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
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
A. Modal split indicators
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
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
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)
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
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
B. Rail distance matrix
GISCO data on railway network GISCO, the GIS of the commission Railway dataset (under consolidation) Huge potential to support production of railway transport statistics
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
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.
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)
Representative point selection List available as text file or on online viewer with validation tool http://ec.europa.eu/eurostat/statistical-atlas/gis/viewer/?config=transport.json&mids=2,tr-nuts-centre,tr-nuts-populated,tr-pop-centro,pot-stations,2013-2-CODES,CNTR-OVL&o=1,1,1,1,1,1,0.7&ch=11¢er=47.21947,10.19613,5&
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
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