GTFS Schedule Validation Report

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.

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`.
74	"34_13050_1"	90	"34_23090_1"	"新豊線/豊川線/一宮線"	"【新豊線】豊橋駅前６→豊川体育館前→豊川市民病院→豊川駅前→新城富永"	3	"6180301008850"
75	"34_13060_1"	91	"34_23100_1"	"新豊線/豊川線/一宮線"	"【新豊線】新城富永→豊川駅前→豊川市民病院→豊川体育館前→豊橋駅前"	3	"6180301008850"
82	"34_13170_1"	94	"34_23230_1"	"新豊線/豊川線/一宮線"	"【豊川線】豊橋駅前６→豊川体育館前→豊川市民病院→豊川駅前"	3	"6180301008850"

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 5101 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 477 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"	"【伊良湖本線】保美→休暇村→伊良湖岬"	2
"routes.txt"	"route_long_name"	"【伊良湖本線】伊良湖岬→休暇村→保美"	3
"routes.txt"	"route_long_name"	"【伊良湖本線】豊橋駅前１→藤沢町→小浜→田原駅前→江比間→保美"	4
"routes.txt"	"route_long_name"	"【伊良湖本線】保美→江比間→田原駅前→小浜→藤沢町→豊橋駅前"	5
"routes.txt"	"route_long_name"	"【学輸】伊良湖岬→保美→江比間→田原駅前"	6
"routes.txt"	"route_long_name"	"【伊良湖本線】渥美病院→田原駅前→江比間→保美"	7
"routes.txt"	"route_long_name"	"【伊良湖本線】保美→江比間→田原駅前→渥美病院"	8
"routes.txt"	"route_long_name"	"【伊良湖本線】田原駅前→江比間→保美"	9
"routes.txt"	"route_long_name"	"【伊良湖本線】保美→江比間→田原駅前"	10
"routes.txt"	"route_long_name"	"【伊良湖本線】渥美病院→田原駅前→江比間→保美→休暇村→伊良湖岬"	11
"routes.txt"	"route_long_name"	"【伊良湖本線】伊良湖岬→休暇村→保美→江比間→田原駅前→渥美病院"	12
"routes.txt"	"route_long_name"	"【伊良湖本線】渥美病院→田原駅前→江比間→保美→明神前→伊良湖岬"	13
"routes.txt"	"route_long_name"	"【伊良湖本線】伊良湖岬→明神前→保美→江比間→田原駅前→渥美病院"	14
"routes.txt"	"route_long_name"	"【学輸】田原駅前→江比間→渥美支所→保美"	15
"routes.txt"	"route_long_name"	"【学輸】馬草口→野田→田原中学校"	16
"routes.txt"	"route_long_name"	"【学輸】保美→江比間→田原駅前"	17
"routes.txt"	"route_long_name"	"【学輸】保美→渥美支所"	18
"routes.txt"	"route_long_name"	"【伊良湖支線】渥美病院→田原駅前→赤羽根→堀切→保美"	19
"routes.txt"	"route_long_name"	"【伊良湖支線】保美→堀切→赤羽根→田原駅前→渥美病院"	20
"routes.txt"	"route_long_name"	"【豊橋和田辻線】豊橋駅前５→創造大学正門→牛川(旧道)→和田辻東→四ツ谷"	21
"routes.txt"	"route_long_name"	"【豊橋和田辻線】四ツ谷→和田辻東→牛川(旧道)→創造大学正門→豊橋駅前"	22
"routes.txt"	"route_long_name"	"【豊橋和田辻線】豊橋駅前５→創造大学正門→牛川(旧道)→和田辻東→嵩山"	23
"routes.txt"	"route_long_name"	"【豊橋和田辻線】嵩山→和田辻東→牛川(旧道)→創造大学正門→豊橋駅前"	24
"routes.txt"	"route_long_name"	"【豊橋和田辻線】豊橋駅前５→創造大学正門→牛川(旧道)→和田辻東"	25
"routes.txt"	"route_long_name"	"【豊橋和田辻線】和田辻東→牛川(旧道)→創造大学正門→豊橋駅前"	26
"routes.txt"	"route_long_name"	"【豊橋和田辻線】豊橋駅前５→青陵中学校前→牛川(旧道)→和田辻東→四ツ谷"	27
"routes.txt"	"route_long_name"	"【豊橋和田辻線】四ツ谷→和田辻東→牛川(旧道)→青陵中学校前→豊橋駅前"	28
"routes.txt"	"route_long_name"	"【豊橋和田辻線】豊橋駅前５→青陵中学校前→牛川(旧道)→和田辻東→嵩山"	29
"routes.txt"	"route_long_name"	"【豊橋和田辻線】嵩山→和田辻東→牛川(旧道)→青陵中学校前→豊橋駅前"	30
"routes.txt"	"route_long_name"	"【豊橋和田辻線】豊橋駅前５→青陵中学校前→牛川(旧道)→和田辻東"	31
"routes.txt"	"route_long_name"	"【豊橋和田辻線】和田辻東→牛川(旧道)→青陵中学校前→豊橋駅前"	32
"routes.txt"	"route_long_name"	"【学輸】豊橋駅前→創造大学正門（臨時急行）"	33
"routes.txt"	"route_long_name"	"【作手高里線】新城富永→新城保健所→作手高里（新城市Sバス）"	34
"routes.txt"	"route_long_name"	"【作手高里線】作手高里→新城保健所→新城富永（新城市Sバス）"	35
"routes.txt"	"route_long_name"	"【作手高里線】新城富永→東新町→作手高里（新城市Sバス）"	36
"routes.txt"	"route_long_name"	"【作手高里線】作手高里→東新町→新城富永（新城市Sバス）"	37
"routes.txt"	"route_long_name"	"【作手高里線】新城富永→新城警察署→作手高里（新城市Sバス）"	38
"routes.txt"	"route_long_name"	"【作手高里線】作手高里→新城警察署→新城富永（新城市Sバス）"	39
"routes.txt"	"route_long_name"	"【津具線】田口→下津具（おでかけ北設）"	40
"routes.txt"	"route_long_name"	"【津具線】下津具→田口（おでかけ北設）"	41
"routes.txt"	"route_long_name"	"【津具線】田口→役場通過→下津具（おでかけ北設）"	42
"routes.txt"	"route_long_name"	"【津具線】下津具→役場通過→田口（おでかけ北設）"	43
"routes.txt"	"route_long_name"	"【田口新城線】新城市民病院→新城警察署→本長篠駅前→鳳来寺→四谷千枚田口"	44
"routes.txt"	"route_long_name"	"【田口新城線】四谷千枚田口→鳳来寺→本長篠駅前→新城警察署→新城市民病院"	45
"routes.txt"	"route_long_name"	"【田口新城線】新城市民病院→新城警察署→本長篠駅前→鳳来寺→田口"	46
"routes.txt"	"route_long_name"	"【田口新城線】田口→鳳来寺→本長篠駅前→新城警察署→新城市民病院"	47
"routes.txt"	"route_long_name"	"【田口新城線】本長篠駅前→鳳来寺→四谷千枚田口"	48
"routes.txt"	"route_long_name"	"【田口新城線】四谷千枚田口→鳳来寺→本長篠駅前"	49
"routes.txt"	"route_long_name"	"【田口新城線】新城市民病院→新城有教館高校→本長篠駅前→鳳来寺→田口"	50
"routes.txt"	"route_long_name"	"【田口新城線】田口→鳳来寺→本長篠駅前→新城有教館高校→新城市民病院"	51

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record.	csvRowNumber (?) The row number of the faulty record.	routeColor (?) The faulty record's HTML route color.	routeTextColor (?) The faulty record's HTML route text color.
"1_1180_1"	6	"#0000FF"	"#000000"
"1_1380_1"	17	"#0000FF"	"#000000"

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.
398	"4_13650_1"	"1_135000168_20250705"	13441	"499_2"	"玖老勢"	[34.97987452133666,137.5604615898505]	187.46751280878755
398	"4_13650_1"	"1_135000168_20250705"	13497	"499_1"	"玖老勢"	[34.97998055555556,137.5603555555556]	203.25850571722302
382	"4_13630_1"	"1_135000112_20250705"	13636	"499_1"	"玖老勢"	[34.97984367552651,137.560815336243]	229.47862493193608
390	"4_13640_1"	"2_835000005_20250705"	13094	"499_2"	"玖老勢"	[34.979930555555555,137.56040555555555]	187.64048344768267
380	"4_13620_1"	"1_135000182_20250705"	13771	"504_2"	"双瀬"	[35.018802777777786,137.55695]	362.2082960585751
380	"4_13620_1"	"1_135000182_20250705"	13772	"503_2"	"副川"	[35.018802777777786,137.55695]	1062.7926726552787
380	"4_13620_1"	"1_135000182_20250705"	13773	"502_2"	"鳳来大石"	[35.018802777777786,137.55695]	1984.1527308728791
380	"4_13620_1"	"1_135000182_20250705"	13774	"501_2"	"山びこの丘前"	[35.018802777777786,137.55695]	2774.624749868321
380	"4_13620_1"	"1_135000182_20250705"	13775	"500_2"	"郷中橋"	[35.018802777777786,137.55695]	3525.866656283667
380	"4_13620_1"	"1_135000182_20250705"	13776	"499_2"	"玖老勢"	[35.018802777777786,137.55695]	4450.882969217136
380	"4_13620_1"	"1_135000182_20250705"	13777	"498_2"	"大栗平"	[35.018802777777786,137.55695]	4493.717194216554
380	"4_13620_1"	"1_135000182_20250705"	13778	"497_2"	"鳳来寺表参道"	[35.018802777777786,137.55695]	5754.9141247404295
380	"4_13620_1"	"1_135000182_20250705"	13779	"496_2"	"峰"	[35.018802777777786,137.55695]	6374.697443661778
380	"4_13620_1"	"1_135000182_20250705"	13780	"495_2"	"上大草"	[35.018802777777786,137.55695]	7134.119176532551
380	"4_13620_1"	"1_135000182_20250705"	13781	"494_2"	"大草"	[35.018802777777786,137.55695]	7706.595530259029
380	"4_13620_1"	"1_135000182_20250705"	13782	"493_2"	"岡"	[35.018802777777786,137.55695]	8386.491883152787
380	"4_13620_1"	"1_135000182_20250705"	13783	"492_2"	"長篠こども園"	[35.018802777777786,137.55695]	9177.963379539206
380	"4_13620_1"	"1_135000182_20250705"	13784	"491_2"	"本長篠駅前"	[35.018802777777786,137.55695]	9605.125880418305
380	"4_13620_1"	"1_135000182_20250705"	13785	"490_2"	"鳳来中部小学校"	[35.018802777777786,137.55695]	9895.172628284783
380	"4_13620_1"	"1_135000182_20250705"	13786	"489_2"	"武蔵鳳来前"	[35.018802777777786,137.55695]	10102.66910976991
380	"4_13620_1"	"1_135000182_20250705"	13787	"488_2"	"長篠城前"	[35.018802777777786,137.55695]	10467.86979089279
380	"4_13620_1"	"1_135000182_20250705"	13788	"390_2"	"こんたく長篠"	[35.018802777777786,137.55695]	10490.83211459219
380	"4_13620_1"	"1_135000182_20250705"	13789	"486_2"	"大海駅前"	[35.018802777777786,137.55695]	9794.488211881951
380	"4_13620_1"	"1_135000182_20250705"	13790	"389_2"	"緑が丘口"	[35.018802777777786,137.55695]	10441.874906029612
380	"4_13620_1"	"1_135000182_20250705"	13791	"388_2"	"有海企業団地"	[35.018802777777786,137.55695]	10916.463703180107
380	"4_13620_1"	"1_135000182_20250705"	13792	"344_2"	"もっくる新城北"	[35.018802777777786,137.55695]	11217.89209294025
380	"4_13620_1"	"1_135000182_20250705"	13793	"772_2"	"穂の香看護専門学校"	[35.018802777777786,137.55695]	11910.722773150726
380	"4_13620_1"	"1_135000182_20250705"	13794	"343_2"	"川路"	[35.018802777777786,137.55695]	12173.18368650899
380	"4_13620_1"	"1_135000182_20250705"	13795	"342_2"	"大宮口"	[35.018802777777786,137.55695]	12436.531957305888
380	"4_13620_1"	"1_135000182_20250705"	13796	"341_2"	"茶臼山駅南"	[35.018802777777786,137.55695]	12848.541915485259
380	"4_13620_1"	"1_135000182_20250705"	13797	"340_2"	"富沢"	[35.018802777777786,137.55695]	13033.348689067425
380	"4_13620_1"	"1_135000182_20250705"	13798	"730_2"	"宗高東"	[35.018802777777786,137.55695]	13433.933217049373
380	"4_13620_1"	"1_135000182_20250705"	13799	"783_2"	"新城有教館高校"	[35.018802777777786,137.55695]	13939.850610995727
380	"4_13620_1"	"1_135000182_20250705"	13800	"782_2"	"新城中学校"	[35.018802777777786,137.55695]	14080.571008098184
380	"4_13620_1"	"1_135000182_20250705"	13801	"781_2"	"新城文化会館"	[35.018802777777786,137.55695]	14234.383959828303
380	"4_13620_1"	"1_135000182_20250705"	13802	"387_2"	"新城市役所"	[35.018802777777786,137.55695]	14399.65871555015
380	"4_13620_1"	"1_135000182_20250705"	13803	"484_1"	"新城市民病院"	[35.018802777777786,137.55695]	14690.740421525872
380	"4_13620_1"	"1_135000182_20250705"	13804	"335_1"	"新城栄町・新城駅口"	[35.018802777777786,137.55695]	14452.610716964224
380	"4_13620_1"	"1_135000182_20250705"	13805	"336_1"	"中町"	[35.018802777777786,137.55695]	14337.998256974486
380	"4_13620_1"	"1_135000182_20250705"	13806	"786_1"	"新城郵便局"	[35.018802777777786,137.55695]	14008.395257840268
380	"4_13620_1"	"1_135000182_20250705"	13807	"890_1"	"新城警察署"	[35.018802777777786,137.55695]	13624.82207818203
380	"4_13620_1"	"1_135000182_20250705"	13808	"788_1"	"上平井"	[35.018802777777786,137.55695]	13168.896049933473
380	"4_13620_1"	"1_135000182_20250705"	13809	"806_1"	"消防防災センター"	[35.018802777777786,137.55695]	12763.39941081753
380	"4_13620_1"	"1_135000182_20250705"	13810	"891_7"	"旧新城東高校"	[35.018802777777786,137.55695]	12650.379533833464
380	"4_13620_1"	"1_135000182_20250705"	13811	"895_10"	"新城富永"	[35.018802777777786,137.55695]	12155.550979512187
400	"4_13670_1"	"1_135000070_20250705"	14229	"499_2"	"玖老勢"	[34.97982632724847,137.56049726677315]	186.68854845375878
400	"4_13670_1"	"1_135000070_20250705"	14285	"499_1"	"玖老勢"	[34.97994158750704,137.560389618275]	203.01995956960832
399	"4_13660_1"	"1_135000109_20250705"	14316	"499_2"	"玖老勢"	[34.97989722222221,137.56044444444444]	187.88206860291317
399	"4_13660_1"	"1_135000109_20250705"	14372	"499_1"	"玖老勢"	[34.980024853973084,137.56032019795535]	203.93152786061844
378	"4_13610_1"	"1_135000049_20250705"	14144	"499_1"	"玖老勢"	[34.97989307515805,137.56045106500983]	204.3322191714866

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 203 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.
2	"1_0"	"豊橋駅前"
10	"1_9"	"豊橋駅前"
12	"1_11"	"豊橋駅前"
41	"9_0"	"東高校前"
44	"9_3"	"東高校前"
45	"9_4"	"東高校前"
46	"9_10"	"東高校前"
70	"25_0"	"西駅前（豊橋駅西口）"
114	"50_0"	"西高校前"
117	"50_3"	"西高校前"
118	"51_0"	"総合卸団地"
122	"52_11"	"植田車庫前"
123	"65_0"	"大清水駅前"
128	"67_0"	"レイクタウン入口"
132	"67_4"	"レイクタウン入口"
152	"79_10"	"浜道"
181	"98_0"	"西高師"
183	"98_10"	"西高師"
196	"105_0"	"天伯団地"
214	"137_0"	"トピー工業前"
231	"151_11"	"藤沢町"
234	"154_0"	"豊橋ハートセンター"
243	"163_0"	"田口"
250	"166_1"	"たない道の駅したら"
280	"275_1"	"中村"
296	"308_1"	"森岡"
315	"320_1"	"大原"
316	"321_1"	"門原野"
317	"321_3"	"門原野"
318	"322_1"	"富岡"
319	"322_2"	"富岡"
320	"323_1"	"富岡公民館前"
321	"324_1"	"八名局前"
322	"325_1"	"八名小学校前"
323	"325_2"	"八名小学校前"
324	"326_1"	"黒田"
325	"326_2"	"黒田"
326	"327_1"	"清水野"
327	"327_2"	"清水野"
328	"328_1"	"一鍬田原"
329	"329_1"	"一鍬田"
330	"329_2"	"一鍬田"
331	"330_1"	"宮下"
332	"331_1"	"境松"
333	"332_1"	"庭野"
334	"333_1"	"石田"
335	"333_2"	"石田"
336	"335_0"	"新城栄町・新城駅口"
368	"345_0"	"赤岩口"
403	"383_3"	"五号"

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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.	stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`.	stopId1 (?) The id of the first stop that is referred to.	stopName1 (?) The name of the first stop that is referred to.	match1 (?) Latitude and longitude pair of the first matching location.	stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`.	stopId2 (?) The id of the second stop that is referred to.	stopName2 (?) The name of the second stop that is referred to.	match2 (?) Latitude and longitude pair of the second matching location.
1464	"2_4250_1"	"2_231000254_20250906"	35483	"2_2"	"駅前大通・まちなか図書館"	[34.76322281242369,137.38617804922515]	35482	"1_2"	"豊橋駅前"	[34.76344714894149,137.38294485268003]
1482	"2_4260_1"	"1_131000660_20250906"	36318	"82_2"	"技科大前"	[34.70079486810455,137.41278601915383]	36317	"83_2"	"道の駅とよはし"	[34.69585555555555,137.41549166666667]
1962	"2_12170_1"	"2_231000849_20250906"	48249	"926_1"	"大清水駅前ロータリー"	[34.69573230189925,137.35849580583834]	48248	"687_2"	"大清水駅口"	[34.69587955160294,137.36026291643748]

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.
"3_1170_1"	1592
"3_2170_1"	5544
"3_2180_1"	5778
"4_13020_1"	8750
"4_13050_1"	9770
"4_13150_1"	10609
"4_13210_1"	11643
"4_13220_1"	12412
"4_13290_1"	13262
"4_13300_1"	14432
"4_13330_1"	15572
"4_13340_1"	16431
"4_13390_1"	17393
"4_13400_1"	18559
"4_23070_1"	28590
"4_23080_1"	28961
"4_23090_1"	29204
"4_23100_1"	29473
"4_23101_1"	29733
"4_23102_1"	29909
"4_23230_1"	29979
"4_23240_1"	30102
"4_23250_1"	30217
"4_23260_1"	30305
"4_23270_1"	30397
"4_23280_1"	30528
"4_23290_1"	30654
"4_23300_1"	30873
"4_23310_1"	31093
"4_23320_1"	31380
"4_23610_1"	31683
"4_23620_1"	32418
"4_23630_1"	33227
"4_23640_1"	33738
"4_23650_1"	34426
"4_23660_1"	36075
"4_23670_1"	37236
"4_23900_1"	38182
"4_23910_1"	38487
"4_23930_1"	38769
"4_23940_1"	39085
"4_23950_1"	39228
"4_23960_1"	39316
"4_3210_1"	43012
"4_3220_1"	43608
"4_3250_1"	44312
"4_3410_1"	44620
"4_3420_1"	45668
"4_3421_1"	46671
"2_12130_1"	51747

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"