GTFS Transit Data for United States - artesia-us by Transport-Usa

Detailed Overview of artesia-us Public Transport GTFS Data

The artesia-us GTFS feed, provided by Transport-Usa, delivers a comprehensive dataset for public transportation in United States. This feed, formatted in GTFS, covers an extensive network of 1 routes and 12 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 United States, as shown on the map, with routes extending over a total distance of 9.7 km.

Valid from November 1, 2024 to January 1, 2026, 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 artesia-us feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for United States - artesia-us by Transport-Usa with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-05-17)

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 artesia-us 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 United States. 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: 5ace1abf9a73abc9fa1c2537dcc7bb3fe57ea24a
    SHA256: 5c8507267bfd4f950781d9325fa6b79561b5c1ebd745813d6d4b9dde32b36a5d

    You can download the latest improved GTFS feed, now free of inconsistencies, ensuring that your project has the best data available. The license for this work is 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. The license for this work is 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. The license for this work is not specified.

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Source data - (2024-12-18)

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 artesia-us GTFS feed contains the original source data directly obtained from official providers in United States, 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: 3e7c2485cc614cf955a5cd5c185523eb1235a37b
    SHA256: d554fe68451bc563aeb3aa9d44e769a656e09b7205d7efb1dd2828d1fd147e58

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

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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.

    The license for this work is 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 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
artesia 12 (100%) 1 (100%)