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GTFS Transit Data for Indonesia - sariksma-bogor by Pemerintah-Kota-Bogor

Detailed Overview of sariksma-bogor Public Transport GTFS Data

The sariksma-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 30 routes and 305 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 6027.5 km.

Valid from January 1, 2020 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 sariksma-bogor feed provides the precise GTFS static data required to create insightful and user-friendly transportation solutions.

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

Enhanced and Corrected GTFS Data Resources (2025-04-06)

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.

  • Enhanced GTFS Data for Indonesia - Corrected & Enriched

    Our latest version of the sariksma-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: daeb3c51be8ede3df35475823e84eb2f6d3ff8f3
    SHA256: 357ea7b2d5ef0972a47cb8ff2a7ccbc61e8bdd62e77920af6f3f4ec34971de9a

    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:

  • GTFS Data Validation Report

    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:

  • GeoJSON Format Data for Advanced Analysis

    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 - (2020-05-07)

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.

  • GTFS Source Data for Indonesia - Official and Licensed

    The sariksma-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: 4de3e71750d1c65c90b2b60c6c25039f7acfdeaa
    SHA256: f7933680ae129305ed8ba6a5ab18a3b9784236bd8f42f0114fe395ba6c09104b

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

    Download Now:

  • GTFS Data Validation Report

    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
pemerintah-kota-bogor - 6 (20%)