GTFS Schedule Validation Report

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

Only the first 50 of 5476 affected records are displayed below.

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.
"fare_rules.txt"	17354	17362	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_260,10700_1076_1,27_5,499_1"
"fare_rules.txt"	17353	17363	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_260,10700_1076_1,27_5,498_1"
"fare_rules.txt"	17352	17364	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_260,10700_1076_1,27_5,497_1"
"fare_rules.txt"	17392	17400	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_260,10700_1076_1,22_4,499_1"
"fare_rules.txt"	17391	17401	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_260,10700_1076_1,22_4,498_1"
"fare_rules.txt"	17390	17402	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_260,10700_1076_1,22_4,497_1"
"fare_rules.txt"	17428	17436	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_260,10700_1076_1,21_1,499_1"
"fare_rules.txt"	17427	17437	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_260,10700_1076_1,21_1,498_1"
"fare_rules.txt"	17426	17438	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_260,10700_1076_1,21_1,497_1"
"fare_rules.txt"	17462	17470	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,20_1,499_1"
"fare_rules.txt"	17461	17471	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,20_1,498_1"
"fare_rules.txt"	17460	17472	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,20_1,497_1"
"fare_rules.txt"	17495	17503	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,18_5,499_1"
"fare_rules.txt"	17494	17504	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,18_5,498_1"
"fare_rules.txt"	17493	17505	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,18_5,497_1"
"fare_rules.txt"	17526	17534	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,35_1,499_1"
"fare_rules.txt"	17525	17535	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,35_1,498_1"
"fare_rules.txt"	17524	17536	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,35_1,497_1"
"fare_rules.txt"	17556	17564	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,36_1,499_1"
"fare_rules.txt"	17555	17565	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,36_1,498_1"
"fare_rules.txt"	17554	17566	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,36_1,497_1"
"fare_rules.txt"	17585	17593	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,983_2,499_1"
"fare_rules.txt"	17584	17594	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,983_2,498_1"
"fare_rules.txt"	17583	17595	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,983_2,497_1"
"fare_rules.txt"	17613	17621	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,38_2,499_1"
"fare_rules.txt"	17612	17622	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,38_2,498_1"
"fare_rules.txt"	17611	17623	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,38_2,497_1"
"fare_rules.txt"	17639	17647	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,39_1,499_1"
"fare_rules.txt"	17638	17648	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,39_1,498_1"
"fare_rules.txt"	17637	17649	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_210,10700_1076_1,39_1,497_1"
"fare_rules.txt"	17663	17671	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,40_2,499_1"
"fare_rules.txt"	17662	17672	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,40_2,498_1"
"fare_rules.txt"	17661	17673	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,40_2,497_1"
"fare_rules.txt"	17685	17693	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,492_2,499_1"
"fare_rules.txt"	17684	17694	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,492_2,498_1"
"fare_rules.txt"	17683	17695	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,492_2,497_1"
"fare_rules.txt"	17705	17713	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,493_2,499_1"
"fare_rules.txt"	17704	17714	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,493_2,498_1"
"fare_rules.txt"	17703	17715	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,493_2,497_1"
"fare_rules.txt"	17723	17731	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,494_2,499_1"
"fare_rules.txt"	17722	17732	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,494_2,498_1"
"fare_rules.txt"	17721	17733	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,494_2,497_1"
"fare_rules.txt"	17739	17747	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,495_2,499_1"
"fare_rules.txt"	17738	17748	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,495_2,498_1"
"fare_rules.txt"	17737	17749	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,495_2,497_1"
"fare_rules.txt"	17753	17761	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,496_2,499_1"
"fare_rules.txt"	17752	17762	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,496_2,498_1"
"fare_rules.txt"	17751	17763	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,496_2,497_1"
"fare_rules.txt"	17765	17773	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,497_1,499_1"
"fare_rules.txt"	17764	17774	"fare_id,route_id,origin_id,destination_id"	"10700_1076_1_170,10700_1076_1,497_1,498_1"

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"

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.

Only the first 50 of 320 affected records are displayed below.

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`.
2	"10001_1005_1"	3	"10001_1006_1"	""	"大学病院線"	3	"6260001001189"
2	"10001_1005_1"	4	"10001_1007_1"	""	"大学病院線"	3	"6260001001189"
2	"10001_1005_1"	5	"10001_1008_1"	""	"大学病院線"	3	"6260001001189"
2	"10001_1005_1"	6	"10001_1106_1"	""	"大学病院線"	3	"6260001001189"
2	"10001_1005_1"	7	"10001_2025_1"	""	"大学病院線"	3	"6260001001189"
2	"10001_1005_1"	8	"10001_2026_1"	""	"大学病院線"	3	"6260001001189"
2	"10001_1005_1"	9	"10001_2027_1"	""	"大学病院線"	3	"6260001001189"
2	"10001_1005_1"	10	"10001_2028_1"	""	"大学病院線"	3	"6260001001189"
11	"10006_2007_1"	12	"10006_2008_1"	""	"岡電高屋線"	3	"6260001001189"
11	"10006_2007_1"	13	"10006_2009_1"	""	"岡電高屋線"	3	"6260001001189"
11	"10006_2007_1"	14	"10006_2010_1"	""	"岡電高屋線"	3	"6260001001189"
15	"10010_2022_1"	16	"10010_2023_1"	""	"岡電高屋線［附属校］"	3	"6260001001189"
15	"10010_2022_1"	17	"10010_2024_1"	""	"岡電高屋線［附属校］"	3	"6260001001189"
18	"10100_1011_1"	19	"10100_1012_1"	""	"築港元町線"	3	"6260001001189"
18	"10100_1011_1"	20	"10100_1013_1"	""	"築港元町線"	3	"6260001001189"
18	"10100_1011_1"	21	"10100_1014_1"	""	"築港元町線"	3	"6260001001189"
18	"10100_1011_1"	22	"10100_1017_1"	""	"築港元町線"	3	"6260001001189"
18	"10100_1011_1"	23	"10100_1018_1"	""	"築港元町線"	3	"6260001001189"
24	"10150_1015_1"	25	"10150_1016_1"	""	"中央市場線"	3	"6260001001189"
26	"10200_1021_1"	27	"10200_1022_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
26	"10200_1021_1"	28	"10200_1023_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
26	"10200_1021_1"	29	"10200_1024_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
26	"10200_1021_1"	30	"10200_1025_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
26	"10200_1021_1"	31	"10200_1026_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
26	"10200_1021_1"	32	"10200_1027_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
26	"10200_1021_1"	33	"10200_1028_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
26	"10200_1021_1"	34	"10200_1029_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
26	"10200_1021_1"	35	"10200_1032_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
26	"10200_1021_1"	36	"10200_1034_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
26	"10200_1021_1"	37	"10200_1035_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
26	"10200_1021_1"	38	"10200_1036_1"	""	"岡山ろうさい病院・松浜町線"	3	"6260001001189"
39	"10400_1041_1"	40	"10400_1042_1"	""	"岡南飛行場線"	3	"6260001001189"
39	"10400_1041_1"	41	"10400_1043_1"	""	"岡南飛行場線"	3	"6260001001189"
39	"10400_1041_1"	42	"10400_1044_1"	""	"岡南飛行場線"	3	"6260001001189"
39	"10400_1041_1"	43	"10400_1046_1"	""	"岡南飛行場線"	3	"6260001001189"
44	"10500_1051_1"	45	"10500_1052_1"	""	"大東線"	3	"6260001001189"
44	"10500_1051_1"	46	"10500_1053_1"	""	"大東線"	3	"6260001001189"
44	"10500_1051_1"	47	"10500_1054_1"	""	"大東線"	3	"6260001001189"
44	"10500_1051_1"	48	"10500_1055_1"	""	"大東線"	3	"6260001001189"
49	"10600_1065_1"	50	"10600_1066_1"	""	"日赤病院線"	3	"6260001001189"
49	"10600_1065_1"	51	"10600_1069_1"	""	"日赤病院線"	3	"6260001001189"
52	"10700_1070_1"	53	"10700_1073_1"	""	"新保・万倍線"	3	"6260001001189"
52	"10700_1070_1"	54	"10700_1074_1"	""	"新保・万倍線"	3	"6260001001189"
52	"10700_1070_1"	55	"10700_1076_1"	""	"新保・万倍線"	3	"6260001001189"
52	"10700_1070_1"	56	"10700_1077_1"	""	"新保・万倍線"	3	"6260001001189"
52	"10700_1070_1"	57	"10700_1078_1"	""	"新保・万倍線"	3	"6260001001189"
52	"10700_1070_1"	58	"10700_1079_1"	""	"新保・万倍線"	3	"6260001001189"
52	"10700_1070_1"	59	"10700_1080_1"	""	"新保・万倍線"	3	"6260001001189"
60	"10800_1083_1"	61	"10800_1084_1"	""	"旧2号線"	3	"6260001001189"
60	"10800_1083_1"	62	"10800_1085_1"	""	"旧2号線"	3	"6260001001189"

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.
"stops.txt"	1372	"stop_name"	"蓬莱橋・夢二郷土美術館前（構内） "

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

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 3351 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

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 240 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"	"岡電高屋線［附属校］"	15
"routes.txt"	"route_long_name"	"岡電高屋線［附属校］"	16
"routes.txt"	"route_long_name"	"岡電高屋線［附属校］"	17
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	26
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	27
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	28
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	29
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	30
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	31
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	32
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	33
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	34
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	35
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	36
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	37
"routes.txt"	"route_long_name"	"岡山ろうさい病院・松浜町線"	38
"routes.txt"	"route_long_name"	"新保・万倍線"	52
"routes.txt"	"route_long_name"	"新保・万倍線"	53
"routes.txt"	"route_long_name"	"新保・万倍線"	54
"routes.txt"	"route_long_name"	"新保・万倍線"	55
"routes.txt"	"route_long_name"	"新保・万倍線"	56
"routes.txt"	"route_long_name"	"新保・万倍線"	57
"routes.txt"	"route_long_name"	"新保・万倍線"	58
"routes.txt"	"route_long_name"	"新保・万倍線"	59
"routes.txt"	"route_long_name"	"藤原団地・京山線"	76
"routes.txt"	"route_long_name"	"藤原団地・京山線"	77
"routes.txt"	"route_long_name"	"藤原団地・京山線"	78
"routes.txt"	"route_long_name"	"藤原団地・京山線"	79
"routes.txt"	"route_long_name"	"藤原団地・京山線"	80
"routes.txt"	"route_long_name"	"藤原団地・京山線"	81
"routes.txt"	"route_long_name"	"藤原団地・京山線"	82
"routes.txt"	"route_long_name"	"藤原団地・京山線"	83
"routes.txt"	"route_long_name"	"藤原団地・京山線"	84
"routes.txt"	"route_long_name"	"藤原団地・京山線"	85
"routes.txt"	"route_long_name"	"藤原団地・京山線"	86
"routes.txt"	"route_long_name"	"藤原団地・京山線"	87
"routes.txt"	"route_long_name"	"藤原団地・京山線"	88
"routes.txt"	"route_long_name"	"藤原団地・京山線"	89
"routes.txt"	"route_long_name"	"平田・北長瀬線"	116
"routes.txt"	"route_long_name"	"平田・北長瀬線"	117
"routes.txt"	"route_long_name"	"平田・北長瀬線"	118
"routes.txt"	"route_long_name"	"平田・北長瀬線"	119
"routes.txt"	"route_long_name"	"平田・北長瀬線"	120
"routes.txt"	"route_long_name"	"平田・北長瀬線"	121
"routes.txt"	"route_long_name"	"平田・北長瀬線"	122
"routes.txt"	"route_long_name"	"平田・北長瀬線"	123
"routes.txt"	"route_long_name"	"平田・北長瀬線"	124
"routes.txt"	"route_long_name"	"平田・北長瀬線"	125
"routes.txt"	"route_long_name"	"平田・北長瀬線"	126
"routes.txt"	"route_long_name"	"平田・北長瀬線"	127

stop_too_far_from_shape

Stop too far from trip shape.

Per GTFS Best Practices, route alignments (in shapes.txt) should be within 100 meters of stop locations which a trip serves. This potentially indicates a problem with the location of the stop or the path of the shape.

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.
1597	"2_3058_1"	"1087_1302115_20251231"	46432	"226_2"	"済生会病院前"	[34.671394444444445,133.9182361111111]	118.00264734650109

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 674 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.
8	"18_7"	"岡山駅"
11	"19_1"	"岡山駅前"
18	"19_8"	"岡山駅前"
19	"19_9"	"岡山駅前"
26	"22_3"	"ＮＴＴ岡山前"
28	"22_5"	"ＮＴＴ岡山前"
33	"27_1"	"天満屋"
47	"29_2"	"栄町"
49	"31_1"	"県庁前"
50	"31_2"	"県庁前"
53	"32_1"	"市役所入口"
54	"32_2"	"市役所入口"
55	"33_1"	"千日前・岡山芸術創造劇場ハレノワ南"
56	"33_2"	"千日前・岡山芸術創造劇場ハレノワ南"
108	"60_1"	"岡山南支援学校"
113	"61_5"	"大雲寺前"
130	"69_3"	"青江北"
131	"69_4"	"青江北"
134	"70_3"	"青江西"
135	"70_4"	"青江西"
145	"74_2"	"大東"
146	"75_1"	"錦貯水"
147	"76_1"	"藤田団地北"
148	"76_2"	"藤田団地北"
149	"77_1"	"藤田第二小学校沖"
150	"78_1"	"藤田団地南"
151	"78_2"	"藤田団地南"
152	"79_1"	"錦六区入口"
153	"79_2"	"錦六区入口"
154	"80_1"	"DCM岡山・Pモール藤田前"
155	"80_2"	"DCM岡山・Pモール藤田前"
156	"81_1"	"興陽高校前"
157	"81_2"	"興陽高校前"
158	"82_1"	"都六区入口"
159	"82_2"	"都六区入口"
160	"83_1"	"都六区下"
161	"83_2"	"都六区下"
162	"84_1"	"秀天橋"
163	"84_2"	"秀天橋"
164	"84_3"	"秀天橋"
165	"84_4"	"秀天橋"
166	"85_1"	"荘内支所前"
167	"85_2"	"荘内支所前"
168	"86_1"	"暮石"
169	"87_2"	"長尾農協前"
170	"88_2"	"滝"
171	"89_2"	"永井"
172	"90_2"	"永井中"
173	"91_1"	"永井上"
178	"93_3"	"十日市南"

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.

Only the first 50 of 63 affected records are displayed below.

shapeId (?) The faulty record's id.	csvRowNumber (?) The row number of the faulty record.
"2_1010_1"	100
"2_1017_1"	701
"2_1018_1"	774
"2_1023_1"	1096
"2_1028_1"	1513
"2_1046_1"	2309
"2_2012_1"	6151
"2_2014_1"	6432
"2_2015_1"	6858
"2_2032_1"	8811
"2_2034_1"	9180
"2_2059_1"	11718
"2_2074_1"	12456
"2_2076_1"	14530
"2_2083_1"	14720
"2_2111_1"	16125
"2_2112_1"	16147
"2_2113_1"	16183
"2_2114_1"	16215
"2_2135_1"	17165
"2_2137_1"	17562
"2_2145_1"	18200
"2_2146_1"	18243
"2_2147_1"	18281
"2_2156_1"	18440
"2_2244_1"	18838
"2_2245_1"	18952
"2_2536_1"	19146
"2_3019_1"	20230
"2_3022_1"	20364
"2_3023_1"	20431
"2_3024_1"	20492
"2_3030_1"	20558
"2_3033_1"	20776
"2_3037_1"	20935
"2_3039_1"	21072
"2_3077_1"	23724
"2_3113_1"	24424
"2_3130_1"	24459
"2_3221_1"	24614
"2_3243_1"	25101
"2_3330_1"	25360
"2_3335_1"	25626
"2_3337_1"	25649
"2_3338_1"	25703
"2_3339_1"	25730
"2_3340_1"	25752
"2_3431_1"	25776
"2_3432_1"	25822
"2_4023_1"	25985

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.
345	"174_1"	"倉敷駅"
378	"193_1"	"倉敷駅北口"

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

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"