INTENSITY
OF ENERGY USE: TRANSPORTATION
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Economic
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Consumption
and Production Patterns
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Energy
Use
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1. INDICATOR
(a)
Name: Intensity of Energy Use in Transportation.
(b)
Brief
Definition: Energy consumption for transportation relative to the amount of
freight or passengers carried and the distance traveled.
(c)
Unit
of Measurement: Magajoules
per tonne-kilometer (mJ/tonne-km)
for freight, and Megajoules per passenger-kilometer (mJ/passenger-km)
for passengers.
(d)
Placement
in the CSD Indicator Set: Economic/Consumption and Production Patterns/ Energy Use.
2.
POLICY RELEVANCE
(a)
Purpose: Transportation is a major consumer of energy, mostly in the form
of fossil fuels, and the share of transportation in energy consumption
is generally increasing. The indicator is a measure of how efficiently
energy is used for moving goods and people. The indicator can be used to
monitor trends in energy consumption for transportation and for
international comparisons. Separation of freight and passenger travel is
essential.
(b)
Relevance
to Sustainable/Unsustainable Development (theme-sub-theme): Transportation
serves
economic and social development through distribution of goods and
services and through personal mobility. However, energy consumption for transportation also leads to air
pollution and climate change. Reducing
energy intensity (increasing energy efficiency) in transportation can
reduce the environmental impacts of transportation while maintaining the
economic and social benefits.
(c)
International Conventions and Agreements: UNFCCC and its Kyoto Protocol.
The European Union voluntary agreement on greenhouse gas (GHG)
emissions from automobiles (to which Japanese and Korean producers have
also agreed) require reductions in GHG emissions per kilometer from new
automobiles.
(d)
International
Targets/Recommended Standards: Many
industrialized countries have targets for reducing energy use and carbon
emissions from transportation, for which these energy intensities are
key indicators.
(e)
Linkages
to Other Indicators: This
indicator is one of a set for energy intensity in different sectors
(manufacturing, transportation, commercial/services and residential),
with the indicator for energy use per unit of GDP as an aggregate energy
intensity indicator. These
indicators are also linked to indicators for total energy consumption,
greenhouse gas emissions, and air pollution emissions. This indicator is also linked to the indicator for distance
traveled per capita by means of transport.
3.
METHODOLOGICAL DESCRIPTION
(a)
Underlying
Definitions and Concepts: Energy
consumption per unit of transportation activity is a key measure of how
efficiently transportation systems convert energy into human mobility
and goods distribution. Because it is not meaningful to add freight and
passenger travel, these types of transportation must be disaggregated.
Separating the two activity measures is generally not difficult, but
separating the energy consumption is often complicated.
(b)
Measurement
Methods:
§
Energy
Use: Energy
consumption should be measured for each kind of vehicle, including
two-wheelers, automobiles, busses, small trucks, heavy trucks, and
miscellaneous road vehicles, as well as trains, ships and aircraft for
domestic transport, and even pipelines. In general, however, national energy balances are only
disaggregated by fuel and broad traffic type: road, rail, water, and
air. Considerable work is
required to disaggregate road fuels consumed by vehicle type. It is important to take into account the different energy content
and carbon emissions in different fuels and not simply add the weights
or volumes of different fuels consumed (e.g., tonnes, or cubic metres in
the case of natural gas). Some
of the difficulties in disaggregating road fuels consumed by vehicle
type are explained in Schipper et al. (1993). International air or
marine transportation should not be included. Electric power consumption
for rail, subway and trams, as well as electric road vehicles, should be
converted to primary energy consumption, although there is no standard
method for such conversion.
Unit: Preferable energy units are multiples of joules, usually
terajoules (1012J), petajoules (1015J), or
exajoules(1018J), converted from weights or volumes of fuels
at net heating values.
·
Output
or Activity: There
are two different measures of activity. Vehicular activity, in
vehicle-km, provides a measure of traffic that is important for
transport policy and road and infrastructure planning. Most often, these data can be divided further into basic vehicle
types. However, economic and human activity is better measured in
passenger-km and tonne-km, taking into account utilisation or load
factors. A bus carrying 20
passengers for 10 km (200 passenger-km) is less energy intensive (more
energy efficient) than the same bus carrying 5 passengers for the same
distance (50 passenger-km). Similarly, a fully-loaded truck is less
energy intensive than the same truck carrying a partial load.
·
Indicators:
(i)
Vehicle
Intensities: Energy consumption per vehicle-km by vehicle and fuel type is an
important indicator, as many standards for air pollution (and more
recently, goals for CO2 emissions reduction) are expressed in
terms of vehicle characteristics, i.e., emissions per vehicle-km.
(ii)
Modal
Intensities: Energy use per passenger-km or tonne-km should be disaggregated
by vehicle type, i.e., two-wheeler, car/van, bus, air, local and
long-distance rail, subway, tram, ship or ferry for passengers; and
truck, rail, ship, air for freight.
Note: Aggregate
energy intensity for travel or freight is a meaningful summary
indicator, the value of which depends on both the mix of vehicles and
the energy intensities of particular types of vehicles. The energy intensities of train and bus transportation per
passenger-km are commonly 60 to 80 per cent less than the energy
intensities for cars or air transportation. For freight, rail and ship transportation are commonly 65 to 90
per cent less than the energy intensive for trucking per tonne-km. These
differences between modes are of the same order of magnitude as the
differences between the lowest and highest energy intensities of
transportation within each mode. It should also be noted that fuel
consumption per vehicle-km also depends on traffic conditions as well as
vehicle characteristics.
The
energy intensity for a vehicle type depends on both capacity and
capacity utilisation. A
large vehicle that is fully loaded generally has a lower energy
intensity per tonne-km than a fully-loaded smaller vehicle, but a small
vehicle fully loaded will have a lower energy intensity than a large
vehicle with the same load. Typical
load factors for private cars are 1.5 people per car. Typical load factors for rail and bus vary from well below 10 per
cent (e.g., United States city busses on average) to over 100 per cent
of nominal capacity at peak times, and in many developing countries
during most of the day. Typical
load factors for trucking might be 60 to 80 per cent of weight capacity
when loaded, but trucks commonly run 20 to 45 per cent of their
kilometers empty, yielding a relatively low overall load factor. Under-utilized transport capacity means more pollution and road
damage (and other impacts) per unit of transport service delivered,
hence capacity utilisation itself is an important indicator of
sustainable transportation.
(c)
Limitations
of the Indicator: Data availability may limit the disaggregation of the indicator
to the desired level. Considerable
work is often required to disaggregate energy balances into various
modes of transportation.
Some
countries’ transportation energy statistics include fuel consumed by
domestic airlines or shipping lines in international transportation.
Efforts should be made to exclude such transportation and energy
consumption from the indicators.
(d)
Status
of the Methodology: The
methodology is in use in many developed countries.
(e)
Alternative
Definitions/Indicators: An
alternative, simpler, broad measure of energy intensity for
transportation could be average fuel consumption per vehicle for all
vehicles, but the results would be strongly influenced by the mix of
vehicles, which varies enormously among countries and over time. In particular, it would be influenced by the number of two- and
three-wheelers.
4.
ASSESSMENT OF THE DATA
(a)
Data
Needed to Compile the Indicator:
(i)
Energy consumption by mode of transportation, vehicle type and
fuel;
(ii)
Distance traveled by vehicles, passengers and freight, including
load factors.
(b)
National
and International Data Availability and Sources:
Energy
use by fuel type in each branch of road transport, rail, ship, and air
transport is published by most transport ministries in OECD countries.
National energy balances (as well as present IEA/OECD Energy Statistics)
do not disaggregate road transport by mode. Few sources of energy data separate fuel consumption for rail or
shipping into that for passengers and that for freight, but national or
private rail and shipping organizations often do this. Energy consumption for local electric transport (commuter rail,
subways, trams) is often published separately by national authorities.
Eurostat
is a lead agency for collecting data on vehicle, passenger, and tonne-kilometers
in Europe. Ministries of
Transport in the United States, Canada, Japan, Australia and other
countries, often through their statistical agencies, publish similar
data. In developing
countries, fewer data are available.
(c)
Data
References:
Eurostat: Transport Annual Statistics
5.
AGENCIES INVOLVED IN THE DEVELOPMENT OF THE INDICATOR
(a)
Lead
Agency: The
lead agency is the International
Energy Agency (IEA).
(b)
Other
Contributing Organizations: None.
6.
REFERENCES
(a)
Readings:
Schipper,
L. and Marie-Lilliu, C., 1999. Carbon
Dioxide Emissions from Transport in IEA countries: Recent lessons and
long-term Challenges. KFB Meddelande 1999:11. Stockholm.
Schipper,
L., Figueroa. M.J.,
Price, L., and Espey. M., 1993. “Mind the Gap: The Viscious Circle of
measuring automobile fuel use”. Energy
Policy (October).
Samaras.
Z., et al. 1999. Study on
Transport Related Parameters of the European Road Vehicle Stock. Prepared for Eurostat and DG-7.
Thessalonikai: Laboratory of Applied Thermodynamics, Aristotle
University.
Schipper,
L., and Tax, W., 1994. “Mind the Gap”. Transport
Policy.
(b)
Internet
site: IEA: http://www.iea.org
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