GTFS Transit Data for United Arab Emirates - rta-public-transport by Smart-Dubai-Office

Detailed Overview of rta-public-transport Public Transport GTFS Data

The rta-public-transport GTFS feed, provided by Smart-Dubai-Office, delivers a comprehensive dataset for public transportation in United Arab Emirates. This feed, formatted in GTFS, covers an extensive network of 207 routes and 2744 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 Arab Emirates, as shown on the map, with routes extending over a total distance of 10815.1 km.

Valid from January 3, 2025 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 rta-public-transport feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for United Arab Emirates - rta-public-transport by Smart-Dubai-Office with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-03-07)

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 rta-public-transport 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 Arab Emirates. 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: a4f13cf51bc015b36064d18fa1b8e80474281394
    SHA256: 6d795792ce79d79c32d537bb3233fd70dffd46db0de433e189da7e65dd46bbc9

    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 Custom_license..

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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 Custom_license..

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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 Custom_license..

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Source data - (2024-12-30)

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 rta-public-transport GTFS feed contains the original source data directly obtained from official providers in United Arab Emirates, 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: 191b83e20b0960e7597882c732f988f24676e0af
    SHA256: f1b841438ed5d4c0372dff80a1e654eda85b5290e386adcc81fa5c3814e8080c

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

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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 Custom_license..

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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.