GTFS Transit Data for Italy - debole-extraurbano-pistoia by Open-Data-Regione-Toscana

Detailed Overview of debole-extraurbano-pistoia Public Transport GTFS Data

The debole-extraurbano-pistoia 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 7 routes and 511 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 676.1 km.

Valid from April 10, 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 debole-extraurbano-pistoia feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Italy - debole-extraurbano-pistoia by Open-Data-Regione-Toscana with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-04-23)

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 debole-extraurbano-pistoia 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: 93c24bf5e7d4de1da6c919c526f68eeeedf94888
    SHA256: 0ade4e00408812aafbc6f0c3c1f2950ea5f0f8bb89519dee36dda4d711dac7e1

    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..

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  • 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..

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Source data - (2025-04-08)

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 debole-extraurbano-pistoia 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: d304e5719f8f9fed5a5024df9628b1406867b868
    SHA256: 3c1fa2786d58d8398bb67398663a4ad67f122e8eced2cd79d2e6a41d9d1361b0

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

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  • 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 214 (42.04%) -
urbanopistoia 14 (2.75%) -
urbanopescia 2 (0.39%) -