GTFS Transit Data for Italy - ctm-cagliari by transitfeeds

Be careful - this feed has expired! (2020-08-11 - 2020-08-31)

Detailed Overview of ctm-cagliari Public Transport GTFS Data

The ctm-cagliari GTFS feed, provided by transitfeeds, delivers a comprehensive dataset for public transportation in Italy. This feed, formatted in GTFS, covers an extensive network of 36 routes and 933 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 732.6 km.

Be careful - this feed has expired! The feed was active from August 11, 2020 to August 31, 2020. Although this GTFS feed is no longer current, it can still be a valuable resource for historical analysis, research, or for comparison with current transit data.

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

Transit Data for Italy - ctm-cagliari by transitfeeds 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 ctm-cagliari 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: 4f9e1fb35c92e903573f7ef696a651c07fdc4270
    SHA256: e6adce2488e128a408f2802129b161256c0042c1600213d07cdeb3cc625f9caf

    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.

    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. The license for this work is not specified.

    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. The license for this work is not specified.

    Download Now:

Source data - (1980-01-01)

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 ctm-cagliari 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: e900ca4e969dc21a7238f922ccb6c12ba25fe21f
    SHA256: 8c0eeccaa56ac103144cf2bd304546d2dfc1b3042009391aaa75e9b1d0a595b1

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

    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.

    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
ctmcagliari 108 (11.58%) 27 (75%)