart scheduling
and appointment
systems
ITS
…
Increased train
length
Alternative fuels
such as hydrogen
or LNG
Noise reduction
ERTMS
European freight
rail corridors
Intermodal rail
concepts
Logistic integration
and disintegration
…
Innovative Vessel
Designs
Automation of
inland waterway
vessels and inland
port operations
Alternative
(cleaner) fuels
ICT use
RIS
short distance
frequent services
…
19/04/2016
Task A1.3 Identified trends
Maritime Sector Hinterland Modes
Progress on: A1.3
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Do you have anything else in mind? Can you send us relevant data / studies?
19/04/2016 Summary
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19/04/2016 Thank you!
Thank you for your attention!