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Eurostat Data Highlights Strong Rail Travel Across The EU

According to Eurostat, the European Union witnessed 8.7 billion rail journeys last year, translating to an extraordinary 444.5 billion passenger-kilometres across its member states. This data not only highlights the sheer scale of rail travel but also underscores its growing significance as a mode of transportation within the region.

Central European Powerhouses

Germany and France stand out as the dominant forces driving this massive volume of rail travel. Germany achieved 109.1 billion passenger-kilometres, while France closely followed with 107.3 billion. Italy, securing the third position with 55.9 billion passenger-kilometres, further emphasizes the prominence of well-established rail systems in central Europe.

Contrasting Contributions Across The Union

While major economies accounted for the largest share of passenger traffic, rail usage remained considerably lower across several smaller member states. Lithuania and Estonia each recorded 0.4 billion passenger-kilometres, while Luxembourg reached 0.6 billion. Slightly higher figures were reported in Latvia and Greece at 0.7 billion passenger-kilometres, with Slovenia recording 0.9 billion. These differences continue reflecting variations in rail infrastructure, population size and dependence on alternative transport networks across the bloc.

Per Capita Rail Usage

Population-adjusted figures reveal a slightly different picture, with Luxembourg recording the highest rail usage per capita in the EU at 46.2 passengers per resident. Strong adoption rates were also recorded in Austria and Denmark, which posted ratios of 35.6 and 35.2, respectively, highlighting the importance of rail transport within their domestic mobility systems. At the lower end of the ranking, Greece recorded 1.4 passengers per capita, while Lithuania reached 1.8. Bulgaria also remained among the weakest-performing countries on a per capita basis.

Implications For European Rail Policy

The latest Eurostat figures arrive as policymakers in Brussels continue advancing discussions around stronger rail integration and improved cross-border connectivity within Europe. Large disparities between member states continue to highlight uneven infrastructure development across the EU, while higher-performing rail markets demonstrate the broader economic and mobility benefits associated with established railway systems.

A New Twitter-Inspired Social Network Is Taking Shape

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.

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