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En model for godstransportens udvikling - DCE - Nationalt Center for ...

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100%<br />

90%<br />

80%<br />

70%<br />

60%<br />

50% Vogn Ton 32<br />

40%<br />

30%<br />

20%<br />

10%<br />

0%<br />

Firma Ton 32<br />

80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97<br />

100%<br />

90%<br />

80%<br />

70%<br />

60%<br />

50%<br />

40%<br />

30%<br />

20%<br />

10%<br />

Haulage transport<br />

0%<br />

80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97<br />

100%<br />

80%<br />

60%<br />

40%<br />

20%<br />

Ton 32<br />

Haulage transport<br />

Km 32<br />

0%<br />

80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97<br />

an even better understanding of the many different individual elements<br />

influencing the development of freight transport.<br />

100%<br />

90%<br />

80%<br />

70%<br />

60%<br />

50%<br />

40%<br />

30%<br />

20%<br />

10%<br />

Vogn Km 32<br />

Firma Km 32<br />

0%<br />

80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97<br />

100%<br />

80%<br />

60%<br />

40%<br />

20%<br />

Own transport<br />

Ton 32<br />

0%<br />

80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97<br />

100%<br />

80%<br />

60%<br />

40%<br />

20%<br />

Own transport<br />

Km 32<br />

0%<br />

80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97<br />

Figure 2 The distribution of the amounts transported, and the traffic per<strong>for</strong>mance on the size and the ownership<br />

of the vehicles.<br />

Dynamic effects<br />

The description of the <strong>model</strong> could give the impression that the linking<br />

coefficients in the <strong>model</strong> are fixed in value. This is not the case<br />

even though some of the coefficients can be assumed constant. The<br />

development is in most cases linear (or almost linear), and can best be<br />

described using a technological trend, but in some cases it seems obvious<br />

to examine other potential explanations of the observed developments.<br />

The underlying assumption or idea is that an influence on<br />

the coefficients from a set of relative prices can be found, where these<br />

prices are some kind of indications of the level of the costs associated<br />

with the different activities. An example of this is the development in<br />

the average trip length, which is assumed to decrease, when the relative<br />

price on transport rises.<br />

Using econometric analyses it is examined whether such pricecoefficient<br />

relations exist. Intuitive explanations <strong>for</strong> the different price<br />

influences can be given in most cases. Even so, this is not the primary<br />

reason <strong>for</strong> the changes in the coefficients. Most often the changes are<br />

an indication of more structural changes over longer periods of time.<br />

31

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