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Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.

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Length of railway lines equipped with the railway traffic management system (ERTMS) by type of signalling (rail_if_traff)

Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Eurostat, the statistical office of the European Union

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The European Union Agency for Railways (ERA) and Eurostat have concluded an Administrative Agreement that includes, inter alia, the regular transmission and dissemination by Eurostat of ERA information related to the rail transport safety and to the interoperability of the rail system. Such information will meet the requirements of Regulation (EU) 643/2018 on rail statistics and respond to the requests of the European Parliament for new data. One of the requirements of the agreement is to publish data on lengths of lines/tracks equipped with the ERTMS (European Railway Traffic Management System) and data on the number of vehicles equipped with ERTMS.

 

Currently, one dataset is available, namely the Length of railway lines equipped with the railway traffic management system by type of signalling (rail_if_traff).

 

The data in this dataset comes from the databases and registers maintained by the European Union Agency for Railways. They are reported by Member States in accordance with applicable European legislation. Data in this table represent the length of lines equipped with ERTMS in the countries which have this equipment or which have available data.

 

For each section of a railway line, a parameter describes the ETCS (European Train Control System) available: track-based level (level 1), radio-signal (level 2) and signal directly from train (level 3) respectively. The aggregation is done for all levels of ETCS. The ETCS is one of the two components of the overall European Railway Traffic Management System.

 

The data will be produced for each Member State and on the annual basis with the reference date of January 1 of previous year.

 

ERTMS/ETCS statistics are defined in Directive (EU) 2016/797 of the European Parliament and of the Council of 11 May 2016 on the interoperability of the rail system within the European Union and in the Commission Implementing Regulation (EU) 2019/777 of 16 May 2019 on the common specifications for the register of railway infrastructure and repealing Implementing Decision 2014/880/EU. They are reported by the Member States to the Register of Infrastructure (RINF) maintained by the ERA.

 

ERTMS is designed to gradually replace the existing incompatible systems throughout Europe. This will bring considerable benefits to the railway sector as it will boost international freight and passenger transport. In addition, ERTMS is the arguably the most performant train control system in the world and brings significant advantages in terms of maintenance, costs savings, safety, reliability, punctuality and traffic capacity.

24 January 2023

Not applicable.

Length of tracks and railway lines in kilometers (km).

ERTMS/ETCS statistics - tracks and lines that are part of the railway system of each Member State, as covered by the application of the Interoperability Directive (Directive (EU) 2016/797). 

Member States of the European Union; EFTA states.

Calendar year.

Common methodology is available, however accuracy of data could be impacted by human errors during parameters encoding.

Microdata for individual sections of railway lines is collected with length in kilometers.

ERA compiles data.

ERTMS/ETCS statistics – At national level, data are queried in the respective database and national aggregates are made available.

Annually.

10-12 months after the reference period (calendar year).

Geographical comparability is generally high. Common definitions and guidance for reporting process is available.

Comparability over time is generally high.