GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-24T02:28:09Z,
for the dataset file:///shared/odakyubus-aiis.zip. No country code was provided.

Notice Code

Severity

Total

foreign_key_violation

ERROR

54252

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 54252 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"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8552
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8553
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8554
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8555
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8556
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8557
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8558
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8559
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8560
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8561
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8562
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8563
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8564
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8565
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8566
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8567
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8568
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8569
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8570
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8571
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8572
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8573
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8574
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8575
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8576
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8577
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8578
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8579
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8580
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8581
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8582
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8583
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8584
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8585
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8586
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8587
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8588
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8589
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8590
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8591
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8592
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8593
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8594
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8595
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8596
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8597
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8598
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8599
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8600
"trips.txt"	"service_id"	"calendar.txt or calendar_dates.txt"	"service_id"	"1100_10"	8601

missing_required_column

ERROR

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

WARNING

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`.
107	"30100_2"	112	"30104_2"	"鷹６５"	"三鷹駅〜深大寺"	3	"1012401021275"
15	"10304_1"	138	"30211_1"	"吉０１"	"大沢〜吉祥寺駅中央口"	3	"1012401021275"
14	"10303_2"	139	"30211_2"	"吉０１"	"吉祥寺駅〜大沢"	3	"1012401021275"
225	"35201_2"	227	"35203_2"	"【境南】東循環"	"武蔵野市ムーバス境南東循環"	3	"1012401021275"
226	"35202_2"	228	"35204_2"	"【境南】西循環"	"武蔵野市ムーバス境南西循環"	3	"1012401021275"
237	"40003_1"	239	"40041_1"	""	"狛江駅北口〜（市役所）〜狛江営業所"	3	"1012401021275"
233	"40001_1"	241	"40044_1"	""	"調布駅南口〜狛江営業所"	3	"1012401021275"
234	"40001_2"	242	"40044_2"	""	"狛江営業所〜調布駅南口"	3	"1012401021275"
151	"30305_1"	292	"40514_1"	"調３１"	"調布駅北口〜（野崎八幡）〜調布駅北口"	3	"1012401021275"
332	"40614_2"	346	"40821_1"	"成０５"	"成城学園前駅西口〜仙川駅入口〜狛江駅北口"	3	"1012401021275"
487	"60733_1"	488	"60733_2"	"Ｃコース"	"ｉバスＣコース　平尾・南多摩駅路線"	3	"1012401021275"
409	"50507_1"	511	"65104_1"	"新０４"	"向原〜新百合ヶ丘駅"	3	"1012401021275"
410	"50507_2"	512	"65104_2"	"新０４"	"新百合ヶ丘駅〜向原"	3	"1012401021275"

fast_travel_between_consecutive_stops

WARNING

100000

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.

Only the first 50 of 100000 affected records are displayed below.

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.
61208	"1300_6_600000746"	"30402_1"	1198.547139340883	0.33292976092802307	607300	2	"10320_1"	"白百合女子大学入口"	"12:06:00"	607301	3	"10318_1"	"中原一丁目"	"12:06:01"
43777	"1300_3_300000746"	"30402_1"	1198.547139340883	0.33292976092802307	502617	2	"10320_1"	"白百合女子大学入口"	"12:06:00"	502618	3	"10318_1"	"中原一丁目"	"12:06:01"
49256	"1300_4_400000746"	"30402_1"	1198.547139340883	0.33292976092802307	537647	2	"10320_1"	"白百合女子大学入口"	"12:06:00"	537648	3	"10318_1"	"中原一丁目"	"12:06:01"
54724	"1300_5_500000746"	"30402_1"	1198.547139340883	0.33292976092802307	572270	2	"10320_1"	"白百合女子大学入口"	"12:06:00"	572271	3	"10318_1"	"中原一丁目"	"12:06:01"
61115	"1300_6_600001374"	"30307_2"	999.8101434021703	0.2777250398339362	616008	1	"30501_2"	"三鷹駅"	"14:13:00"	616009	2	"30502_2"	"法専寺前"	"14:13:01"
49163	"1300_4_400001374"	"30307_2"	999.8101434021703	0.2777250398339362	546355	1	"30501_2"	"三鷹駅"	"14:13:00"	546356	2	"30502_2"	"法専寺前"	"14:13:01"
54631	"1300_5_500001374"	"30307_2"	999.8101434021703	0.2777250398339362	580978	1	"30501_2"	"三鷹駅"	"14:13:00"	580979	2	"30502_2"	"法専寺前"	"14:13:01"
43684	"1300_3_300001374"	"30307_2"	999.8101434021703	0.2777250398339362	511325	1	"30501_2"	"三鷹駅"	"14:13:00"	511326	2	"30502_2"	"法専寺前"	"14:13:01"
61115	"1300_6_600001374"	"30307_2"	1306.4340661705896	0.36289835171405266	616017	10	"40505_3"	"井口新田"	"14:22:00"	616018	11	"31711_1"	"市境"	"14:22:01"
49163	"1300_4_400001374"	"30307_2"	1306.4340661705896	0.36289835171405266	546364	10	"40505_3"	"井口新田"	"14:22:00"	546365	11	"31711_1"	"市境"	"14:22:01"
54631	"1300_5_500001374"	"30307_2"	1306.4340661705896	0.36289835171405266	580987	10	"40505_3"	"井口新田"	"14:22:00"	580988	11	"31711_1"	"市境"	"14:22:01"
43684	"1300_3_300001374"	"30307_2"	1306.4340661705896	0.36289835171405266	511334	10	"40505_3"	"井口新田"	"14:22:00"	511335	11	"31711_1"	"市境"	"14:22:01"
70676	"1600_7_700001784"	"60818_1"	791.3895231764666	0.21983042310457404	1185433	8	"51609_2"	"平尾団地"	"09:29:00"	1185434	9	"51608_2"	"平尾小学校"	"09:29:01"
81313	"1600_9_900001170"	"60818_1"	791.3895231764666	0.21983042310457404	1223621	8	"51609_2"	"平尾団地"	"09:29:00"	1223622	9	"51608_2"	"平尾小学校"	"09:29:01"
12593	"1600_10_1000001170"	"60818_1"	791.3895231764666	0.21983042310457404	966630	8	"51609_2"	"平尾団地"	"09:29:00"	966631	9	"51608_2"	"平尾小学校"	"09:29:01"
29694	"1600_13_1300001184"	"60818_1"	791.3895231764666	0.21983042310457404	1033322	8	"51609_2"	"平尾団地"	"09:29:00"	1033323	9	"51608_2"	"平尾小学校"	"09:29:01"
76590	"1600_8_800001170"	"60818_1"	791.3895231764666	0.21983042310457404	1201990	8	"51609_2"	"平尾団地"	"09:29:00"	1201991	9	"51608_2"	"平尾小学校"	"09:29:01"
70676	"1600_7_700001784"	"60818_1"	706.5829669870654	0.19627304638529597	1185435	10	"51607_2"	"台原"	"09:30:00"	1185436	11	"51610_2"	"ひらお苑入口"	"09:30:01"
81313	"1600_9_900001170"	"60818_1"	706.5829669870654	0.19627304638529597	1223623	10	"51607_2"	"台原"	"09:30:00"	1223624	11	"51610_2"	"ひらお苑入口"	"09:30:01"
12593	"1600_10_1000001170"	"60818_1"	706.5829669870654	0.19627304638529597	966632	10	"51607_2"	"台原"	"09:30:00"	966633	11	"51610_2"	"ひらお苑入口"	"09:30:01"
29694	"1600_13_1300001184"	"60818_1"	706.5829669870654	0.19627304638529597	1033324	10	"51607_2"	"台原"	"09:30:00"	1033325	11	"51610_2"	"ひらお苑入口"	"09:30:01"
76590	"1600_8_800001170"	"60818_1"	706.5829669870654	0.19627304638529597	1201992	10	"51607_2"	"台原"	"09:30:00"	1201993	11	"51610_2"	"ひらお苑入口"	"09:30:01"
35472	"1300_15_1500000940"	"30402_1"	1198.547139340883	0.33292976092802307	442723	2	"10320_1"	"白百合女子大学入口"	"19:57:00"	442724	3	"10318_1"	"中原一丁目"	"19:57:01"
46923	"5200_3_300000147"	"160601_2"	702.3548251119215	0.19509856253108931	1267992	3	"61303_1"	"平和台入口"	"20:23:00"	1267993	4	"65108_1"	"きつねくぼ緑地前"	"20:23:01"
64266	"5200_6_600000147"	"160601_2"	702.3548251119215	0.19509856253108931	1272777	3	"61303_1"	"平和台入口"	"20:23:00"	1272778	4	"65108_1"	"きつねくぼ緑地前"	"20:23:01"
8540	"5200_1_100000147"	"160601_2"	702.3548251119215	0.19509856253108931	1265224	3	"61303_1"	"平和台入口"	"20:23:00"	1265225	4	"65108_1"	"きつねくぼ緑地前"	"20:23:01"
52391	"5200_4_400000147"	"160601_2"	702.3548251119215	0.19509856253108931	1269587	3	"61303_1"	"平和台入口"	"20:23:00"	1269588	4	"65108_1"	"きつねくぼ緑地前"	"20:23:01"
58875	"5200_5_500000147"	"160601_2"	702.3548251119215	0.19509856253108931	1271182	3	"61303_1"	"平和台入口"	"20:23:00"	1271183	4	"65108_1"	"きつねくぼ緑地前"	"20:23:01"
60825	"1300_6_600000093"	"30207_2"	1325.1657418538707	0.36810159495940853	602291	1	"10140_2"	"武蔵境駅南口"	"09:50:00"	602292	2	"40502_2"	"境南二丁目"	"09:50:01"
54341	"1300_5_500000093"	"30207_2"	1325.1657418538707	0.36810159495940853	567261	1	"10140_2"	"武蔵境駅南口"	"09:50:00"	567262	2	"40502_2"	"境南二丁目"	"09:50:01"
60825	"1300_6_600000093"	"30207_2"	1133.7875469935684	0.31494098527599124	602292	2	"40502_2"	"境南二丁目"	"09:50:01"	602293	3	"10138_2"	"井口・日赤入口"	"09:50:02"
54341	"1300_5_500000093"	"30207_2"	1133.7875469935684	0.31494098527599124	567262	2	"40502_2"	"境南二丁目"	"09:50:01"	567263	3	"10138_2"	"井口・日赤入口"	"09:50:02"
60825	"1300_6_600000093"	"30207_2"	1605.6478550798713	0.446013293077742	602293	3	"10138_2"	"井口・日赤入口"	"09:50:02"	602294	4	"31504_2"	"日本製鋼住宅前"	"09:50:03"
54341	"1300_5_500000093"	"30207_2"	1605.6478550798713	0.446013293077742	567263	3	"10138_2"	"井口・日赤入口"	"09:50:02"	567264	4	"31504_2"	"日本製鋼住宅前"	"09:50:03"
60825	"1300_6_600000093"	"30207_2"	853.2618867588385	0.23701719076634403	602294	4	"31504_2"	"日本製鋼住宅前"	"09:50:03"	602295	5	"30910_1"	"東野住宅"	"09:50:04"
54341	"1300_5_500000093"	"30207_2"	853.2618867588385	0.23701719076634403	567264	4	"31504_2"	"日本製鋼住宅前"	"09:50:03"	567265	5	"30910_1"	"東野住宅"	"09:50:04"
60825	"1300_6_600000093"	"30207_2"	749.4090859093061	0.2081691905303628	602295	5	"30910_1"	"東野住宅"	"09:50:04"	602296	6	"30911_1"	"二中前"	"09:50:05"
54341	"1300_5_500000093"	"30207_2"	749.4090859093061	0.2081691905303628	567265	5	"30910_1"	"東野住宅"	"09:50:04"	567266	6	"30911_1"	"二中前"	"09:50:05"
60825	"1300_6_600000093"	"30207_2"	1108.4646845700315	0.30790685682500873	602296	6	"30911_1"	"二中前"	"09:50:05"	602297	7	"40507_2"	"西野"	"09:50:06"
54341	"1300_5_500000093"	"30207_2"	1108.4646845700315	0.30790685682500873	567266	6	"30911_1"	"二中前"	"09:50:05"	567267	7	"40507_2"	"西野"	"09:50:06"
60825	"1300_6_600000093"	"30207_2"	1271.427180880462	0.3531742169112394	602297	7	"40507_2"	"西野"	"09:50:06"	602298	8	"30813_1"	"国際基督教大学入口"	"09:50:07"
54341	"1300_5_500000093"	"30207_2"	1271.427180880462	0.3531742169112394	567267	7	"40507_2"	"西野"	"09:50:06"	567268	8	"30813_1"	"国際基督教大学入口"	"09:50:07"
60825	"1300_6_600000093"	"30207_2"	1505.2912004919053	0.4181364445810848	602298	8	"30813_1"	"国際基督教大学入口"	"09:50:07"	602299	9	"30814_90"	"国際基督教大学"	"09:50:08"
54341	"1300_5_500000093"	"30207_2"	1505.2912004919053	0.4181364445810848	567268	8	"30813_1"	"国際基督教大学入口"	"09:50:07"	567269	9	"30814_90"	"国際基督教大学"	"09:50:08"
60998	"1300_6_600001238"	"30304_2"	999.8101434021703	0.2777250398339362	613172	1	"30501_2"	"三鷹駅"	"09:03:00"	613173	2	"30502_2"	"法専寺前"	"09:03:01"
49046	"1300_4_400001238"	"30304_2"	999.8101434021703	0.2777250398339362	543519	1	"30501_2"	"三鷹駅"	"09:03:00"	543520	2	"30502_2"	"法専寺前"	"09:03:01"
54514	"1300_5_500001238"	"30304_2"	999.8101434021703	0.2777250398339362	578142	1	"30501_2"	"三鷹駅"	"09:03:00"	578143	2	"30502_2"	"法専寺前"	"09:03:01"
43567	"1300_3_300001238"	"30304_2"	999.8101434021703	0.2777250398339362	508489	1	"30501_2"	"三鷹駅"	"09:03:00"	508490	2	"30502_2"	"法専寺前"	"09:03:01"
36966	"1100_2_200000394"	"10301_1"	952.4767021008463	0.26457686169467953	100142	1	"10319_1"	"仙川"	"07:54:00"	100143	2	"10320_1"	"白百合女子大学入口"	"07:54:01"
52936	"1100_5_500000394"	"10301_1"	952.4767021008463	0.26457686169467953	163715	1	"10319_1"	"仙川"	"07:54:00"	163716	2	"10320_1"	"白百合女子大学入口"	"07:54:01"

missing_feed_contact_email_and_url

WARNING

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_feed_info_date

WARNING

missing_feed_info_date

One of feed_start_date or feed_end_date is specified, but not both.

Even though feed_info.start_date and feed_info.end_date are optional, if one field is provided the second one should also be provided.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	fieldName (?) Either `feed_end_date` or `feed_start_date`.
2	"feed_end_date"

missing_recommended_field

WARNING

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_end_date"

missing_timepoint_value

WARNING

100000

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 100000 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	"1100_10_1000000002"	1
3	"1100_10_1000000002"	2
4	"1100_10_1000000002"	3
5	"1100_10_1000000002"	4
6	"1100_10_1000000002"	5
7	"1100_10_1000000002"	6
8	"1100_10_1000000002"	7
9	"1100_10_1000000002"	8
10	"1100_10_1000000002"	9
11	"1100_10_1000000002"	10
12	"1100_10_1000000002"	11
13	"1100_10_1000000002"	12
14	"1100_10_1000000002"	13
15	"1100_10_1000000002"	14
16	"1100_10_1000000002"	15
17	"1100_10_1000000002"	16
18	"1100_10_1000000002"	17
19	"1100_10_1000000002"	18
20	"1100_10_1000000002"	19
21	"1100_10_1000000002"	20
22	"1100_10_1000000002"	21
23	"1100_10_1000000002"	22
24	"1100_10_1000000002"	23
25	"1100_10_1000000002"	24
26	"1100_10_1000000002"	25
27	"1100_10_1000000003"	1
28	"1100_10_1000000003"	2
29	"1100_10_1000000003"	3
30	"1100_10_1000000003"	4
31	"1100_10_1000000003"	5
32	"1100_10_1000000003"	6
33	"1100_10_1000000003"	7
34	"1100_10_1000000003"	8
35	"1100_10_1000000003"	9
36	"1100_10_1000000003"	10
37	"1100_10_1000000003"	11
38	"1100_10_1000000003"	12
39	"1100_10_1000000003"	13
40	"1100_10_1000000003"	14
41	"1100_10_1000000003"	15
42	"1100_10_1000000003"	16
43	"1100_10_1000000003"	17
44	"1100_10_1000000003"	18
45	"1100_10_1000000003"	19
46	"1100_10_1000000003"	20
47	"1100_10_1000000003"	21
48	"1100_10_1000000003"	22
49	"1100_10_1000000003"	23
50	"1100_10_1000000003"	24
51	"1100_10_1000000003"	25

mixed_case_recommended_field

WARNING

667

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 667 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"	"吉祥寺営業所前〜吉祥寺駅（２〜６番線）"	2
"routes.txt"	"route_long_name"	"吉祥寺駅〜吉祥寺営業所"	3
"routes.txt"	"route_long_name"	"吉祥寺営業所前〜吉祥寺駅（７．８番線）"	4
"routes.txt"	"route_long_name"	"吉祥寺駅〜新宿駅西口"	5
"routes.txt"	"route_long_name"	"新宿駅西口〜吉祥寺駅中央口"	6
"routes.txt"	"route_long_name"	"調布駅北口〜（野崎）〜吉祥寺駅"	7
"routes.txt"	"route_long_name"	"吉祥寺駅〜（野崎）〜調布駅北口"	8
"routes.txt"	"route_long_name"	"調布駅北口〜（野崎）〜吉祥寺駅中央口"	9
"routes.txt"	"route_long_name"	"仙川〜吉祥寺駅中央口"	10
"routes.txt"	"route_long_name"	"吉祥寺駅〜仙川"	11
"routes.txt"	"route_long_name"	"新川団地中央〜吉祥寺駅中央口"	12
"routes.txt"	"route_long_name"	"吉祥寺駅〜新川団地中央"	13
"routes.txt"	"route_long_name"	"吉祥寺駅〜大沢"	14
"routes.txt"	"route_long_name"	"大沢〜吉祥寺駅中央口"	15
"routes.txt"	"route_long_name"	"吉祥寺駅〜（新川）〜吉祥寺駅"	16
"routes.txt"	"route_long_name"	"吉祥寺駅〜（新川）〜吉祥寺駅中央口"	17
"routes.txt"	"route_long_name"	"野ヶ谷〜吉祥寺駅"	18
"routes.txt"	"route_long_name"	"吉祥寺駅〜野ヶ谷"	19
"routes.txt"	"route_long_name"	"調布駅北口〜（野ヶ谷）〜吉祥寺駅"	20
"routes.txt"	"route_long_name"	"吉祥寺駅〜（野ヶ谷）〜調布駅北口"	21
"routes.txt"	"route_long_name"	"吉祥寺駅〜深大寺"	22
"routes.txt"	"route_long_name"	"深大寺〜吉祥寺駅"	23
"routes.txt"	"route_long_name"	"野ヶ谷〜吉祥寺駅中央口"	24
"routes.txt"	"route_long_name"	"調布駅北口〜（野ヶ谷）〜吉祥寺駅中央口"	25
"routes.txt"	"route_long_name"	"深大寺〜吉祥寺駅中央口"	26
"routes.txt"	"route_long_name"	"千歳烏山駅北口〜吉祥寺駅"	27
"routes.txt"	"route_long_name"	"吉祥寺駅〜千歳烏山駅北口"	28
"routes.txt"	"route_long_name"	"下本宿〜（新川）〜吉祥寺駅"	29
"routes.txt"	"route_long_name"	"千歳烏山駅北口〜吉祥寺駅中央口"	30
"routes.txt"	"route_long_name"	"牟礼団地・三鷹イースト前〜吉祥寺駅"	31
"routes.txt"	"route_long_name"	"吉祥寺駅〜牟礼団地・三鷹イースト前"	32
"routes.txt"	"route_long_name"	"北野〜（三鷹台団地）〜吉祥寺駅"	33
"routes.txt"	"route_long_name"	"吉祥寺駅〜（三鷹台団地）〜北野"	34
"routes.txt"	"route_long_name"	"牟礼団地・三鷹イースト前〜吉祥寺駅中央口"	35
"routes.txt"	"route_long_name"	"北野〜（三鷹台団地）〜吉祥寺駅中央口"	36
"routes.txt"	"route_long_name"	"杏林大学井の頭キャンパス〜吉祥寺駅"	37
"routes.txt"	"route_long_name"	"吉祥寺駅〜杏林大学井の頭キャンパス"	38
"routes.txt"	"route_long_name"	"杏林大学井の頭キャンパス〜吉祥寺駅中央口"	39
"routes.txt"	"route_long_name"	"杏林大学井の頭キャンパス〜直行〜吉祥寺駅"	40
"routes.txt"	"route_long_name"	"吉祥寺駅〜直行〜杏林大学井の頭キャンパス"	41
"routes.txt"	"route_long_name"	"下連雀五丁目〜吉祥寺駅"	42
"routes.txt"	"route_long_name"	"調布駅北口〜（航研前）〜吉祥寺駅"	43
"routes.txt"	"route_long_name"	"吉祥寺駅〜（航研前）〜調布駅北口"	44
"routes.txt"	"route_long_name"	"吉祥寺駅〜杏林大学病院前"	45
"routes.txt"	"route_long_name"	"杏林大学病院前〜調布駅北口"	46
"routes.txt"	"route_long_name"	"調布駅北口〜杏林大学病院前"	47
"routes.txt"	"route_long_name"	"調布駅北口〜（航研前）〜吉祥寺駅中央口"	48
"routes.txt"	"route_long_name"	"杏林大学病院前〜調布駅北口（土・休）甲州"	49
"routes.txt"	"route_long_name"	"丸池公園入口〜吉祥寺駅"	50
"routes.txt"	"route_long_name"	"丸池公園入口〜吉祥寺駅中央口"	51

stop_without_stop_time

WARNING

151

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 151 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.
1159	"10133_90"	"南浦"
1179	"10140_1"	"武蔵境駅南口"
1231	"10225_1"	"調布駅北口"
1239	"10300_1"	"吉祥寺駅中央口（降車場）"
1241	"10300_91"	"吉祥寺駅中央口（降車場）"
1301	"10514_3"	"下本宿"
1302	"10514_90"	"下本宿"
1331	"10708_90"	"下連雀七丁目"
1336	"10710_90"	"ＭＣＣ三鷹ビル"
1408	"12209_1"	"待機"
1480	"20214_1"	"梅ヶ丘駅南口"
1481	"20214_2"	"梅ヶ丘駅南口"
1482	"20214_90"	"梅ヶ丘駅南口"
1507	"20313_1"	"北沢タウンホール"
1510	"20314_90"	"北沢タウンホール休憩所"
1515	"20604_90"	"粕谷一丁目"
1531	"20616_1"	"船橋交番北"
1532	"20616_2"	"船橋交番北"
1533	"20617_1"	"船橋六丁目"
1534	"20617_2"	"船橋六丁目"
1539	"23315_90"	"経堂駅休憩所"
1540	"23316_1"	"千歳船橋休憩所"
1541	"23316_90"	"千歳船橋休憩所"
1542	"28888_1"	"世田谷営業所"
1543	"28888_2"	"世田谷営業所"
1544	"28888_90"	"世田谷営業所"
1545	"28889_1"	"世田谷営業所２"
1546	"28890_1"	"世田谷代田駅"
1553	"3020_1"	"東京ガス（充填所）"
1554	"30201_1"	"武蔵境駅北口"
1555	"30201_2"	"武蔵境駅北口"
1556	"30201_3"	"武蔵境駅北口"
1578	"30210_90"	"団地上水端"
1581	"30212_1"	"桜堤上水端「ｈｏｃｃｏ」"
1583	"30301_1"	"武蔵境営業所２"
1586	"30306_90"	"くぬぎ橋"
1587	"30500_1"	"三鷹駅２"
1588	"30501_1"	"三鷹駅"
1591	"30501_4"	"三鷹駅"
1614	"30516_90"	"竜源寺"
1634	"30526_90"	"多磨駅"
1635	"30527_1"	"朝日町三丁目降車所"
1636	"30528_90"	"朝日町三丁目乗車所"
1642	"30532_90"	"車返団地折返場"
1681	"31507_90"	"吉野南"
1685	"31601_2"	"調布飛行場"
1707	"31713_2"	"新小金井駅"
1709	"31714_1"	"新小金井車庫"
1710	"31714_90"	"新小金井車庫"
1714	"31914_90"	"杏林大学病院前"

unknown_column

INFO

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
"translations.txt"	"trans_id"	1
"translations.txt"	"lang"	2

GTFS Schedule Validation Report

Summary

Agencies included

Feed Info

Files included

Counts

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.

Specification Compliance report

255095 notices reported (54255 errors, 200834 warnings, 6 infos)

foreign_key_violation

missing_required_column

duplicate_route_name

fast_travel_between_consecutive_stops

missing_feed_contact_email_and_url

missing_feed_info_date

missing_recommended_field

missing_timepoint_value

mixed_case_recommended_field

stop_without_stop_time

unknown_column