Study on feasibility of SATCOM for railway communication

M€
2020
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Final Report
Figure 83: Cost segmentation per solution
As seen in the figure, SATCOM solutions costs are driven by OPEX (especially on the railway
undertaking‘s side), while in LTE, costs are dominated by CAPEX, especially affecting the
infrastructure manager.
9.3.3.2.5 Revenues
As mentioned previously, only one source of revenues has been considered, in the form of the user
tariff. This tariff is a fixed price per user and travel. The tariff price is not influenced by macro-economic
parameters such as inflation. Additionally, railway demand increases with the population. Therefore,
the revenues obtained rise over the years, as shown below.
4,000
3,500
3,000
2,500
2,000
1,500
1,000
500
0
Revenue
High Speed Medium Distance Short Distance
Figure 84: Revenue incomes forecast
9.3.4 Sensitivity Analysis
This section is aimed at determining which parameters would induce a significant change into the
results should they face a small variation. This serves to illustrate the solidity and robustness of the
model, as well as the key drivers in possible cost variations in a real-life scenario. Hence, it provides a
good measure of the uncertainty involved in this analysis.
9.3.4.1 Approach of the analysis
The approach followed in performing the analysis consists of varying the value of a parameter by a
fixed percentage and identifying how this variation influences the final result. In the case of Boolean
parameters, yes or no, no is taken as baseline, since this would make it analogous to GSM-R‘s current
functions. The parameters assessed within the scope of the project are the ones listed below:
Doc.Nº: SRAIL-FNR-010-IND
Edit./Rev.: 1/1
Date: 16/02/2017
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