GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-02-04T04:03:45Z,
for the dataset file:///shared/fintraffic-kela-suuret2_0452be57.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Waltti/Seutuplus
Publisher URL:
https://seutuplus.fi/
Feed Email:
koontipalvelu.support@weaselsoftware.fi
Feed Language:
Finnish
Feed Start Date:
N/A
Feed End Date:
N/A

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. transfers.txt
  10. translations.txt
  11. trips.txt

Counts

  • Agencies: 1
  • Blocks: 44
  • Routes: 126
  • Shapes: 238
  • Stops: 3408
  • Trips: 516

Specification Compliance report

130 notices reported (4 errors, 116 warnings, 10 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 4

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"12578_T2026-KO-VS-M-P_1311_1_171000_171000_0" "318688" 20350 10.6192 20 20349 10.6192 19
"12578_T2026-KO-VS-M-P_1311_1_120500_120500_0" "318688" 20219 10.6192 20 20218 10.6192 19
"12578_T2026-KO-VS-M-P_1311_1_095500_095500_0" "318688" 20187 10.6192 20 20186 10.6192 19
"12578_T2026-KO-VS-M-P_1311_1_085500_085500_0" "318688" 20155 10.6192 20 20154 10.6192 19
duplicate_route_name WARNING 1

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
115 "78977" 116 "78978" "426" "Mynämäki-Mietoinen" 3 "1446103769"
equal_shape_distance_same_coordinates WARNING 9

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"12578_196" 49166 41.5624 523 49165 41.5624 522
"12578_49" 84667 44.2835 537 84666 44.2835 536
"12578_37" 78269 31.5355 266 78268 31.5355 265
"12578_174" 37087 10.6192 97 37086 10.6192 96
"12578_157" 28956 31.5355 266 28955 31.5355 265
"12578_153" 26753 37.6701 455 26752 37.6701 454
"12578_99" 112852 35.0618 357 112851 35.0618 356
"12578_53" 88003 42.1299 532 88002 42.1299 531
"12578_73" 97871 38.9538 424 97870 38.9538 423
fast_travel_between_consecutive_stops WARNING 6

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
360 "12578_T2026-BR-SK-KOULP_330_0_064500_064500_0" "21567" 181.11459105539922 1.0061921725299956 560 1 "317697" "Karvia" "06:45:00" 561 2 "319629" "Kiviluomantie E" "06:45:20"
362 "12578_T2026-BR-SK-KOULP_330_0_142000_142000_0" "21567" 181.11459105539922 1.0061921725299956 672 1 "317697" "Karvia" "14:20:00" 673 2 "319629" "Kiviluomantie E" "14:20:20"
361 "12578_T2026-BR-SK-KOULP_330_0_075500_075500_0" "21567" 181.11459105539922 1.0061921725299956 616 1 "317697" "Karvia" "07:55:00" 617 2 "319629" "Kiviluomantie E" "07:55:20"
103 "12578_T2026-BR-SK-M-P_1041_0_151500_151500_0" "21519" 150.22203710872 4.965672893316022 3840 12 "318282" "Lapijoki I" "15:30:47" 3841 13 "318287" "Krisantie P" "15:32:46"
363 "12578_T2026-BR-SK-KOULP_330_1_132000_132000_0" "21567" 167.82792113910156 1.1188528075940103 780 53 "319628" "Kiviluomantie P" "14:09:36" 781 54 "317697" "Karvia" "14:10:00"
414 "12578_T2026-KO-VS-KOULP_4381_0_065000_065000_0" "21594" 180.94843334745408 1.5079036112287838 18634 3 "317435" "Tampereentie P" "06:50:58" 18635 4 "317156" "Hautausmaa P" "06:51:28"
missing_recommended_field WARNING 2

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"feed_info.txt" 2 "feed_start_date"
"feed_info.txt" 2 "feed_end_date"
mixed_case_recommended_field WARNING 4

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"stops.txt" "stop_name" "Y-tien vaihtopysäkki I" 1575
"stops.txt" "stop_name" "Y-tien risteys I" 2553
"stops.txt" "stop_name" "Y-tien risteys L" 2554
"stops.txt" "stop_name" "Y-tien vaihtopysäkki L" 3293
non_ascii_or_non_printable_char WARNING 69

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 69 affected records are displayed below.

filename (?) Name of the faulty file. csvRowNumber (?) Row number of the faulty record. columnName (?) Name of the column where the error occurred. fieldValue (?) Faulty value.
"stops.txt" 2 "zone_id" "FÖLI"
"stops.txt" 3 "zone_id" "FÖLI"
"stops.txt" 4 "zone_id" "FÖLI"
"stops.txt" 5 "zone_id" "FÖLI"
"stops.txt" 6 "zone_id" "FÖLI"
"stops.txt" 7 "zone_id" "FÖLI"
"stops.txt" 8 "zone_id" "FÖLI"
"stops.txt" 9 "zone_id" "FÖLI"
"stops.txt" 10 "zone_id" "FÖLI"
"stops.txt" 11 "zone_id" "FÖLI"
"stops.txt" 12 "zone_id" "FÖLI"
"stops.txt" 13 "zone_id" "FÖLI"
"stops.txt" 14 "zone_id" "FÖLI"
"stops.txt" 15 "zone_id" "FÖLI"
"stops.txt" 16 "zone_id" "FÖLI"
"stops.txt" 17 "zone_id" "FÖLI"
"stops.txt" 18 "zone_id" "FÖLI"
"stops.txt" 19 "zone_id" "FÖLI"
"stops.txt" 20 "zone_id" "FÖLI"
"stops.txt" 21 "zone_id" "FÖLI"
"stops.txt" 22 "zone_id" "FÖLI"
"stops.txt" 23 "zone_id" "FÖLI"
"stops.txt" 24 "zone_id" "FÖLI"
"stops.txt" 25 "zone_id" "FÖLI"
"stops.txt" 26 "zone_id" "FÖLI"
"stops.txt" 27 "zone_id" "FÖLI"
"stops.txt" 28 "zone_id" "FÖLI"
"stops.txt" 29 "zone_id" "FÖLI"
"stops.txt" 30 "zone_id" "FÖLI"
"stops.txt" 31 "zone_id" "FÖLI"
"stops.txt" 32 "zone_id" "FÖLI"
"stops.txt" 33 "zone_id" "FÖLI"
"stops.txt" 34 "zone_id" "FÖLI"
"stops.txt" 35 "zone_id" "FÖLI"
"stops.txt" 36 "zone_id" "FÖLI"
"stops.txt" 37 "zone_id" "FÖLI"
"stops.txt" 38 "zone_id" "FÖLI"
"stops.txt" 39 "zone_id" "FÖLI"
"stops.txt" 40 "zone_id" "FÖLI"
"stops.txt" 41 "zone_id" "FÖLI"
"stops.txt" 42 "zone_id" "FÖLI"
"stops.txt" 43 "zone_id" "FÖLI"
"stops.txt" 44 "zone_id" "FÖLI"
"stops.txt" 45 "zone_id" "FÖLI"
"stops.txt" 46 "zone_id" "FÖLI"
"stops.txt" 47 "zone_id" "FÖLI"
"stops.txt" 48 "zone_id" "FÖLI"
"stops.txt" 49 "zone_id" "FÖLI"
"stops.txt" 50 "zone_id" "FÖLI"
"stops.txt" 51 "zone_id" "FÖLI"
route_color_contrast WARNING 9

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
"21516" 2 "#008B63" "#008B63"
"21517" 3 "#008B63" "#008B63"
"21518" 4 "#008B63" "#008B63"
"21519" 5 "#008B63" "#008B63"
"21560" 45 "#008B63" "#008B63"
"21561" 46 "#008B63" "#008B63"
"21562" 47 "#008B63" "#008B63"
"21565" 50 "#008B63" "#008B63"
"21566" 51 "#008B63" "#008B63"
stop_too_far_from_shape_using_user_distance WARNING 16

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

You can see more about this notice here.

tripCsvRowNumber (?) The row number of the faulty record from `trips.txt`. shapeId (?) The id of the shape that is referred to. tripId (?) The id of the trip that is referred to. stopTimeCsvRowNumber (?) The row number of the faulty record from `stop_times.txt`. stopId (?) The id of the stop that is referred to. stopName (?) The name of the stop that is referred to. match (?) Latitude and longitude pair of the location. geoDistanceToShape (?) Distance from stop to shape.
182 "12578_23" "12578_T2026-BR-VS-M-P_118M_1_161500_161500_0" 12158 "311989" "Vaunukatu" [60.45862093900639,22.264770278909097] 275.7901306288558
193 "12578_185" "12578_T2026-BR-VS-S_1193_1_123000_123000_0" 15181 "311989" "Vaunukatu" [60.45862093900639,22.264770278909097] 275.7901306288558
145 "12578_160" "12578_T2026-BR-VS-L_1181_1_114500_114500_0" 9666 "311989" "Vaunukatu" [60.45862093900639,22.264770278909097] 275.7901306288558
184 "12578_173" "12578_T2026-BR-VS-M-P_1186_1_071500_071500_0" 11913 "311989" "Vaunukatu" [60.45862093900639,22.264770278909097] 275.7901306288558
217 "12578_156" "12578_T2026-KO-VS-M-P_23_1_180000_180000_0" 21525 "313652" "Markulantie" [60.471830000000004,22.2286] 100.89121289770884
177 "12578_154" "12578_T2026-BR-VS-M-P_1183_1_090000_090000_0" 11884 "311989" "Vaunukatu" [60.45862093900639,22.264770278909097] 275.7901306288558
228 "12578_109" "12578_T2026-KO-VS-M-P_27_1_063000_075500_0" 21696 "313652" "Markulantie" [60.471830000000004,22.2286] 100.89121289770884
109 "12578_104" "12578_T2026-BR-VS-L_1171_1_103000_103000_0" 9406 "311989" "Vaunukatu" [60.45862093900639,22.264770278909097] 275.7901306288558
212 "12578_224" "12578_T2026-KO-VS-M-P_23_1_072500_072500_0" 21097 "313652" "Markulantie" [60.471830000000004,22.2286] 100.89121289770884
238 "12578_95" "12578_T2026-ME-VS-M-P_22_1_141500_141500_0" 23203 "313652" "Markulantie" [60.471830000000004,22.2286] 100.89121289770884
139 "12578_94" "12578_T2026-BR-VS-M-P_1175_1_073000_073000_0" 11040 "311989" "Vaunukatu" [60.45862093900639,22.264770278909097] 275.7901306288558
178 "12578_230" "12578_T2026-BR-VS-M-P_1188_1_074500_074500_0" 11936 "311989" "Vaunukatu" [60.45862093900639,22.264770278909097] 275.7901306288558
188 "12578_204" "12578_T2026-BR-VS-M-P_49306992_1_193000_193000_0" 14276 "311989" "Vaunukatu" [60.45862093900639,22.264770278909097] 275.7901306288558
200 "12578_62" "12578_T2026-KO-VS-L_23_1_101000_112500_0" 19350 "313652" "Markulantie" [60.471830000000004,22.2286] 100.89121289770884
237 "12578_52" "12578_T2026-ME-VS-M-P_22_1_072500_072500_0" 23108 "313652" "Markulantie" [60.471830000000004,22.2286] 100.89121289770884
234 "12578_75" "12578_T2026-ME-VS-L_22_1_102000_102000_0" 22822 "313652" "Markulantie" [60.471830000000004,22.2286] 100.89121289770884
platform_without_parent_station INFO 4

platform_without_parent_station

A platform has no parent_station field set.

This is different from location_without_parent_station since it is less severe.

You can see more about this notice here.

csvRowNumber (?) Row number of the faulty record. stopId (?) The id of the faulty record. stopName (?) The stop name of the faulty record.
1370 "317881" "Pori matkakeskus laituri 5"
1371 "317882" "Pori matkakeskus laituri 6"
1372 "317883" "Pori matkakeskus laituri 7"
3085 "393266" "Rauma, linja-autoasema"
unknown_column INFO 5

unknown_column

A column name is unknown.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the unknown column. index (?) The index of the faulty column.
"stop_times.txt" "mean_duration_factor" 17
"stop_times.txt" "mean_duration_offset" 18
"stop_times.txt" "safe_duration_factor" 19
"stop_times.txt" "safe_duration_offset" 20
"stops.txt" "digiroad_id" 16
unused_station INFO 1

unused_station

Unused station.

A stop has location_type STATION (1) but does not appear in any stop's parent_station.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
3084 "393265" "Turku"