chutetsu-bus — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-22T02:54:47Z,
for the dataset file:///shared/chutetsu-bus_0b5e745a.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
中鉄バス株式会社
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2026-08-13
Feed End Date:
2027-01-24

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. shapes.txt
  12. stop_times.txt
  13. stops.txt
  14. translations.txt
  15. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 8
  • Shapes: 47
  • Stops: 345
  • Trips: 325

Specification Compliance report

879 notices reported (163 errors, 708 warnings, 8 infos)

Notice Code Severity Total
duplicate_key ERROR 1

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

filename (?) The name of the faulty file oldCsvRowNumber (?) The row of the first occurrence. newCsvRowNumber (?) The row of the other occurrence. fieldName1 (?) Composite key's first field name. fieldValue1 (?) Composite key's first value.
"translations.txt" 909 910 "table_name,field_name,language,field_value" "stops,stop_name,en,倉敷駅北口"
foreign_key_violation ERROR 162

foreign_key_violation

Wrong foreign key.

A foreign key references the primary key of another file. A foreign key violation means that the foreign key referenced from a given row (the child file) cannot be found in the corresponding file (the parent file). The Foreign keys are defined in the specification under "Type" for each file.

You can see more about this notice here.

Only the first 50 of 162 affected records are displayed below.

childFilename (?) The name of the file from which reference is made. childFieldName (?) The name of the field that makes reference. parentFilename (?) The name of the file that is referred to. parentFieldName (?) The name of the field that is referred to. fieldValue (?) The faulty record's value. csvRowNumber (?) The row of the faulty record.
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3051_1" 2
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3051_1" 3
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3051_1" 4
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3051_1" 5
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3051_1" 6
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3051_1" 7
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3051_1" 8
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 9
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 10
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 11
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 12
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 13
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 14
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 15
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 16
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 17
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 18
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 19
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 20
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 21
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 22
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 23
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 24
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 25
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 26
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 27
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3052_1" 28
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 29
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 30
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 31
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 32
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 33
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 34
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 35
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 36
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 37
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 38
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 39
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 40
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 41
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 42
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 43
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 44
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 45
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 46
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 47
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 48
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 49
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 50
"trips.txt" "shape_id" "shapes.txt" "shape_id" "2_3055_1" 51
expired_calendar WARNING 333

expired_calendar

Dataset should not contain date ranges for services that have already expired.

This warning takes into account the calendar_dates.txt file as well as the calendar.txt file.

You can see more about this notice here.

Only the first 50 of 333 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
2 "1_1_20171213"
3 "1_4_20171213"
4 "1_7_20171213"
5 "1_1_20171219"
8 "1_1_20171222"
9 "1_4_20171222"
10 "1_7_20171222"
12 "1_9_20171229"
13 "1_1_20180201"
14 "1_4_20180201"
15 "1_7_20180201"
16 "1_1_20180401"
17 "1_4_20180401"
18 "1_7_20180401"
19 "1_1_20180608"
20 "1_4_20180608"
21 "1_7_20180608"
22 "1_1_20180813"
23 "1_4_20180813"
24 "1_7_20180813"
25 "1_1_20180916"
26 "1_4_20180916"
27 "1_1_20181003"
28 "1_4_20181003"
29 "1_1_20181101"
30 "1_4_20181101"
31 "1_1_20181201"
32 "1_4_20181201"
33 "1_1_20190116"
34 "1_4_20190116"
35 "1_1_20190401"
36 "1_4_20190401"
37 "1_1_20190518"
38 "1_4_20190518"
39 "1_1_20190601"
40 "1_4_20190601"
41 "1_1_20190720"
42 "1_4_20190720"
43 "1_1_20190801"
44 "1_4_20190801"
45 "1_1_20190805"
46 "1_4_20190805"
47 "1_1_20190813"
48 "1_4_20190813"
49 "1_1_20191001"
50 "1_4_20191001"
51 "1_1_20191201"
52 "1_4_20191201"
53 "1_1_20191228"
54 "1_4_20191228"
fast_travel_between_consecutive_stops WARNING 1

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.
310 "4_4_3011_1_2322_20260813" "4_304_20260813" 156.68187859823578 107.06595037546113 9705 1 "11036_1" "神戸三ノ宮駅前" "15:20:00" 9706 2 "11047_2" "山陽インター" "16:00:00"
fast_travel_between_far_stops WARNING 1

fast_travel_between_far_stops

A transit vehicle moves too fast between two far stops.

Two stops are considered "far" if they are more than 10 km apart. This normally indicates a more serious problem than too fast travel between consecutive stops.

The speed threshold depends on route type and are the same as fast_travel_between_consecutive_stops.

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.
310 "4_4_3011_1_2322_20260813" "4_304_20260813" 156.68187859823578 107.06595037546113 9705 1 "11036_1" "神戸三ノ宮駅前" "15:20:00" 9706 2 "11047_2" "山陽インター" "16:00:00"
leading_or_trailing_whitespaces WARNING 5

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" 909 "translation" "Kurashiki Sta. North Gate. "
"translations.txt" 4922 "field_value" "蓬莱橋・夢二郷土美術館前(構内) "
"translations.txt" 4923 "translation" "蓬莱橋・夢二郷土美術館前(構内) "
"translations.txt" 4923 "field_value" "蓬莱橋・夢二郷土美術館前(構内) "
"translations.txt" 4924 "field_value" "蓬莱橋・夢二郷土美術館前(構内) "
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 269

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 269 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"
mixed_case_recommended_field WARNING 7

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" "天満屋・岡山駅⇔180号線方面" 2
"routes.txt" "route_long_name" "53号線" 3
"routes.txt" "route_long_name" "岡山⇔真庭方面(落合・久世・勝山)" 6
"stops.txt" "stop_name" "足守プラザ前(新町)" 177
"stops.txt" "stop_name" "足守プラザ前(新町)" 178
"stops.txt" "stop_name" "稲荷山(最上稲荷)" 240
"stops.txt" "stop_name" "稲荷山(最上稲荷)" 241
same_name_and_description_for_stop WARNING 10

same_name_and_description_for_stop

Same name and description for stop.

The GTFS spec defines stops.txt stop_description as:

Description of the location that provides useful, quality information. Do not simply duplicate the name of the location.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty record. stopDesc (?) The faulty record's `stop_desc`.
18 "34_1" "駅前町"
19 "220_1" "岡ビル前"
67 "717_1" "半田山ハイツ東区"
68 "718_1" "ゴルフセンター前"
69 "719_1" "半田山ハイツ中区"
70 "720_1" "半田山ハイツ西区"
71 "721_1" "本村"
74 "723_1" "免許センター"
107 "740_1" "薬局前"
108 "741_1" "国立病院"
stop_without_stop_time WARNING 56

stop_without_stop_time

A stop in stops.txt is not referenced by any stop_times.stop_id.

Such stops are not used by any trip and normally do not provide user value. This notice may indicate a typo in stop_times.txt.

You can see more about this notice here.

Only the first 50 of 56 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
139 "10033_1" "小松橋"
140 "10033_2" "小松橋"
141 "10034_1" "五軒屋下"
142 "10034_2" "五軒屋下"
143 "10035_1" "五軒屋"
144 "10035_2" "五軒屋"
145 "10036_1" "辛川西"
146 "10036_2" "辛川西"
147 "10037_1" "境目"
148 "10037_2" "境目"
149 "10038_1" "吉備津神社参道口"
150 "10038_2" "吉備津神社参道口"
151 "10039_1" "吉備津駅口"
152 "10039_2" "吉備津駅口"
153 "10040_1" "真金十字路"
154 "10040_2" "真金十字路"
155 "10041_1" "立田"
156 "10041_2" "立田"
157 "10042_1" "稲荷参道口"
158 "10042_2" "稲荷参道口"
159 "10043_1" "高松駅前"
160 "10043_2" "高松駅前"
161 "10044_1" "高松中学校前"
162 "10044_2" "高松中学校前"
163 "10045_1" "三手口"
164 "10045_2" "三手口"
165 "10046_1" "大井川"
166 "10046_2" "大井川"
167 "10047_1" "足守駅"
168 "10047_2" "足守駅"
169 "10048_1" "下土田"
170 "10048_2" "下土田"
171 "10049_1" "西阿曽口"
172 "10049_2" "西阿曽口"
173 "10050_1" "中村"
174 "10050_2" "中村"
175 "10051_1" "廻り淵"
176 "10051_2" "廻り淵"
177 "10052_1" "足守プラザ前(新町)"
178 "10052_2" "足守プラザ前(新町)"
179 "10053_1" "中之町"
180 "10053_2" "中之町"
181 "10054_1" "足守郵便局前"
182 "10054_2" "足守郵便局前"
183 "10055_1" "川崎町"
184 "10055_2" "川崎町"
185 "10056_1" "大井〔1〕"
186 "10056_2" "大井〔1〕"
187 "10058_2" "吉備津神社"
188 "10058_9" "吉備津神社"
unused_shape WARNING 25

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"4_1700_1" 1374
"4_1701_1" 1438
"4_1710_1" 1516
"4_1711_1" 1606
"4_1740_1" 1700
"4_1750_1" 2260
"4_1751_1" 2572
"4_1760_1" 2773
"4_1761_1" 2886
"4_1770_1" 3018
"4_1771_1" 3284
"4_21_1" 4093
"4_220_1" 4228
"4_221_1" 4508
"4_230_1" 4845
"4_231_1" 5002
"4_330_1" 9553
"4_331_1" 9730
"4_390_1" 9899
"4_410_1" 10781
"4_430_1" 11666
"4_431_1" 11788
"4_440_1" 11940
"4_441_1" 12180
"4_450_1" 12447
big_gap_in_service INFO 1

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.
"5_2_20241005" "2024-11-15" "2024-12-16" 30
unknown_column INFO 4

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
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"