nishiwaga — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-07-10T17:05:23Z,
for the dataset file:///shared/nishiwaga_ead517d8.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
西和賀町
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-08-07
Feed End Date:
2026-10-11

Files included


  1. agency.txt
  2. agency_jp.txt
  3. calendar.txt
  4. calendar_dates.txt
  5. fare_attributes.txt
  6. fare_rules.txt
  7. feed_info.txt
  8. office_jp.txt
  9. routes.txt
  10. routes_jp.txt
  11. stop_times.txt
  12. stops.txt
  13. translations.txt
  14. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 13
  • Shapes: 0
  • Stops: 139
  • Trips: 236

Specification Compliance report

220 notices reported (3 errors, 43 warnings, 174 infos)

Notice Code Severity Total
missing_required_column ERROR 3

missing_required_column

A required column is missing in the input file.

You can see more about this notice here.

filename (?) The name of the faulty file. fieldName (?) The name of the missing column.
"translations.txt" "field_name"
"translations.txt" "language"
"translations.txt" "table_name"
missing_feed_contact_email_and_url WARNING 1

missing_feed_contact_email_and_url

Best Practices for feed_info.txt suggest providing at least one of feed_contact_email and feed_contact_url.

You can see more about this notice here.

csvRowNumber (?) The row number of the validated record.
2
missing_recommended_field WARNING 14

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.
"fare_attributes.txt" 2 "agency_id"
"fare_attributes.txt" 3 "agency_id"
"fare_attributes.txt" 4 "agency_id"
"fare_attributes.txt" 5 "agency_id"
"fare_attributes.txt" 6 "agency_id"
"fare_attributes.txt" 7 "agency_id"
"fare_attributes.txt" 8 "agency_id"
"fare_attributes.txt" 9 "agency_id"
"fare_attributes.txt" 10 "agency_id"
"fare_attributes.txt" 11 "agency_id"
"fare_attributes.txt" 12 "agency_id"
"fare_attributes.txt" 13 "agency_id"
"fare_attributes.txt" 14 "agency_id"
"fare_attributes.txt" 15 "agency_id"
mixed_case_recommended_field WARNING 28

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.
"routes.txt" "route_long_name" "沢内おでかけ金(安ヶ沢・七内・下の沢方面)" 2
"routes.txt" "route_long_name" "湯田おでかけ金(下前・湯田方面)" 3
"routes.txt" "route_long_name" "沢内おでかけ月(新山・長瀬野・鍵飯方面)" 6
"routes.txt" "route_long_name" "沢内おでかけ木(貝沢野・新山・川舟方面)" 7
"routes.txt" "route_long_name" "湯田おでかけ木(新田郷・小繋沢方面)" 8
"routes.txt" "route_long_name" "沢内おでかけ水(下の沢・鍵飯・大野方面)" 9
"routes.txt" "route_long_name" "湯田おでかけ火(天ヶ瀬方面)" 11
"routes.txt" "route_long_name" "湯田おでかけ月(湯川・川尻方面)" 12
"routes.txt" "route_long_name" "沢内おでかけ火(貝沢野・川舟・泉沢方面)" 13
"routes.txt" "route_long_name" "湯田おでかけ水(柳沢・左草方面)" 14
"stops.txt" "stop_name" "西和賀町沢内庁舎(玄関)" 9
"stops.txt" "stop_name" "西和賀町湯田庁舎(玄関)" 32
"stops.txt" "stop_name" "西和賀町湯田庁舎(国道)" 44
"stops.txt" "stop_name" "西和賀町沢内庁舎(県道)" 56
"stops.txt" "stop_name" "新山(県道)" 64
"stops.txt" "stop_name" "県庁・市役所前(盛岡市)" 78
"stops.txt" "stop_name" "県庁・市役所前(盛岡市)" 79
"stops.txt" "stop_name" "新山(集落内)" 82
"trips.txt" "trip_headsign" "西和賀町沢内庁舎(玄関)" 4
"trips.txt" "trip_headsign" "西和賀町沢内庁舎(玄関)" 5
"trips.txt" "trip_headsign" "西和賀町沢内庁舎(玄関)" 192
"trips.txt" "trip_headsign" "西和賀町沢内庁舎(玄関)" 193
"trips.txt" "trip_headsign" "西和賀町沢内庁舎(玄関)" 230
"trips.txt" "trip_headsign" "西和賀町沢内庁舎(玄関)" 231
"trips.txt" "trip_headsign" "西和賀町沢内庁舎(玄関)" 232
"trips.txt" "trip_headsign" "西和賀町沢内庁舎(玄関)" 233
"trips.txt" "trip_headsign" "西和賀町沢内庁舎(玄関)" 236
"trips.txt" "trip_headsign" "西和賀町沢内庁舎(玄関)" 237
big_gap_in_service INFO 15

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"1_171_20250807" "2025-09-01" "2025-09-22" 20
"1_171_20250807" "2025-12-15" "2026-01-19" 34
"1_171_20250807" "2026-07-13" "2026-08-03" 20
"1_172_20250807" "2025-12-16" "2026-01-20" 34
"1_172_20250807" "2026-05-26" "2026-06-16" 20
"1_172_20250807" "2026-07-14" "2026-08-04" 20
"1_173_20250807" "2025-12-31" "2026-01-21" 20
"1_173_20250807" "2026-03-04" "2026-03-25" 20
"1_173_20250807" "2026-04-22" "2026-05-13" 20
"1_173_20250807" "2026-07-15" "2026-08-05" 20
"1_174_20250807" "2025-12-18" "2026-01-15" 27
"1_174_20250807" "2026-03-05" "2026-03-26" 20
"1_174_20250807" "2026-07-16" "2026-08-06" 20
"1_175_20250807" "2025-12-12" "2026-01-16" 34
"1_175_20250807" "2026-07-17" "2026-08-07" 20
unknown_column INFO 6

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.
"routes.txt" "jp_parent_route_id" 10
"trips.txt" "jp_trip_desc" 9
"trips.txt" "jp_trip_desc_symbol" 10
"trips.txt" "jp_office_id" 11
"translations.txt" "trans_id" 1
"translations.txt" "lang" 2
unknown_file INFO 3

unknown_file

A file is unknown.

You can see more about this notice here.

filename (?) The name of the unknown file.
"routes_jp.txt"
"agency_jp.txt"
"office_jp.txt"
unsorted_stop_times INFO 150

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

Only the first 50 of 150 affected records are displayed below.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"1_172_302_2_57_20250807" 2703 2768
"1_185_901_1_108_20250807" 6937 6974
"1_173_302_2_156_20250807" 4947 5012
"1_174_302_2_67_20250807" 3363 3428
"1_174_301_1_83_20250807" 856 919
"1_175_901_1_163_20250807" 7197 7234
"1_185_301_1_79_20250807" 591 655
"1_187_302_2_76_20250807" 3957 4022
"1_171_302_2_9_20250807" 2175 2239
"1_183_302_2_155_20250807" 4882 4946
"1_171_901_1_40_20250807" 6657 6695
"1_186_301_1_18_20250807" 228 293
"1_184_302_2_74_20250807" 3826 3889
"1_185_601_1_31_20250807" 6383 6486
"1_172_302_2_65_20250807" 3231 3295
"1_171_301_1_17_20250807" 162 227
"1_172_301_1_81_20250807" 724 787
"1_173_302_2_70_20250807" 3561 3626
"1_171_301_1_19_20250807" 294 359
"1_172_1001_1_41_20250807" 7337 7407
"1_175_301_1_88_20250807" 1186 1249
"1_184_901_1_90_20250807" 6737 6774
"1_175_302_2_72_20250807" 3694 3757
"1_175_201_1_4_20250807" 87 160
"1_171_901_1_159_20250807" 7036 7075
"1_187_901_1_92_20250807" 6816 6855
"1_172_302_2_7_20250807" 2043 2108
"1_187_301_1_84_20250807" 922 985
"1_175_302_2_64_20250807" 3165 3229
"1_185_901_1_162_20250807" 7157 7195
"1_174_302_2_59_20250807" 2836 2900
"1_172_302_2_73_20250807" 3760 3823
"1_174_302_2_54_20250807" 2637 2702
"1_183_302_2_61_20250807" 2967 3031
"1_184_301_1_82_20250807" 789 854
"1_186_302_2_9_20250807" 2176 2240
"1_183_301_1_77_20250807" 460 523
"1_187_302_2_158_20250807" 5079 5144
"1_186_302_2_12_20250807" 2374 2437
"1_184_801_1_37_20250807" 6572 6655
"1_171_401_1_26_20250807" 5575 5652
"1_185_302_2_63_20250807" 3100 3164
"1_174_901_1_162_20250807" 7156 7194
"1_185_302_2_54_20250807" 2638 2701
"1_187_302_2_64_20250807" 3166 3230
"1_172_1201_1_47_20250807" 7481 7582
"1_172_302_2_69_20250807" 3496 3559
"1_183_302_2_69_20250807" 3495 3560
"1_183_301_1_85_20250807" 988 1052
"1_172_302_2_155_20250807" 4881 4945