1. Working Group on Rail Transport Statistics
Item 11.1
GIS needs for Modal split indicators
Working Group on Rail Transport Statistics
15-16 June 2017

2. Contents A. Modal split indicators B. Rail distance matrix
I. Policy relevance: 2011 Transport White Paper
II. Modal split by distance class
What data are needed
Data availability for Rail transport
III. Proposal of Eurostat – how to calculate rail by distance class
B. Rail distance matrix
Gisco data on rail network
Proposed options for 'representative' points at NUTS2
C. The way forward

3. A. Modal split indicators

4. I. Policy relevance (1)
2011 Transport White Paper
Ten goals for a competitive and resource-efficient transport system, thus including:
a shift of 30% of road freight transport over 300 km to other modes such as rail or waterborne transport by 2030, and more than 50% by 2050
majority of medium distance passenger transport (>300km and <1000km) should go by rail by 2050

5. I. Policy relevance (2)
Eurostat and DG MOVE acknowledged the importance of
Improving the current data availability situation in the MSI project
In order to quantify the shift, the modal split is needed, also by distance class
=>Developing MSI by distance classes

6. II. MSI by distance class: what is needed
tkm/pkm datasets of the five main transport modes (road, rail, iww, air and maritime), following the principle of 'territoriality'
these data broken down in distance classes of above/below 300km
Transport taken place on a 'territory of a country' (territoriality principle)

7. II. MSI by distance class: data availability for RAIL
Tkm/pkm data are available, 'territorialisation' principle is respected
Data useful for distance class calculation can be taken from:
Annex F data (detailed NUTS 2-to-NUTS 2 pairs), however it is reported only every five years and only in tonnes/passengers

8. III. How to calculate rail by distance class?
Eurostat proposal:
To create distance matrix at NUTS Level 2 with 'representative point' (rail station) in that NUTS region
and to apply it on the reported data in tonnes/passengers (Annex F)
in order to calculate tkm/pkm and indicate on which national territory this journey took place
allowing for 'territorialisation' of the tkm/pkm by distance class above/less 300 km

9. B. Rail distance matrix

10. GISCO data on railway network
GISCO, the GIS of the commission
Railway dataset (under consolidation)
Huge potential to support production of railway transport statistics

11. Objective Provide a railway distance matrix between NUTS 2 regions
What is the railway distance between two NUTS2 regions?
Railway distance between 2 points is obvious to define. How to define railway distance between two regions? ?
57.4km

12. Proposed method Select 'representative' points in each NUTS2 region.
Define the NUTS2 to NUTS2 railway distance as the railway distance between the selected representative points.

14. Representative point selection
How to choose NUTS2 region
representative point?
Proposed selection methods:
Nearest station to geographical centre
Nearest station to the population centre
Nearest station to the centre of the most populated municipality (LAU)

15. Representative point selection
List available as text file or on online viewer with validation tool

16. Options proposed by Eurostat
Option 1 Geographical centre – the most stable though not reflecting the population density
Option 2 Population centre – good proxy for passenger transport, but what about freight
Option 3 Most populated municipality (LAU) – more precise than 'population centre' but not stable as it reflect easy the changes within NUTS

17. C. Way forward
Discussion on the most appropriate option (1,2,3) for building a rail distance matrix
Member States' review of the proposed List of stations ('representative' points at NUTS2)
Implementation by Eurostat of a project on building a first version of rail distance matrix at NUTS2 level