lineeregionali — GTFS Transit Data for Italy

Active
Open-Data-Regione-Toscana Italy April 10, 2026 — December 31, 2026

About This Feed

The lineeregionali GTFS feed by Open-Data-Regione-Toscana provides structured public transit data for Italy, covering 11 routes and 478 stops operated by 1 transit agencies. Formatted in the General Transit Feed Specification (GTFS) standard, this dataset is ready for integration with transit apps, routing engines, and urban planning tools.

Valid from April 10, 2026 to December 31, 2026. Suitable for production use in transit applications, GTFS editors, and GTFS-RT integrations.

Data is automatically validated and corrected. View our quality pipeline →

Transit map showing lineeregionali routes and stops in Italy
Explore 11 routes, 478 stops, 1 agencies

Browse routes, stops, and agencies from this specific feed. Public pages show merged data from all feeds — sign in to access per-feed breakdowns useful for GTFS integration and debugging.

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Download Data

Enhanced & Validated Recommended

Updated 2026-04-23

Cleaned, corrected, and validated against GTFS specifications. View corrections.

ZIP GTFS Feed — Corrected & Enriched
1.07 MB
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This work is licensed under a Busmaps_licence_v1. Content Hash: e374aebed454851d24c509f4486d279665135f26
ZIP Validation Report
0.01 MB
Download
0Errors
0Warnings
0Info
Top Issues
GeoJSON GeoJSON Data
0.02 MB
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Original Source

Obtained 2026-03-25

Unmodified GTFS data from official sources. May contain errors or inconsistencies.

ZIP GTFS Source Data
1.85 MB
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Source: Official download License: CC_BY Content Hash: 49553a4a4b2fda740f1b9cf2a3967dc79294bf18
ZIP Validation Report
0.05 MB
Download
0Errors
1,224Warnings
0Info
Top Issues
stop too far from shape using user distance864
trip distance exceeds shape distance below threshold359
missing recommended file1

Overlapping Feeds

Feeds that share stops or routes with this dataset.

Feed Stops Overlap Routes Overlap
toscana-regionale 9 (81.82%)
extraurbanosiena 127 (26.57%)
urbanoprato 60 (12.55%)
extraurbanoprato 56 (11.72%)
extraurbanoarezzo 46 (9.62%)
extraurbanogrosseto 45 (9.41%)
emg-extraurbano-pisa 42 (8.79%)
urbanosiena 35 (7.32%)
extraurbanofirenze 21 (4.39%)
emg-extraurbano-civitella-in-valdichiana 12 (2.51%)
extraurbanolivorno 12 (2.51%)
servizi-area-poggibonsi 11 (2.3%)
debole-extraurbano-livorno 9 (1.88%)
extraurbanolucca 9 (1.88%)
urbanopiombino 9 (1.88%)
servizi-sostitutivi-ferro 7 (1.46%)
emg-extraurbano-monte-sansavino 6 (1.26%)
urbanolucca 6 (1.26%)
emg-extraurbano-lucca 5 (1.05%)
urbanocollevaldelsa 5 (1.05%)
extraurbanopisa 3 (0.63%)
urbanoareametropoli 3 (0.63%)
emg-extraurbano-siena 2 (0.42%)
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Frequently Asked Questions

What is GTFS data?

General Transit Feed Specification (GTFS) is an open data format for public transit schedules and geographic information. Created by Google and TriMet, it defines a common format for transit agencies to publish their data, enabling developers to build interoperable transit applications, trip planners, and mobility analytics tools.

What is the difference between enhanced and source data?

Source data is the original GTFS feed obtained directly from the transit agency or official provider. The enhanced version has been processed by our team to fix common errors, remove inconsistencies, and ensure compliance with GTFS specifications. We recommend using the enhanced version for production applications.

Can I use this data in my application?

Data usage depends on the license specified by the original provider. Check the license information in the download section above. Many GTFS feeds are published under open data licenses that allow free use with attribution. Always verify the license terms before integrating data into your project.

How do I validate a GTFS feed?

Each feed includes a validation report that documents errors and warnings. You can also use tools like the MobilityData GTFS Validator to independently validate the data. Our enhanced feeds have already been processed to resolve the most critical validation issues.

All data on this site is sourced from publicly available sources. If you believe a file has been posted in error or an incorrect license has been attributed, please contact us.