GTFS Transit Data for Italy - urbanopescia by Open-Data-Regione-Toscana

Detailed Overview of urbanopescia Public Transport GTFS Data

The urbanopescia GTFS feed, provided by Open-Data-Regione-Toscana, delivers a comprehensive dataset for public transportation in Italy. This feed, formatted in GTFS, covers an extensive network of 2 routes and 60 stops, making it indispensable for developers and transit enthusiasts working with detailed transit data and transport information.

With 1 operators contributing to this GTFS static feed, it ensures broad coverage and up-to-date scheduling in the GTFS format for a wide array of public transit options. The data spans a significant geographical area, primarily focusing on Italy, as shown on the map, with routes extending over a total distance of 34.9 km.

Valid from May 16, 2025 to December 31, 2025, this GTFS feed is a reliable resource for any project needing accurate and structured public transit data, whether you’re using a GTFS editor, building a transit app, or integrating GTFS realtime (GTFS RT) data into your systems.

Whether planning a journey or conducting transport research, the urbanopescia feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Italy - urbanopescia by Open-Data-Regione-Toscana with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-05-29)

Our team has addressed the most critical bugs in the dataset and rectified any inconsistencies to ensure optimal data quality.

Review our procedures list by clicking on the following link.

  • Our latest version of the urbanopescia GTFS feed has been fully corrected and enriched, ensuring it meets the highest GTFS standards. This updated feed addresses critical bugs and errors, providing accurate and reliable transit data for Italy. Our team has followed a detailed list of procedures to bring the source data up to GTFS format standards, making it indispensable for developers and transit planners.

    SHA1: d486c409e09bca6169c45766714767897c7e18c8
    SHA256: b2625f47e4029f0abfeafbc1bcc3cc43854fbee1d984d4801ad6dcc8b9620da9

    You can download the latest improved GTFS feed, now free of inconsistencies, ensuring that your project has the best data available. This work is licensed under a Busmaps_licence_v1..

    Download Now:

  • We’ve included a detailed GTFS data validation report, offering insights into any errors or warnings within the feed. This report is crucial for developers working with GTFS static data, ensuring that your applications and analyses are based on clean and accurate information. This work is licensed under a Busmaps_licence_v1..

    Download Now:

  • For advanced users, we have also prepared the transit data in GeoJSON format, compatible with open-source tools like QGIS. This format is perfect for those requiring enhanced spatial analysis capabilities alongside their GTFS data. This work is licensed under a Busmaps_licence_v1..

    Download Now:

Source data - (2025-05-07)

We obtain the GTFS directly from official sources, but it may contain errors or be unsuitable for use.

Check the source and improved validation files to observe the disparities.

  • The urbanopescia GTFS feed contains the original source data directly obtained from official providers in Italy, formatted in the GTFS standard. This data serves as the foundation for public transit applications and transit research. While it offers a comprehensive base, it is recommended to carefully review the data, as it may contain errors or inconsistencies that could impact its immediate usability.

    SHA1: 8bd94c2dcaa644ea4e8340e64205acb73ec28369
    SHA256: df81d67449fb3085a3c63ccc8fa5fdbbd03ce9f867cfd066e714103c37fad0b5

    This source data was downloaded from this link. This source data is licensed under CC_BY

    Download Now:

  • To ensure a clear understanding of the integrity of the original source data, we provide a detailed mobility data validation report. This report highlights any errors or warnings found in the source GTFS data, offering insight into areas that may require attention during data usage.

    This validation work is licensed under Busmaps_licence_v1..

    Download Now:

All data presented on this site is sourced from publicly available sources by our team of content managers. If you believe that a file has been posted in error or that an incorrect license has been attributed, please contact us at [email protected]. We will review your concerns promptly and take appropriate action.

Overlapping feeds

Feed Name Stops Overlap Number of overlapping stops.
We calculate duplicated stops using our own formula including geographic locations
Routes Overlap Number of overlapping routes.
We calculate duplicated routes using our own formula taking into consideration geographic locations
extraurbanopistoia 10 (16.67%) -
debole-extraurbano-pistoia 2 (3.33%) -