ITF Transport Outlook Meeting the needs of 9

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ITF Transport Outlook Meeting the needs of 9 billion people Plenary 2: Towards a

ITF Transport Outlook Meeting the needs of 9 billion people Plenary 2: Towards a Green Economy ITF Transport Outlook Transforming Transportation Plenary 2: DC Towards a Green Economy Washington DC 26 January 2012

2 Global passenger transport activity 2000 – 2050 Index of pkm (2000 = 100)

2 Global passenger transport activity 2000 – 2050 Index of pkm (2000 = 100) High: European saturation levels in BRICs Low: Japanese saturation levels in BRICs Source: International Transport Forum calculations using IEA Mo. Mo version 2011.

3 Global passenger transport activity 2000 -2050 • Meeting the needs of 9 billion

3 Global passenger transport activity 2000 -2050 • Meeting the needs of 9 billion people • Outlook fraught with uncertainty over such a long period • Global passenger-km increase 3 -4 times by 2050 • Outside OECD pkm could increse 5 or 6 fold • Range is not measure of uncertainty but illustrates potential impact of modest changes in assumptions • Low scenario – IEA base case in WEO 2008, Emerging economies reach Japanese levels of car ownership and use levels • High scenario: European saturation levels • Share of car trips seems set to rise from <10% in China to >50%

4 Aviation • Medium term in line with IEA and IATA • Longer term:

4 Aviation • Medium term in line with IEA and IATA • Longer term: • Low scenario lower than IATA especially in OECD countries • High OECD continues to grow non-OECD accelerates with deregulation and open skies • High is still much lower than aircraft makers forecasts

5 Global freight transport activity, 2000 - 2050 Index of tkm (2000 = 100)

5 Global freight transport activity, 2000 - 2050 Index of tkm (2000 = 100) High: Constant freight intensity Low: Dematerialisation of growth Source: International Transport Forum calculations using IEA Mo. Mo version 2011.

6 Freight Transport Activity 2000 -2050 • Global freight tonne-km to rise 2. 5

6 Freight Transport Activity 2000 -2050 • Global freight tonne-km to rise 2. 5 – 3. 5 times by 2050 • Low scenario: Dematerialisation of growth, eg shift to services • High scenario: GDP growth continues at 2005 freight intensity levels • Developing countries may be embarking on a relatively freight intensive growth path, so full upside risk not reflected in graph

7 High Scenarios • Best interpreted as where demand would like to go •

7 High Scenarios • Best interpreted as where demand would like to go • Realistic? Policy intervention? • Eg fast urbanisation might slow growth of car ownership and use • High energy prices would suppress • But high scenarios far from impossible

8 Impact of Economic Crisis Source: ITF Trade and Transport Database Sep-11 Jun-11 USA

8 Impact of Economic Crisis Source: ITF Trade and Transport Database Sep-11 Jun-11 USA External trade by sea and air, percentage change from precrisis peak Jun-08 (Tonnes, monthly trend, seasonally adjusted)

9 Impact of Economic Crisis • Total trade by sea and air in US

9 Impact of Economic Crisis • Total trade by sea and air in US • 2 years to recover, but now flatlining or falling again • End of stimulus, cooling of Chinese growth, in Europe bite of austerity • Outlook incorporated 5 year shift • Next will look at longer stagnation

10 EU External trade by sea and air, percentage change from pre-crisis peak (Tonnes,

10 EU External trade by sea and air, percentage change from pre-crisis peak (Tonnes, monthly trend, seasonally adjusted) Source: ITF Trade and Transport Database

11 Shift in centre of gravity from OECD to non-OECD countries (halfway case between

11 Shift in centre of gravity from OECD to non-OECD countries (halfway case between high and low scenarios) Passenger mobility (pkm) 2000 OECD 54% Passenger mobility OECD 22% (pkm) 2050 Non. OECD 46% Non. OECD 78% Surface freight (tkm) 2000 OECD 52% Non. OECD 48% Surface freight (tkm) 2050 OECD 31% Source: International Transport Forum calculations using IEA Mo. Mo version 2011. Non. OECD 69%

12 Global CO 2 emissions from transport index (2000 = 100) High: European car

12 Global CO 2 emissions from transport index (2000 = 100) High: European car saturation levels in BRICs air liberalisation Low: Japanese saturation levels in BRICs and dematerialisation Source: International Transport Forum calculations using IEA Mo. Mo version 2011.

13 Global CO 2 emissions from transport • CO 2 emissions rise less quickly

13 Global CO 2 emissions from transport • CO 2 emissions rise less quickly than mobility through fuel economy improvement • Increase 2. 5 to 3 times

Car Fuel Economy/CO 2 Targets Source: March 2011

Car Fuel Economy/CO 2 Targets Source: March 2011

15 Global CO 2 emissions from transport • Maximisation of cost effective fuel economy

15 Global CO 2 emissions from transport • Maximisation of cost effective fuel economy improvement around the world, eg through continues progress with emissions standards would stabilise emissions • GFEI target • 8 l/100 km ave new fleet economy in 2008 rise to 4 l/100 km in 2030; whole fleet 2005 • Impressive but not enough to for IPCC 450 ppm CO 2 limit

16 Average LDV on-road fuel-intensity, baseline and stabilization of emissions (litres gasoline equivalent per

16 Average LDV on-road fuel-intensity, baseline and stabilization of emissions (litres gasoline equivalent per 100 km) Source: International Transport Forum calculations using IEA Mo. Mo version 2011.

17 Peak Travel? Passenger-kilometres by private car and light trucks, 1970 – 2009 index

17 Peak Travel? Passenger-kilometres by private car and light trucks, 1970 – 2009 index (1990 = 100) Source: ITF 2011 Transport Outlook from Household Survey Data

18 Peak travel? • Evidence of reduced responsiveness of car and light truck travel

18 Peak travel? • Evidence of reduced responsiveness of car and light truck travel to increasing incomes in advanced economies • As the effect of income on travel (vkm) diminishes, it leaves a larger role to other determinants such as fuel prices, urbanisation, ageing and network management • But economic cycle visible in US in particular • And income distribution may have a large role. Income growth in last decade concentrated on wealthiest 10%. Incomes decreased in many of the lower deciles.

19 Peak travel? • High income households are less responsive due to saturation, low

19 Peak travel? • High income households are less responsive due to saturation, low income households very responsive • Whether or not growing income translates into more driving (VMT) thus also depends on the distribution of income growth • Uncertainty over future income likely to play a role in medium term • Demographics becoming increasingly important • These factors have strong implications for the projection of long run transport demand

20 Passenger Modal Split, 2005 and 2050 halfway case between high and low scenario,

20 Passenger Modal Split, 2005 and 2050 halfway case between high and low scenario, p-km (%) OECD Non-OECD 80% 70% 60% 50% 2005 40% 2050 30% 20% 10% 0% 0% Air Rail Buses Other 2050 30% 20% Car+LT 2005 40% Car+LT Source: International Transport Forum calculations using IEA Mo. Mo version 2011. Air Rail Buses Other

21 Freight modal split by region, 2005 and 2050 halfway case between high and

21 Freight modal split by region, 2005 and 2050 halfway case between high and low scenarios, t-km (%) OECD Non-OECD 80% 70% 60% 50% 2005 40% 2050 30% 20% 10% 0% Trucks Rail 0% Trucks Source: International Transport Forum calculations using Mo. Mo version 2011. Rail

Thank you Stephen Perkins T +33 (0)1 45 24 94 96 E stephen. perkins@oecd.

Thank you Stephen Perkins T +33 (0)1 45 24 94 96 E stephen. perkins@oecd. org Postal address 2 rue Andre Pascal 75775 Paris Cedex 16