Supply and Demand Analysis - eesc.europa.eu · Supply & Demand Analysis 4 Trans-Tools Modelling...
Transcript of Supply and Demand Analysis - eesc.europa.eu · Supply & Demand Analysis 4 Trans-Tools Modelling...
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Technical, Socio-economic and Supply/Demand study regarding the transport of the FERRMED Great Rail Network (Scandinavia-Rhine-Rhône-Western Mediterranean)
Supply and Demand AnalysisPresented by Daniele Maroni - SENER
Consortium
www.wyg.com
Consortium
Supply & Demand Analysis2
Content
1. Scope of the S&D analysis
2. Simulation model (2005)
3. Future Scenarios
4. Forecasting (2020 and 2025)
5. Conclusions of the S&D analysis
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Consortium
Supply & Demand Analysis3
Framework
FERRM
ED G
lobal S
tudy
Supply/Demand
Data Collection
Technical
CBAEnvironmental
AdministrativeLegal
SUPPLY/DEMAND ANALYSIS
• FERRMED transport planning model building (base year 2005)
• Definition of 14 future scenarios (2020-2025)
• Simulation and traffic forecasting
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
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Supply & Demand Analysis4
Trans-Tools Modelling Platform
• Developed under EU funding
• Originally for evaluation of TEN-T projects
• Models passenger and freight transport across Europe
• Database (2000)
• transport variables
• socioeconomic variables
• networks
• services
• Largest European transport model
4 step transport planning model(macroscopic)
Trans-Tools provides a simulation tool for strategic analysis
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
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Supply & Demand Analysis5
0
Zoning System
• Passenger zoning system: NUTS III ~ 1,290 zones
• Freight zoning system: NUTS II ~ 295 zones
Passengers Freight
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
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Supply & Demand Analysis6
Transport Networks (I)
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
� Roads
� Motorways
� Dual carriageways
� Regular roads
� Urban arterials
� Ferries
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Supply & Demand Analysis7SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
� Railways (freight)
� Mixed lines
� Dedicated lines
Transport Networks (II)
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Supply & Demand Analysis8SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
� Railways (passenger)
� High speed lines
� Conventional lines
Transport Networks (III)
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Supply & Demand Analysis9SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
� Air
� Freight
maritime
transport
� Inland Waterways (IWW)
Transport Networks (IV)
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Supply & Demand Analysis10
Methodology
• Trans-Tools base year is 2000
• Transport costs updated to 2005 values
• FERRMED Study calibrated model against 2005 data
• External models built
• Trans-Tools limitations
• Study requirements
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Calibration
TransTools Model
Results
Passenger
Demand
Supply
Network
Data Collection
Freight Demand
Traffic Calculations
TransTools O/D Matrix
2000 by NSTR
Growth: Pop,
GDP,
Production,
Consumption
TransTools Freight Growth
Model
TransTools O/D Matrix
2005 by NSTR
EUROSTAT Data 2005Furness Algorhytm by
NSTR
FERRMED Freight O/D
Matrix 2005 by NSTR
Growth: Pop, GDP,
Employment, Car
ownership, travel costs
TransTools Passenger Growth
Model
TransTools O/D Matrix 2005
by
trip Purpose
TransTools Supply and
Network 2000
Update by
Country
TransTools Supply and
Network 2005
Freight Logistic
Model
Passenger Modal
SplitAssignment
Car/day on Road Links
Pax/day on rail links
Pax/day on air links
O/D Matrix 2005 by
NSTR and Mode
Road
Rail
IWW
SSS
O/D Matrix 2005 by
Mode and trip purpose
Road
Rail
Air
Freight
Modal
Split
Data Collection
Assignment Maps Road, Rail, IWW
Bottlenecks Maps
Conversion to # Trains:
Container
Single Wagon
Block
Rolling Motorway
Conversion to # Trains:
Intercity
High Speed
Commuters
NO NO
NO
OUTPUT
NO
OUTPUT
Final Calibration:Comparison with real traffic at link level for road, rail and IWW(main corridors and border crossings)
Satisfactory?
Traffic on road, rail and IWW links
YES
NO
NO
Conversion to IWW vessels
NO
NO
CBA
vehicles-km
speed
TECHNICAL
vehicle/day
ENVIRONMENT
vehicles-km
YES
YES
Freight Supply
Results
Final Calibration
NO
Pax
Trucks/day on Road Links
Ton/day on rail links
Ton/day on IWW by CEMT type
NO
TransTools Model
OUTPUT
Conversions
Intra Red Banana and
export to EU-25
Demand Model
Intra Country
Demand model
Ports Model
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Supply & Demand Analysis11
External models for freight demand
1. Intra Red Banana and export to EU 25
2. Internal Demand for Red Banana Countries
• At country level
• 4 production sectors
• Industry
• Agriculture
• Construction
• Energy
• Eurostat data
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
3. Port Flow Distribution Model
1 2
3
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Supply & Demand Analysis12
Port Flow Distribution Model
• 45 major European ports included
• 55% total European ports freight traffic
• 75% of intercontinental freight traffic in Europe
• Maritime and inland networks
• 4 models built in TransCAD
• containers
• Ro-Ro
• general cargo
• dry bulk
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
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Supply & Demand Analysis13
Traffic Assignment: Road
Total Observed and Modelled Traffic (AADT) on Red Banana Roads (Motorways, Dual Carriageways)
base year 2005 (41)
y = 0,87x + 7600R2 = 0,82
0
20000
40000
60000
80000
100000
120000
140000
160000
180000
200000
0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000
Observed Traffic (PCU)
Mo
del
ed T
raff
ic (
PC
U)
Note
• Local traffic has been taken into account on the basis of Eurostat data
• Satisfactory calibration achieved for each country
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
2005 Road Traffic Calibration
y = 0.87x + 7600
R2 = 0.82
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Supply & Demand Analysis14
Traffic Assignment: Rail
• Output in tonnes/day (freight) and pax/day (passengers) converted to traffic (trains/day)
• Model calibrated against observed rail traffic data for main lines
• Local traffic considered separately using different occupancy and loading factors
• Traffic split by train type
• Passenger: high speed, intercity, commuter
• Freight: block, wagon and container
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
y = 0,86x + 5,64R2 = 0,88
0
50
100
150
200
250
300
0 50 100 150 200 250 300
Observed
Cal
cula
ted
y = 0.86x + 5.6
R2 = 0.88
2005 Rail Freight Traffic Calibration
Modelled
Observed
y = 0,94x + 6,26R2 = 0,95
0
100
200
300
400
500
600
700
0 100 200 300 400 500 600 700 800
Observed
Cal
cula
ted
2005 Rail Passenger Traffic Calibration
y = 0.94x + 6.3
R2 = 0.95
Modelled
Observed
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Supply & Demand Analysis15
Freight Modal Split
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Freight Modal Split (2005)
0%
20%
40%
60%
80%
100%
EU25 Red Banana
Road Rail IWW Sea
(Measured in tonnes-km)
Inland Freight Modal Split (2005)
0%
20%
40%
60%
80%
100%
EU25 Red Banana
Road Rail IWW
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Supply & Demand Analysis16SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Passenger Modal Split
(Measured in passenger - km)
Passenger Modal Split (2005)
0%
20%
40%
60%
80%
100%
EU25 Red Banana
Road Rail Air
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Supply & Demand Analysis17SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
� Road Total (veh/day)
Year 2005 Traffic (I)
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Supply & Demand Analysis18SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
� Road Freight (HGV/day)
Year 2005 Traffic (II)
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Supply & Demand Analysis19SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
� Rail Freight (trains/day)
Year 2005 Traffic (III)
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Supply & Demand Analysis20SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
� Rail Passenger (trains/day)
Year 2005 Traffic (IV)
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Supply & Demand Analysis21
ReferenceMedium FERRMED
Full FERRMED
2005 √ - -
2020 √ √ -
2025 √ √ √
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
√√
--
--
FERRMED Objective achieved
Southern ports
enhancement 27% to 35%
Scenarios
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Supply & Demand Analysis22
Supply / Demand Scenario Building
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Reference Scenarios
1st Model run
Traffic
Traffic
Supply
Validation
Solutions
Traffic
2nd Model run Supply
Traffic
BottlenecksFERRMED Scenarios
FERRMED Standards
Modelling
Solutions2nd Model run Supply
Bottlenecks
CBA
FERRMED Standards
Costs IRR
Traffic
Traffic Costs IRR
Traffic
Costs
1st Model run Traffic Traffic
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Supply & Demand Analysis23
Inland Demand Forecasting
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Growth Rates Forecasting for Inland Freight Demand(Intra-Country + Intra Red Banana and Export to EU-25 models)
Base 100: 2005
100%
110%
120%
130%
140%
150%
2005 2010 2015 2020 2025
1. Intra Red Banana - export to EU25 2. Intra-Country TOT Inland
Growth Rate Forecasting for Main Socioeconomic VariablesEU-25 [EUROSTAT] Base 100: 2005
100%
110%
120%
130%
140%
150%
160%
2005 2010 2015 2020 2025
GDP (2005 constant price) Population
Growth Rate Forecasting for Production by sector and Consumption
EU-25 [EUROSTAT] Base 100: 2005
100%
110%
120%
130%
140%
150%
2005 2010 2015 2020 2025
Consumption Total Production Construction
Industry Agriculture Energy
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Supply & Demand Analysis24
Maritime Demand Forecasting
106%Ro-Ro
2005 - 2025 RefGrowth Factor
Containers 262%
Dry Bulk 41%
General Cargo 24%
Total 118%
• Inputs
• GDP
• Port expansion plans
• Exports / imports
• OECD industrial performance
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Growth Rate Forecasting for GDPEU-25 [EUROSTAT] Base 100: 2005
100%
110%
120%
130%
140%
150%
160%
2005 2010 2015 2020 2025
GDP (2005 constant price)
73%27%2025 Reference
76%24%2005 Base year
Other European ports
Med. PortsScenario
Share between Mediterranean Ports and Others
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Supply & Demand Analysis25
Reference Scenario Network
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
• Planned and committed projects at 3 levels
• European
• National
• Regional
• New and upgraded infrastructure
• Rail Freight (127 projects)
• Rail Passenger (140 projects)
• Road (209 projects)
• Inland waterways (11 projects)
• Terminals
Rail Freight Network (2025 Reference Scenario)
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Supply & Demand Analysis26
Reference Scenario Policies (I)
Policy ActionScenario year
Modelling
Freight intermodality and logistics
Motorways of the sea 2020 Reduce sea shipping waiting time at ports by 10%.
Intermodal loading units (ILU) and freight integrators (Marco Polo Programme)
2020
Reduce cost at freight terminals by 30% viz:- fixed inventory (Euros/ton)- handling (Euro/m3)- storage (Euro/m3)
Reduce waiting time at terminals by 10%Reduce travel time by 10%
Road pricing (Eurovignette) for freight and passenger transportation
2020 Vehicle charges per country (€/veh-km)
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
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Supply & Demand Analysis27
Reference Scenario Policies (II)
Policy ActionScenario year
Modelling
Liberalisation of transport markets and interoperability
Adoption of common rules in rail sector to improve interoperability and enhance quality of services
2020 Reduce rail freight travel time by 10%
Rail sector liberalisation --full separation between infrastructure and operations-
2020
Reduce rail freight travel cost by 10% (€/ton-km)
Reduce rail freight travel time by 10%
International passengers services deregulation
2020 Reduce rail passenger travel cost by 5% (€/pax-km)
Ports service liberalisation
2020 Reduce sea shipping costs (€/load) by 10 %
Airport slotsliberalisation
2020 Reduce tariffs for airport connections by 20%
Simplify Sea/IWW custom formalities
2020 Reduce sea and IWW port waiting times by 10%
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
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Supply & Demand Analysis28
• Transport operating cost heavily dependant on fuel cost
• Operating cost calculation assumptions:
• Road freight transport fuel prices grow at 50% of crude oil rate
• IWW and Maritime Transport fuel prices grow at 80% of crude oil rate
• Rail electric power price grows at 30% of average energy rate
• Assumptions for crude oil and energy prices growth:
• Base year for prices: 2000 (Trans-Tools)
• Future trends: World Bank (2008) and STEPsproject (EC, 2006)
Total freight transport cost growth 2000-2025
Road 18.6%
Rail 1.7%
IWW 21.5%
Sea 16.9%
Freight Model Input
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Transport Costs
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Supply & Demand Analysis29
Year Name DemandTransport Costs
SupplyFERRMED Standards
2005 1. Base year 2005 2005 2005 -
2020 2. Reference 1st run
2020 Forecasts
Reference 2020
Planned 2020 -
20203. Reference 2nd run
Bottlenecks solution
Planned 2020 +
Infrastructural Solutions
-
20204. MEDIUM FERRMED 1st
runReference 2020 + MEDIUM
Planned 2020 +MEDIUM
MEDIUM
20205. MEDIUM FERRMED
2nd run Bottlenecks solution
Planned 2020 +MEDIUM+
Infrastructural Solutions
MEDIUM
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Modelling Scenarios (I)
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Supply & Demand Analysis30
FULLPlanned 2025 &
FULL
Reference 2025 + FULL
Long distance rail freight share assumed 35%
13. FERRMED Objective achieved
2025
Year Name DemandTransport Costs
SupplyFERRMED Standards
2025 6. Reference 1st run
2025 Forecasts
Reference 2025
Planned 2025 -
20257. Reference 2nd run
Bottlenecks solution
Planned 2025 &
Infrastructural Solutions-
2025 8. MEDIUM FERRMED 1st runReference 2025 + MEDIUM
Planned 2025 & MEDIUM MEDIUM
20259. MEDIUM FERRMED 2nd run
Bottlenecks solutionPlanned 2025 & MEDIUM & Infrastructural Solutions
MEDIUM
2025 10. FULL FERRMED 1st runReference 2025 + FULL
Planned 2025 & FULL FULL
202511. FULL FERRMED 2nd run
Bottlenecks solution
Planned 2025 & FULL &
Infrastructural SolutionsFULL
202512. Southern ports
enhancement 27% to 35%
North-South port share, assumed split 65-35%
Reference 2025 + FULL
Planned 2025 &
FULLFULL
2025 14. FERRMED FULL+ 2025 ForecastsReference 2025 + FULL
Planned 2025 &
FULL+FULL+
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Modelling Scenarios (II)
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Supply & Demand Analysis31
FERRMED StandardFERRMED Scenarios
1st RunFERRMED Scenarios
2nd Run
1. Signalling Included Included
2. Train Length Included Included
3. New terminals and expansion Included Included
4. Maximum Axle Load Included New lines
5. Width of the tracks UIC 1435 mm Included Included
6. Liberalisation of the rail freight market Included (Ref. Scenario) Included (Ref. Scenario)
7. Reliability and Quality Included Included
8. Loading gauge UIC C As in Reference scenario For Upgraded and New lines
9. Two Parallel lines in core FERRMED rail network
Included when justified Included when justified
10. Increase of Freight train priority As in Reference scenario Selected lines
11. Slope limitation to 12 ‰ As in Reference scenarioIncluded when needed to solve
slope bottlenecks
12. Homogenisation of Power type As in Reference scenario Included
13. Renewal of Rolling stock Indirect Effect Indirect effect
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
FERRMED Standards
Implementation
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Supply & Demand Analysis32SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
FERRMED Standards
Modelling
Modelling variables:
• Link Speed
• Line capacity
• Border crossing delays
• Loading capacity
• Operating costs
• Market prices
• Costs at freight terminals (handling, storage…)
• Times at terminals
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Supply & Demand Analysis33
Modelling variable FULL FERRMED Scenario MEDIUM FERRMED Scenario
Link Speed + 15% + 0%
Line capacity + 15% + 0%
Border crossing delays Eliminated Eliminated
Loading capacity +50% +45%
Operating costs -25% -15%
Market prices -25% -15%
Costs at freight terminals(handling, storage…)
-20% -15%
Times at terminals -35% -25%
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
FERRMED Standards
Modelling
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Supply & Demand Analysis34
Freight Transport Performance
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
0
1000
2000
3000
4000
5000
Bil
lio
n (
109
) to
ns-
km
Road Rail IWW Sea
Sea 918 1374 1373 1510 1502 1499 1580 1499
IWW 148 246 245 265 262 260 264 260
Rail 265 409 453 453 491 524 527 574
Road 1481 2231 2191 2319 2286 2274 2284 2223
1. 2005 Base Year
3. 2020 Reference 2nd
run
5. 2020 Medium FERRMED 2nd
run
7. 2025 Reference 2nd
run
9. 2025 Medium FERRMED 2 nd
run
11. 2025 Full FERRMED 2nd
run
12. 2025 Southern Ports enhancement
13. 2025 Obj. achieved: RAIL 35% (>500Km)
Bill
ion
( 1
09)
ton
nes
-km
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Supply & Demand Analysis35
Freight Transport Growth Rates
Period Scenario Rail Road IWWTotal Inland
SeaTotal All
2005-2020
3. 2020 Reference 2nd Run Bottlenecks Solution
54% 51% 66% 52% 50% 52%
2005-2020
5. 2020 Medium FERRMED 2nd run Bottlenecks solution
71% 48% 65% 52% 51% 52%
2005-2025
7. 2025 Reference 2nd run Bottlenecks solution
71% 57% 79% 60% 64% 62%
2005-2025
9. 2025 Medium FERRMED 2nd run Botteleneck solutions
85% 54% 77% 60% 64% 62%
2005-2025
11. 2025 Full FERRMED 2nd run Bottlenecks solution
97% 54% 76% 61% 63% 62%
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Consortium
Supply & Demand Analysis36
Freight Modal Split
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
0%
20%
40%
60%
80%
100%
Road Rail IWW Sea
Sea 32,6% 32,2% 32,2% 33,2% 33,1% 32,9% 34,0% 32,9%
IWW 5,3% 5,8% 5,8% 5,8% 5,8% 5,7% 5,7% 5,7%
Rail 9,4% 9,6% 10,6% 10,0% 10,8% 11,5% 11,3% 12,6%
Road 52,7% 52,4% 51,4% 51,0% 50,3% 49,9% 49,0% 48,8%
1. 2005 Base Year
3. 2020 Reference 2nd
run
5. 2020 Medium FERRMED 2nd
run
7. 2025 Reference 2nd
run
9. 2025 Medium FERRMED 2 nd
run
11. 2025 Full FERRMED 2nd
run
12. 2025 Southern Ports enhancement
13. 2025 Obj. achieved: RAIL 35% (>500Km)
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Supply & Demand Analysis37
Inland Freight Modal Split
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
(Measured in tonnes-km)
0%
20%
40%
60%
80%
100%
Road Rail IWW
IWW 7,8% 8,5% 8,7% 8,7% 8,5% 8,6% 8,5%
Rail 14,0% 14,2% 14,9% 16,1% 17,1% 17,1% 18,8%
Road 78,2% 77,3% 76,4% 75,2% 74,4% 74,3% 72,7%
1. 2005 Base Year3. 2020 Reference
2nd run 7. 2025 Reference
2nd run9. 2025 Medium
FERRMED 2 nd run11. 2025 Full
FERRMED 2nd run
12. 2025 Southern Ports enhancement
27% to 35%
13. 2025 Obj. achieved: RAIL 35% (>500Km)
Consortium
Supply & Demand Analysis38
Average Trip Distance
21%
21%
21%
21%
21%
21%
23%
Trips >1000 km
11%
11%
11%
12%
11%
11%
10%
Trips [750, 1000] km
18%
18%
18%
17%
17%
17%
16%
Trips [500, 750] km
50%
50%
50%
50%
51%
51%
51%
Trips < 500 km
Rail
Trip Distance Distribution
Road
Trips< 500 km
Trips [500, 750] km
Trips [750, 1000] km
Trips >1000 km
1. 2005 Base Year 75% 11% 5% 9%
3. 2020 Reference 2nd run Bottlenecks Solution
74% 11% 5% 10%
5. 2020 Medium FERRMED 2nd Bottlenecks Solution
74% 11% 6% 9%
7. 2025 Reference 2nd run Bottlenecks Solution
74% 11% 5% 10%
9. 2025 Medium FERRMED 2nd run Bottlenecks Solution
74% 10% 6% 10%
11. 2025 Full FERRMED 2nd run Bottlenecks Solution
74% 10% 6% 10%
12. 2025 Southern ports enhancement 27% to 35%
74% 10% 6% 10%
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Average Rail trip distance around 300 km
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Supply & Demand Analysis39
Freight Modal Split Inland Long Distance (>500 km)
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
0%
20%
40%
60%
80%
100%
Road Rail IWW
IWW 19,6% 20,2% 19,8% 20,2% 19,9% 19,6% 19,9% 19,8%
Rail 20,5% 20,7% 22,6% 21,4% 23,0% 24,3% 24,6% 35,0%
Road 59,9% 59,1% 57,7% 58,4% 57,1% 56,1% 55,6% 45,1%
1. 2005 Base Year
3. 2020 Reference 2nd
Run
5. 2020 Medium
FERRMED
7. 2025 Reference 2nd
run
9. 2025 Medium
FERRMED 2
11. 2025 Full FERRMED 2
nd run
12. 2025 Southern ports enhancement
13. 2025 Obj. achieved: RAIL 35% (>500Km)
(Measured in tonnes-km)
Consortium
Supply & Demand Analysis40
Freight Modal Split Inland Long Distance (>1000 km)
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
(Measured in tonnes-km)
0%
20%
40%
60%
80%
100%
Road Rail IWW
IWW 14,4% 15,1% 14,7% 15,5% 15,1% 14,7% 15,1% 14,7%
Rail 24,1% 24,7% 26,4% 25,2% 26,4% 28,2% 28,9% 39,8%
Road 61,5% 60,2% 58,9% 59,3% 58,5% 57,1% 56,0% 45,4%
1. 2005 Base Year
3. 2020 Reference 2nd
Run
5. 2020 Medium
FERRMED 2nd
7. 2025 Reference 2nd
run
9. 2025 Medium
FERRMED 2
11. 2025 Full FERRMED 2
nd run
12. 2025 Southern ports enhancement
13. 2025 Obj. achieved: RAIL 35% (>500Km)
Consortium
Supply & Demand Analysis41
2025 REFERENCE Scenario Rail Freight Traffic (trains/day)
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Consortium
Supply & Demand Analysis42SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
2025 FULL FERRMED Scenario Rail Freight Traffic (trains/day)
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Supply & Demand Analysis43
Passenger Modal Split
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
(Measured in passenger - km)
0%
20%
40%
60%
80%
100%
Road Rail Air
Air 9,6% 11,0% 11,0% 11,9% 11,9% 11,9% 11,9% 11,9%
Rail 4,5% 6,1% 6,1% 6,6% 6,6% 6,6% 6,6% 6,6%
Road 85,9% 82,9% 82,9% 81,5% 81,5% 81,5% 81,5% 81,5%
1. 2005 Base Year
3. 2020 Reference 2nd
run
5. 2020 Medium
FERRMED
7. 2025 Reference 2nd
run
9. 2025 Medium
FERRMED 2
11. 2025 Full FERRMED
2nd run
12. 2025 Southern Ports enhancement
13. 2025 Obj. achieved: RAIL 35% (>500Km)
Consortium
Supply & Demand Analysis44
FERRMED: Reversing the trend (I)
Inland Freight Transport Performance 1995 - 2005: EUROSTAT PocketBook 2005 - 2025: FERRMED Forecasting
25814.2%221
15.5%
45314.9%
49116.1%
57418.8%
52417.1%
0
500
1000
1500
2000
2500
300019
95
2000
2005
(1)
2005
Bas
e Y
ear
(3)
2020
Ref
eren
ce 2
nd
Ru
n
(7)
2025
Ref
. 2n
d r
un
Bo
ttle
nec
ks s
olu
tio
n
(1)
2005
Bas
e Y
ear
(5)
2020
Med
ium
FE
RR
ME
D2n
d r
un
(9)
2025
Med
ium
FE
RR
ME
D2n
d r
un
(1)
2005
Bas
e Y
ear
(11)
202
5 F
ull
FE
RR
ME
D 2
nd
run
(12)
202
5 S
ou
ther
n p
ort
sen
han
cem
ent
27%
to
35%
(13)
202
5 O
bj.
ach
ieve
d:
RA
IL 3
5% (
>50
0Km
)
Bill
ion
( 1
09 ) t
on
nes
-km
Rail Ref.IWW Ref.
Total
Total Ref.
Total MEDIUM
Total FULL
RoadRailIWW
Road Ref.
Road MEDIUMRail MEDIUMIWW MEDIUM
Road FULLRail FULLIWW FULL
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
Consortium
Supply & Demand Analysis45
• Planned and committed projects plus European policies and
global trends stop the trend of losing modal share by the
freight rail sector, achieving also a slight increase in share
(9.4% in 2005 to 10% in 2025)
• FERRMED Standards implementation REVERSES THE TREND
with 16% growth in tonnes-km in rail market and 2% decrease
by road in 2025
• Railway (inland, +750 km trips) modal share increases from
22.6% (2005) to 23.1 (2025 Reference), while Full FERRMED
further increases the share to 26.1%.
SCOPE 2005 SCENARIOS FORECASTING CONCLUSIONS
FERRMED: Reversing the trend (II)