shinjobankotsu-shinjobankotsu — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-28T07:00:55Z,
for the dataset file:///shared/shinjobankotsu-shinjobankotsu_fae42ea7.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
新常磐交通株式会社
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-12-15
Feed End Date:
2026-04-30

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. frequencies.txt
  9. office_jp.txt
  10. pattern_jp.txt
  11. routes.txt
  12. shapes.txt
  13. stop_times.txt
  14. stops.txt
  15. transfers.txt
  16. translations.txt
  17. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 67
  • Shapes: 133
  • Stops: 1421
  • Trips: 1577

Specification Compliance report

52436 notices reported (0 errors, 52416 warnings, 20 infos)

Notice Code Severity Total
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`.
38 "050900" 39 "051000" "" "植田菊田小上遠野線" 3 "2380001013060"
leading_or_trailing_whitespaces WARNING 1

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"translations.txt" 54 "translation" "磐城南台/菊田小 "
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 155

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.

Only the first 50 of 155 affected records are displayed below.

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"
"fare_attributes.txt" 16 "agency_id"
"fare_attributes.txt" 17 "agency_id"
"fare_attributes.txt" 18 "agency_id"
"fare_attributes.txt" 19 "agency_id"
"fare_attributes.txt" 20 "agency_id"
"fare_attributes.txt" 21 "agency_id"
"fare_attributes.txt" 22 "agency_id"
"fare_attributes.txt" 23 "agency_id"
"fare_attributes.txt" 24 "agency_id"
"fare_attributes.txt" 25 "agency_id"
"fare_attributes.txt" 26 "agency_id"
"fare_attributes.txt" 27 "agency_id"
"fare_attributes.txt" 28 "agency_id"
"fare_attributes.txt" 29 "agency_id"
"fare_attributes.txt" 30 "agency_id"
"fare_attributes.txt" 31 "agency_id"
"fare_attributes.txt" 32 "agency_id"
"fare_attributes.txt" 33 "agency_id"
"fare_attributes.txt" 34 "agency_id"
"fare_attributes.txt" 35 "agency_id"
"fare_attributes.txt" 36 "agency_id"
"fare_attributes.txt" 37 "agency_id"
"fare_attributes.txt" 38 "agency_id"
"fare_attributes.txt" 39 "agency_id"
"fare_attributes.txt" 40 "agency_id"
"fare_attributes.txt" 41 "agency_id"
"fare_attributes.txt" 42 "agency_id"
"fare_attributes.txt" 43 "agency_id"
"fare_attributes.txt" 44 "agency_id"
"fare_attributes.txt" 45 "agency_id"
"fare_attributes.txt" 46 "agency_id"
"fare_attributes.txt" 47 "agency_id"
"fare_attributes.txt" 48 "agency_id"
"fare_attributes.txt" 49 "agency_id"
"fare_attributes.txt" 50 "agency_id"
"fare_attributes.txt" 51 "agency_id"
missing_timepoint_value WARNING 49460

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 49460 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "00_00_100101_001_0600" 1
3 "00_00_100101_001_0600" 2
4 "00_00_100101_001_0600" 3
5 "00_00_100101_001_0600" 4
6 "00_00_100101_001_0600" 5
7 "00_00_100101_001_0600" 6
8 "00_00_100101_001_0600" 7
9 "00_00_100101_001_0600" 8
10 "00_00_100101_001_0600" 9
11 "00_00_100101_001_0600" 10
12 "00_00_100101_001_0600" 11
13 "00_00_100101_001_0600" 12
14 "00_00_100101_001_0600" 13
15 "00_00_100101_001_0600" 14
16 "00_00_100101_001_0600" 15
17 "00_00_100101_001_0600" 16
18 "00_00_100101_001_0600" 17
19 "00_00_100101_001_0600" 18
20 "00_00_100101_001_0600" 19
21 "00_00_100101_001_0600" 20
22 "00_00_100101_001_0600" 21
23 "00_00_100101_001_0600" 22
24 "00_00_100101_001_0600" 23
25 "00_00_100101_001_0600" 24
26 "00_00_100101_001_0600" 25
27 "00_00_100101_001_0600" 26
28 "00_00_100101_001_0600" 27
29 "00_00_100101_001_0600" 28
30 "00_00_100101_001_0600" 29
31 "00_00_100101_001_0600" 30
32 "00_00_100101_001_0600" 31
33 "00_00_100101_001_0600" 32
34 "00_00_100101_001_0600" 33
35 "00_00_100101_001_0600" 34
36 "00_00_100101_001_0600" 35
37 "00_00_100101_001_0600" 36
38 "00_00_100101_001_0600" 37
39 "00_00_100101_001_0600" 38
40 "00_00_100101_001_0600" 39
41 "00_00_100101_001_0600" 40
42 "00_00_100101_001_0600" 41
43 "00_00_100101_001_0600" 42
44 "00_00_100101_001_0600" 43
45 "00_00_100101_001_0600" 44
46 "00_00_100101_001_0600" 45
47 "00_00_100101_001_0600" 46
48 "00_00_100101_001_0600" 47
49 "00_00_100101_001_0600" 48
50 "00_00_100101_001_0600" 49
51 "00_00_100101_001_0600" 50
mixed_case_recommended_field WARNING 1574

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.

Only the first 50 of 1574 affected records are displayed below.

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" "昌平中高(A)コース" 48
"routes.txt" "route_long_name" "昌平中高(B)コース" 49
"routes.txt" "route_long_name" "立野循環(内郷)線" 51
"routes.txt" "route_long_name" "立野循環(御台)線" 52
"routes.txt" "route_long_name" "浪江FH2R線" 60
"stops.txt" "stop_name" "宮ノ下(いわき市鹿島町)" 142
"stops.txt" "stop_name" "宮ノ下(いわき市鹿島町)" 143
"stops.txt" "stop_name" "坂下(いわき市内郷)" 376
"stops.txt" "stop_name" "坂下(いわき市内郷)" 377
"stops.txt" "stop_name" "関場(いわき市小川町)" 626
"stops.txt" "stop_name" "関場(いわき市小川町)" 627
"stops.txt" "stop_name" "赤沼入口(平下神谷国道)" 717
"stops.txt" "stop_name" "赤沼入口(平下神谷国道)" 718
"stops.txt" "stop_name" "赤沼入口(平下神谷旧道)" 784
"stops.txt" "stop_name" "赤沼入口(平下神谷旧道)" 785
"stops.txt" "stop_name" "白坂(いわき市平上高久)" 804
"stops.txt" "stop_name" "白坂(いわき市平上高久)" 805
"stops.txt" "stop_name" "下町(いわき市平豊間)" 855
"stops.txt" "stop_name" "下町(いわき市平豊間)" 856
"stops.txt" "stop_name" "川畑(いわき市永崎)" 885
"stops.txt" "stop_name" "川畑(いわき市永崎)" 886
"stops.txt" "stop_name" "支所入口(NTT前)" 989
"stops.txt" "stop_name" "関場(いわき市山田町)" 1173
"stops.txt" "stop_name" "関場(いわき市山田町)" 1174
"stops.txt" "stop_name" "宮ノ下(双葉郡川内村)" 1334
"stops.txt" "stop_name" "宮ノ下(双葉郡川内村)" 1335
"stops.txt" "stop_name" "役場・かわうちの湯前" 1342
"stops.txt" "stop_name" "役場・かわうちの湯前" 1343
"stops.txt" "stop_name" "坂下(双葉郡川内村)" 1358
"stops.txt" "stop_name" "坂下(双葉郡川内村)" 1359
"stops.txt" "stop_name" "下町(双葉郡川内村)" 1375
"stops.txt" "stop_name" "下町(双葉郡川内村)" 1376
"stops.txt" "stop_name" "さくらモール・診療所前" 1395
"stops.txt" "stop_name" "さくらモール・診療所前" 1396
"stops.txt" "stop_name" "とみおかアーカイブ・ミュージアム" 1403
"trips.txt" "trip_headsign" "いわき駅 行き" 2
"trips.txt" "trip_headsign" "海星高校 行き" 3
"trips.txt" "trip_headsign" "泉駅 行き" 4
"trips.txt" "trip_headsign" "小名浜 行き" 5
"trips.txt" "trip_headsign" "泉駅 行き" 6
"trips.txt" "trip_headsign" "中央営業所 行き" 7
"trips.txt" "trip_headsign" "いわき駅 行き" 8
"trips.txt" "trip_headsign" "小名浜 行き" 9
"trips.txt" "trip_headsign" "いわき駅 行き" 10
"trips.txt" "trip_headsign" "立野循環(御台境・医療センター・福祉センター)" 11
"trips.txt" "trip_headsign" "小名浜 行き" 12
"trips.txt" "trip_headsign" "いわき駅 行き" 13
"trips.txt" "trip_headsign" "草野 行き" 14
"trips.txt" "trip_headsign" "いわき駅 行き" 15
"trips.txt" "trip_headsign" "小名浜 行き" 16
translation_unknown_table_name WARNING 1224

translation_unknown_table_name

A translation references an unknown or missing GTFS table.

You can see more about this notice here.

Only the first 50 of 1224 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tableName (?) `table_name` of the faulty record.
8 "agency_jp"
9 "agency_jp"
10 "agency_jp"
11 "agency_jp"
12 "agency_jp"
13 "agency_jp"
20 "office_jp"
21 "office_jp"
22 "office_jp"
23 "office_jp"
24 "office_jp"
25 "office_jp"
26 "pattern_jp"
27 "pattern_jp"
28 "pattern_jp"
29 "pattern_jp"
30 "pattern_jp"
31 "pattern_jp"
32 "pattern_jp"
33 "pattern_jp"
34 "pattern_jp"
35 "pattern_jp"
36 "pattern_jp"
37 "pattern_jp"
38 "pattern_jp"
39 "pattern_jp"
40 "pattern_jp"
41 "pattern_jp"
42 "pattern_jp"
43 "pattern_jp"
44 "pattern_jp"
45 "pattern_jp"
46 "pattern_jp"
47 "pattern_jp"
48 "pattern_jp"
49 "pattern_jp"
50 "pattern_jp"
51 "pattern_jp"
52 "pattern_jp"
53 "pattern_jp"
54 "pattern_jp"
55 "pattern_jp"
56 "pattern_jp"
57 "pattern_jp"
58 "pattern_jp"
59 "pattern_jp"
60 "pattern_jp"
61 "pattern_jp"
62 "pattern_jp"
63 "pattern_jp"
platform_without_parent_station INFO 12

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.
2 "100103" "いわき駅前"
3 "100104" "いわき駅前"
4 "100105" "いわき駅前"
5 "100106" "いわき駅前"
6 "100107" "いわき駅前"
7 "100108" "いわき駅前"
8 "100109" "いわき駅前"
9 "100110" "いわき駅前"
10 "100111" "いわき駅前"
1010 "320101" "泉駅前"
1011 "320102" "泉駅前"
1012 "320103" "泉駅前"
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.
"routes.txt" "jp_parent_route_id" 10
"trips.txt" "jp_trip_desc" 11
"trips.txt" "jp_trip_desc_symbol" 12
"trips.txt" "jp_office_id" 13
"trips.txt" "jp_pattern_id" 14
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.
"agency_jp.txt"
"office_jp.txt"
"pattern_jp.txt"