GTFS Transit Data for Indonesia - pemerintah-kota-bogor by Pemerintah-Kota-Bogor

Detailed Overview of pemerintah-kota-bogor Public Transport GTFS Data

The pemerintah-kota-bogor GTFS feed, provided by Pemerintah-Kota-Bogor, delivers a comprehensive dataset for public transportation in Indonesia. This feed, formatted in GTFS, covers an extensive network of 24 routes and 343 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 Indonesia, as shown on the map, with routes extending over a total distance of 398.7 km.

Valid from January 1, 2016 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 pemerintah-kota-bogor feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

Transit Data for Indonesia - pemerintah-kota-bogor by Pemerintah-Kota-Bogor with Stops on Map

Enhanced and Corrected GTFS Data Resources (2025-04-05)

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 pemerintah-kota-bogor 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 Indonesia. 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: 5fdb13882b64ab259c7eea6c09abe9470ca76850
    SHA256: eb7994be1a78aa46c58b0bf1e775ff96ddb2994b7ce4768bec233bc54f95b5e8

    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..

    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. 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 - (2019-01-14)

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 pemerintah-kota-bogor GTFS feed contains the original source data directly obtained from official providers in Indonesia, 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: 5d0d5a84885cfc0e6fb8601ec66aea4d2ddbd3a5
    SHA256: 922646c5fe330ccfbb29ce49355fa3b3bdcd829ae30e5d3fd3008f28d38f21ff

    This source data was downloaded from this link. This source data is licensed under CC0_1.0

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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 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
sariksma-bogor - 7 (29.17%)