The open data of the Public Transport Register provides valuable input for studies related to, for example, public transport network planning, mapping access to public services for residents in different regions, as well as assessing the social and economic impacts of public transport networks.

The Public Transport Register open data consists of an extract from the national public transport register and contains information on domestic bus, tram, trolleybus, rail, and ferry services. The data describes:

  • Operators (e.g., operator name and contact details);
  • Routes (e.g., route number and name, mode of transport);
  • Trips (e.g., direction of travel, wheelchair accessibility of vehicles);
  • Stops (e.g., stop names and geographic coordinates);
  • Timetables (e.g., arrival and departure times at stops);
  • Ticket prices;
  • Geometric shape of route alignments.

The data is updated daily by the Estonian Road Administration (Maanteeamet) and is provided in GTFS format, which enables the integration of public transport schedules with geographic data.

Use of Data

Contact

Ministry of Regional Affairs and Agriculture

Ministry of Regional Affairs and Agriculture

ishaldus@agri.ee

https://www.agri.ee/

EU Fund
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Infotechnological Mobility Observatory

The research was conducted using the research infrastructure “Infotechnological Mobility Observatory” funded by the Estonian Research Council (TARISTU24-TK18)

Beneficiary: University of Tartu

Partners: Tallinn University of Technology, Tallinn University, Statistics Estonia

Period: 2014 - 2029

Brief description: Growing spatial mobility is one of the important changes in modern society, which is related to the topics of external and internal migration, urbanization, entrepreneurship, inequality and regional development. Up-to-date and high-quality data are needed to study spatial mobility. The goal of IMO is to develop an innovative data infrastructure supporting mobility research, integrating geographically and longitudinally diverse national statistics and innovative IT data sources.