GTFS Transit Data for Argentina - buenosaires-transporte by Subterrneos-de-Buenos-Aire

Detailed Overview of buenosaires-transporte Public Transport GTFS Data

The buenosaires-transporte GTFS feed, provided by Subterrneos-de-Buenos-Aire, delivers a comprehensive dataset for public transportation in Argentina. This feed, formatted in GTFS, covers an extensive network of 1567 routes and 43253 stops, making it indispensable for developers and transit enthusiasts working with detailed transit data and transport information.

With 143 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 Argentina, as shown on the map, with routes extending over a total distance of 52002.2 km.

Valid from September 24, 2024 to January 1, 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 buenosaires-transporte feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Argentina - buenosaires-transporte by Subterrneos-de-Buenos-Aire with Stops on Map

Enhanced and Corrected GTFS Data Resources (2024-10-07)

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 buenosaires-transporte 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 Argentina. 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: f40d5b8a0c83302092185b34a422e8574a5592c1
    SHA256: 90f74982059fcce0fef8aed2b4c3772a0184b0b77ff00d266b55861e86bd8062

    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 Not_specified

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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 Not_specified.

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  • 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 Not_specified.

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Source data - (2024-09-25)

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 buenosaires-transporte GTFS feed contains the original source data directly obtained from official providers in Argentina, 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:c7de078f07dfb205ef6f6d028c15133822992dd8
    SHA256:d47169459716fe094984e6c31021f05d80969628393e28d2962f027ea6f92303

    This source data was downloaded from this link. This source data is licensed under CC BY-NC 4.0

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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 Not_specified.

    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 NameStops OverlapNumber of overlapping stops.
We calculate duplicated stops using our own formula including geographic locations
Routes OverlapNumber of overlapping routes.
We calculate duplicated routes using our own formula taking into consideration geographic locations
dft-gtfs-1 (0.06%)
east-midlands-dft-1 (0.06%)
generic-eu-1 (0.06%)
great-britain-1 (0.06%)