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2050 2.9 EJ 42 2.5 EJ 37<br />

Table 7 shows the same effects as table 4. Because of the high occupancy of individual transport systems, the<br />

public systems score worse than the individual systems. Therefore, a higher reduction potential is achieved in<br />

the Market Drive scenario, in which a larger share of the transport demand is provided with individual transport<br />

systems, than in the Rational Perspective scenario with the high public transport share. Once again, it<br />

should be noted that this high occupancy of individual systems is more realistic in a system with a large public<br />

transport share.<br />

CO2 emissions related to passenger transport<br />

The total energy saving potential for passenger transport also depends on external factors. The ERE value for<br />

electricity is of great importance for the results. Next to that, improvement options in the manufacturing industry,<br />

as well as in the GER value of materials could contribute to energy savings associated with transport. The<br />

CO2 emissions of transport are closely related to the energy use for passenger transportation. As shown in figure<br />

4, the carbon content of a energy carrier determines the CO2 emission.<br />

Primary energy use<br />

of carrier i<br />

Figure 4. Calculation scheme of total CO2 emissions<br />

* =<br />

Carbon content<br />

of carrier i<br />

CO 2 emission<br />

of carrier i<br />

In order to achieve a 90% reduction in the CO2 emission, not only the energy use, but also the carbon content of<br />

the energy carriers should be taken into account. This extra factor also offers an extra opportunity to reduce the<br />

emissions.<br />

Along with the ERE value of electricity, the carbon associated share of electricity varies. When the share of non<br />

fossil fuels used for electricity increases, the ERE value for electricity decreases, and so is the associated carbon<br />

content. Next to the improvement options mentioned in this paper, also changes to other fuel mixes like biofuels<br />

or hydrogen are conceivable. This will not result in an energy reduction, but may result in a reduction of the<br />

CO2 emission, provided that the new fuels have more favourable carbon contents or are produced sustainably<br />

(with closed carbon cycle or out of electrolysis driven by photovoltaic electricity).<br />

Regarding the reduction of CO2 emissions it may be concluded that analogue to the energy consumption an<br />

80% reduction in 2050 is possible. With a change to other fuels this reduction percentage may be even higher.<br />

In order to achieve a 90% reduction in 2050, the external factors influencing the CO2 emissions should be<br />

halved.<br />

Discussion and conclusions<br />

The calculations in this paper show considerable energy saving potentials within the transportation system.<br />

With only technological options, a 50% reduction is possible in 2020, and a 60 % reduction in 2050. When<br />

non-technical options are added, requiring major behavioural adaptations, 80% reduction can be achieved in<br />

2050.<br />

Implementing the technological options will result in higher costs in the transportation sector, since the various<br />

options require extra research and production facilities. Partly, these extra costs will be compensated by the fuel<br />

savings achieved by the introduction of the new technology. In general, the first savings are the cheapest to realise,<br />

more expensive options will only be implemented if the cheapest options are already in use. With the<br />

subdivision made in this paper, this general decrease in costs is not so obvious. The options emphasising on<br />

behavioural change generally have lower costs per kilometre. Doubling the occupancy rate about halves the<br />

costs per passenger kilometre. So the implementation of the technological improvement options result in higher<br />

costs, whereas the more categories of options are implemented, the lower the costs of transport will be.

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