GTFS Schedule Validation Report

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`.
30	"マルシェバス(7771)"	35	"マルシェバス(7773)"	""	"マルシェバス（大空団地行き）"	3	"4460101001145"

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.

csvRowNumber (?) The row of the faulty record.	serviceId (?) The service id of the faulty record.
2	"平日"
3	"土日祝"

feed_expiration_date7_days

Dataset should be valid for at least the next 7 days.

The dataset expiration date defined in feed_info.txt is in seven days or less. At any time, the published GTFS dataset should be valid for at least the next 7 days.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record.	currentDate (?) Current date (YYYYMMDD format).	feedEndDate (?) Feed end date (YYYYMMDD format).	suggestedExpirationDate (?) Suggested expiration date (YYYYMMDD format).
2	"20260123"	"20231108"	"20260130"

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 147 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 915 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"	"36 新町線"	3
"routes.txt"	"route_long_name"	"45 十勝川温泉線"	4
"routes.txt"	"route_long_name"	"73 自衛隊稲田線"	5
"routes.txt"	"route_long_name"	"79 畜大線"	6
"routes.txt"	"route_long_name"	"70 大空団地線"	7
"routes.txt"	"route_long_name"	"70-1 大空団地線"	8
"routes.txt"	"route_long_name"	"41 音更線"	9
"routes.txt"	"route_long_name"	"41-1 新緑通線"	10
"routes.txt"	"route_long_name"	"1 循環線"	11
"routes.txt"	"route_long_name"	"2 循環線"	12
"routes.txt"	"route_long_name"	"60 広尾線"	13
"routes.txt"	"route_long_name"	"31 芽室線"	14
"routes.txt"	"route_long_name"	"21 南商あかしや線"	15
"routes.txt"	"route_long_name"	"3 南商線"	16
"routes.txt"	"route_long_name"	"3-1 柏葉高／南商線"	17
"routes.txt"	"route_long_name"	"17 帯広陸別線"	18
"routes.txt"	"route_long_name"	"6 東８条線"	19
"routes.txt"	"route_long_name"	"29 環状線みなみ廻り"	20
"routes.txt"	"route_long_name"	"28 環状線きた廻り"	21
"routes.txt"	"route_long_name"	"51 ぬかびら線"	22
"routes.txt"	"route_long_name"	"49 上士幌線"	23
"routes.txt"	"route_long_name"	"72 大空団地線（白樺通経由）"	24
"routes.txt"	"route_long_name"	"10 幕別線"	25
"routes.txt"	"route_long_name"	"7 水光線"	26
"routes.txt"	"route_long_name"	"32 清水帯広線"	27
"routes.txt"	"route_long_name"	"61 大正小学校線"	28
"routes.txt"	"route_long_name"	"45-1 十勝川温泉線"	29
"routes.txt"	"route_long_name"	"マルシェバス（大空団地行き）"	30
"routes.txt"	"route_long_name"	"マルシェバス（帯広駅行き）"	31
"routes.txt"	"route_long_name"	"幕別町コミュニティバス（幕別線）"	32
"routes.txt"	"route_long_name"	"幕別町コミュニティバス（札内線）"	33
"routes.txt"	"route_long_name"	"音更コミュニティバス（しらかば号）"	34
"routes.txt"	"route_long_name"	"マルシェバス（大空団地行き）"	35
"routes.txt"	"route_long_name"	"S2 農高・緑陽高スクール"	36
"routes.txt"	"route_long_name"	"S12 通勤・通学～芽室"	37
"routes.txt"	"route_long_name"	"S5 大谷・南商・三条スクール"	38
"routes.txt"	"route_long_name"	"S7 大谷・南商スクール"	39
"routes.txt"	"route_long_name"	"S8 幕別清陵・江陵高校スクール"	40
"routes.txt"	"route_long_name"	"S10 幕別～高校スクール"	41
"routes.txt"	"route_long_name"	"S11 音更～高校スクール"	42
"routes.txt"	"route_long_name"	"S12 通勤・通学～高校スクール"	43
"routes.txt"	"route_long_name"	"S17 中札内～高校スクール"	45
"routes.txt"	"route_long_name"	"S19 更別～高校スクール"	47
"routes.txt"	"route_long_name"	"初詣 初売りバス"	48
"stops.txt"	"stop_name"	"東横イン・スーパーホテル前"	18
"stops.txt"	"stop_name"	"東横イン・スーパーホテル前"	19
"stops.txt"	"stop_name"	"大通13丁目"	35
"stops.txt"	"stop_name"	"大通13丁目"	36
"stops.txt"	"stop_name"	"大通20丁目"	37
"stops.txt"	"stop_name"	"大通20丁目"	38

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 235029 affected records are displayed below.

filename (?) Name of the faulty file.	csvRowNumber (?) Row number of the faulty record.	columnName (?) Name of the column where the error occurred.	fieldValue (?) Faulty value.
"calendar.txt"	2	"service_id"	"平日"
"calendar.txt"	3	"service_id"	"土日祝"
"calendar_dates.txt"	2	"service_id"	"平日"
"calendar_dates.txt"	3	"service_id"	"土日祝"
"calendar_dates.txt"	4	"service_id"	"航休"
"calendar_dates.txt"	5	"service_id"	"航休"
"calendar_dates.txt"	6	"service_id"	"航休"
"calendar_dates.txt"	7	"service_id"	"航休"
"calendar_dates.txt"	8	"service_id"	"航休"
"calendar_dates.txt"	9	"service_id"	"航休"
"calendar_dates.txt"	10	"service_id"	"航休"
"calendar_dates.txt"	11	"service_id"	"航休"
"calendar_dates.txt"	12	"service_id"	"航休"
"calendar_dates.txt"	13	"service_id"	"航休"
"calendar_dates.txt"	14	"service_id"	"航休"
"calendar_dates.txt"	15	"service_id"	"航休"
"calendar_dates.txt"	16	"service_id"	"航休"
"calendar_dates.txt"	17	"service_id"	"航休"
"calendar_dates.txt"	18	"service_id"	"航休"
"calendar_dates.txt"	19	"service_id"	"航休"
"calendar_dates.txt"	20	"service_id"	"航休"
"calendar_dates.txt"	21	"service_id"	"航休"
"calendar_dates.txt"	22	"service_id"	"航休"
"calendar_dates.txt"	23	"service_id"	"航休"
"calendar_dates.txt"	24	"service_id"	"航休"
"calendar_dates.txt"	25	"service_id"	"航休"
"calendar_dates.txt"	26	"service_id"	"航休"
"calendar_dates.txt"	27	"service_id"	"航休"
"calendar_dates.txt"	28	"service_id"	"航休"
"calendar_dates.txt"	29	"service_id"	"航休"
"calendar_dates.txt"	30	"service_id"	"航休"
"calendar_dates.txt"	31	"service_id"	"航休"
"calendar_dates.txt"	32	"service_id"	"航休"
"calendar_dates.txt"	33	"service_id"	"航休"
"calendar_dates.txt"	34	"service_id"	"航休"
"calendar_dates.txt"	35	"service_id"	"航休"
"calendar_dates.txt"	36	"service_id"	"航休"
"calendar_dates.txt"	37	"service_id"	"航休"
"calendar_dates.txt"	38	"service_id"	"航休"
"calendar_dates.txt"	39	"service_id"	"航休"
"calendar_dates.txt"	40	"service_id"	"航休"
"calendar_dates.txt"	41	"service_id"	"航休"
"calendar_dates.txt"	42	"service_id"	"航休"
"calendar_dates.txt"	43	"service_id"	"航休"
"calendar_dates.txt"	44	"service_id"	"航休"
"calendar_dates.txt"	45	"service_id"	"航休"
"calendar_dates.txt"	46	"service_id"	"航休"
"calendar_dates.txt"	47	"service_id"	"航休"
"calendar_dates.txt"	48	"service_id"	"航休"
"calendar_dates.txt"	49	"service_id"	"航休"

trip_coverage_not_active_for_next7_days

Trips data should be valid for at least the next seven days.

This notice is triggered if the date range where a significant number of trips are running ends in less than 7 days.

You can see more about this notice here.

currentDate (?) Current date (YYYYMMDD format).	serviceWindowStartDate (?) The start date of the majority service window.	serviceWindowEndDate (?) The end date of the majority service window.
"20260123"	"20221109"	"20231108"

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.
23	"12_01"	"帯広駅バスターミナル"
24	"12_02"	"帯広駅バスターミナル"
25	"12_05"	"帯広駅バスターミナル"
26	"12_06"	"帯広駅バスターミナル"
27	"12_07"	"帯広駅バスターミナル"
28	"12_08"	"帯広駅バスターミナル"
29	"12_09"	"帯広駅バスターミナル"
30	"12_10"	"帯広駅バスターミナル"
31	"12_11"	"帯広駅バスターミナル"
32	"12_12"	"帯広駅バスターミナル"
33	"12_13"	"帯広駅バスターミナル"
34	"12_14"	"帯広駅バスターミナル"
183	"90_01"	"イオン帯広店前"
184	"90_02"	"イオン帯広店前"
185	"90_03"	"イオン帯広店前"
194	"95_01"	"四中前"
195	"95_02"	"四中前"
196	"95_03"	"四中前"
197	"95_04"	"四中前"
310	"151_01"	"西12条34丁目"
311	"151_02"	"西12条34丁目"
312	"151_03"	"西12条34丁目"
313	"151_04"	"西12条34丁目"
348	"171_01"	"西23条2丁目"
349	"171_02"	"西23条2丁目"
350	"171_03"	"西23条2丁目"
351	"171_04"	"西23条2丁目"
531	"260_02"	"北高．北斗病院前"
1144	"573_01"	"東4条9丁目"
1145	"573_02"	"東4条9丁目"
1146	"573_03"	"東4条9丁目"
1147	"573_04"	"東4条9丁目"