GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-02-03T18:13:55Z,
for the dataset file:///shared/nantocity-nanbus_418dede7.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
南砺市
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-10-24
Feed End Date:
2026-03-31

Files included

  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. fare_attributes.txt
  5. fare_rules.txt
  6. feed_info.txt
  7. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. transfers.txt
  12. translations.txt
  13. trips.txt

Counts

  • Agencies: 1
  • Blocks: 1
  • Routes: 76
  • Shapes: 79
  • Stops: 292
  • Trips: 128

Specification Compliance report

48618 notices reported (44800 errors, 3816 warnings, 2 infos)

Notice Code Severity Total
duplicate_key ERROR 44800

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 44800 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.
"shapes.txt" 2 49100 "shape_id,shape_pt_sequence" "10101,1"
"shapes.txt" 3 49101 "shape_id,shape_pt_sequence" "10101,2"
"shapes.txt" 4 49102 "shape_id,shape_pt_sequence" "10101,3"
"shapes.txt" 5 49103 "shape_id,shape_pt_sequence" "10101,4"
"shapes.txt" 6 49104 "shape_id,shape_pt_sequence" "10101,5"
"shapes.txt" 7 49105 "shape_id,shape_pt_sequence" "10101,6"
"shapes.txt" 8 49106 "shape_id,shape_pt_sequence" "10101,7"
"shapes.txt" 9 49107 "shape_id,shape_pt_sequence" "10101,8"
"shapes.txt" 10 49108 "shape_id,shape_pt_sequence" "10101,9"
"shapes.txt" 11 49109 "shape_id,shape_pt_sequence" "10101,10"
"shapes.txt" 12 49110 "shape_id,shape_pt_sequence" "10101,11"
"shapes.txt" 13 49111 "shape_id,shape_pt_sequence" "10101,12"
"shapes.txt" 14 49112 "shape_id,shape_pt_sequence" "10101,13"
"shapes.txt" 15 49113 "shape_id,shape_pt_sequence" "10101,14"
"shapes.txt" 16 49114 "shape_id,shape_pt_sequence" "10101,15"
"shapes.txt" 17 49115 "shape_id,shape_pt_sequence" "10101,16"
"shapes.txt" 18 49116 "shape_id,shape_pt_sequence" "10101,17"
"shapes.txt" 19 49117 "shape_id,shape_pt_sequence" "10101,18"
"shapes.txt" 20 49118 "shape_id,shape_pt_sequence" "10101,19"
"shapes.txt" 21 49119 "shape_id,shape_pt_sequence" "10101,20"
"shapes.txt" 22 49120 "shape_id,shape_pt_sequence" "10101,21"
"shapes.txt" 23 49121 "shape_id,shape_pt_sequence" "10101,22"
"shapes.txt" 24 49122 "shape_id,shape_pt_sequence" "10101,23"
"shapes.txt" 25 49123 "shape_id,shape_pt_sequence" "10101,24"
"shapes.txt" 26 49124 "shape_id,shape_pt_sequence" "10101,25"
"shapes.txt" 27 49125 "shape_id,shape_pt_sequence" "10101,26"
"shapes.txt" 28 49126 "shape_id,shape_pt_sequence" "10101,27"
"shapes.txt" 29 49127 "shape_id,shape_pt_sequence" "10101,28"
"shapes.txt" 30 49128 "shape_id,shape_pt_sequence" "10101,29"
"shapes.txt" 31 49129 "shape_id,shape_pt_sequence" "10101,30"
"shapes.txt" 32 49130 "shape_id,shape_pt_sequence" "10101,31"
"shapes.txt" 33 49131 "shape_id,shape_pt_sequence" "10101,32"
"shapes.txt" 34 49132 "shape_id,shape_pt_sequence" "10101,33"
"shapes.txt" 35 49133 "shape_id,shape_pt_sequence" "10101,34"
"shapes.txt" 36 49134 "shape_id,shape_pt_sequence" "10101,35"
"shapes.txt" 37 49135 "shape_id,shape_pt_sequence" "10101,36"
"shapes.txt" 38 49136 "shape_id,shape_pt_sequence" "10101,37"
"shapes.txt" 39 49137 "shape_id,shape_pt_sequence" "10101,38"
"shapes.txt" 40 49138 "shape_id,shape_pt_sequence" "10101,39"
"shapes.txt" 41 49139 "shape_id,shape_pt_sequence" "10101,40"
"shapes.txt" 42 49140 "shape_id,shape_pt_sequence" "10101,41"
"shapes.txt" 43 49141 "shape_id,shape_pt_sequence" "10101,42"
"shapes.txt" 44 49142 "shape_id,shape_pt_sequence" "10101,43"
"shapes.txt" 45 49143 "shape_id,shape_pt_sequence" "10101,44"
"shapes.txt" 46 49144 "shape_id,shape_pt_sequence" "10101,45"
"shapes.txt" 47 49145 "shape_id,shape_pt_sequence" "10101,46"
"shapes.txt" 48 49146 "shape_id,shape_pt_sequence" "10101,47"
"shapes.txt" 49 49147 "shape_id,shape_pt_sequence" "10101,48"
"shapes.txt" 50 49148 "shape_id,shape_pt_sequence" "10101,49"
"shapes.txt" 51 49149 "shape_id,shape_pt_sequence" "10101,50"
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 1

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.
"fare_attributes.txt" 2 "agency_id"
mixed_case_recommended_field WARNING 95

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 95 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_short_name" "安居循環線(右回り)" 3
"routes.txt" "route_short_name" "安居循環線(左回り)" 4
"routes.txt" "route_short_name" "福野・井波・井口循環線（右回り）" 5
"routes.txt" "route_long_name" "福野・井波・井口循環線" 5
"routes.txt" "route_short_name" "福野・井波・井口循環線（右回り・ゆ～ゆうランド経由）" 6
"routes.txt" "route_long_name" "福野・井波・井口循環線" 6
"routes.txt" "route_short_name" "福野・井波・井口循環線（右回り・井口市民センター発）" 7
"routes.txt" "route_long_name" "福野・井波・井口循環線" 7
"routes.txt" "route_short_name" "福野・井波・井口循環線（右回り・高瀬神社前経由）" 8
"routes.txt" "route_long_name" "福野・井波・井口循環線" 8
"routes.txt" "route_short_name" "福野・井波・井口循環線（左回り）" 9
"routes.txt" "route_long_name" "福野・井波・井口循環線" 9
"routes.txt" "route_short_name" "福野・井波・井口循環線（左回り・ゆ～ゆうランド経由）" 10
"routes.txt" "route_long_name" "福野・井波・井口循環線" 10
"routes.txt" "route_short_name" "福野・井波・井口循環線（左回り・高瀬神社前経由）" 11
"routes.txt" "route_long_name" "福野・井波・井口循環線" 11
"routes.txt" "route_short_name" "福野・井波・井口循環線（左回り・福野小学校発）" 12
"routes.txt" "route_long_name" "福野・井波・井口循環線" 12
"routes.txt" "route_short_name" "立美循環線（右回り1便）" 13
"routes.txt" "route_short_name" "立美循環線（右回り2便）" 14
"routes.txt" "route_short_name" "立美循環線（左回り）" 15
"routes.txt" "route_short_name" "福光・福野循環線（右回り）" 16
"routes.txt" "route_long_name" "福光・福野循環線" 16
"routes.txt" "route_short_name" "福光・福野循環線（左回り）" 17
"routes.txt" "route_long_name" "福光・福野循環線" 17
"routes.txt" "route_short_name" "福光・福野循環線（病院往復）" 18
"routes.txt" "route_long_name" "福光・福野循環線" 18
"routes.txt" "route_short_name" "土山線（JR福光駅方面1便）" 19
"routes.txt" "route_short_name" "土山線（JR福光駅方面2便）" 20
"routes.txt" "route_short_name" "土山線（JR福光駅方面3便）" 21
"routes.txt" "route_short_name" "土山線（JR福光駅方面4･5便）" 22
"routes.txt" "route_short_name" "土山線（小又西口方面1便）" 23
"routes.txt" "route_short_name" "土山線（小又西口方面2便）" 24
"routes.txt" "route_short_name" "土山線（小又西口方面3便）" 25
"routes.txt" "route_short_name" "土山線（小又西口方面4便）" 26
"routes.txt" "route_short_name" "土山線（小又西口方面5便）" 27
"routes.txt" "route_short_name" "城端井波線（井波方面）" 28
"routes.txt" "route_short_name" "城端井波線（城端方面）" 29
"routes.txt" "route_short_name" "成出城端線（城端方面・成出発）" 30
"routes.txt" "route_short_name" "成出城端線（城端方面・成出発菅沼経由）" 31
"routes.txt" "route_short_name" "成出城端線（城端方面・平高校発）" 32
"routes.txt" "route_short_name" "成出城端線（平方面・下梨行）" 33
"routes.txt" "route_short_name" "成出城端線（平方面・成出行）" 34
"routes.txt" "route_short_name" "成出城端線（平方面・平高校行）" 35
"routes.txt" "route_short_name" "下梨井波線(井波方面)" 36
"routes.txt" "route_short_name" "下梨井波線(下梨方面1便)" 37
"routes.txt" "route_short_name" "下梨井波線(下梨方面2便)" 38
"routes.txt" "route_short_name" "城端さくら線（城端方面のみ）" 39
"routes.txt" "route_short_name" "城端さくら線（城端方面のみクアガーデン止まり）" 40
"routes.txt" "route_short_name" "城端さくら線（南砺中央病院経由）" 41
non_ascii_or_non_printable_char WARNING 3526

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 3526 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" "全日"
"calendar.txt" 4 "service_id" "火～金"
"calendar.txt" 5 "service_id" "火金"
"calendar.txt" 6 "service_id" "月木"
"calendar_dates.txt" 2 "service_id" "火～金"
"calendar_dates.txt" 3 "service_id" "火～金"
"calendar_dates.txt" 4 "service_id" "火～金"
"calendar_dates.txt" 5 "service_id" "火～金"
"calendar_dates.txt" 6 "service_id" "火～金"
"calendar_dates.txt" 7 "service_id" "火～金"
"calendar_dates.txt" 8 "service_id" "火～金"
"calendar_dates.txt" 9 "service_id" "火～金"
"calendar_dates.txt" 10 "service_id" "火金"
"calendar_dates.txt" 11 "service_id" "火金"
"calendar_dates.txt" 12 "service_id" "火金"
"calendar_dates.txt" 13 "service_id" "火金"
"calendar_dates.txt" 14 "service_id" "火金"
"calendar_dates.txt" 15 "service_id" "火金"
"calendar_dates.txt" 16 "service_id" "火金"
"calendar_dates.txt" 17 "service_id" "月木"
"calendar_dates.txt" 18 "service_id" "月木"
"calendar_dates.txt" 19 "service_id" "月木"
"calendar_dates.txt" 20 "service_id" "月木"
"calendar_dates.txt" 21 "service_id" "月木"
"calendar_dates.txt" 22 "service_id" "月木"
"calendar_dates.txt" 23 "service_id" "月木"
"calendar_dates.txt" 24 "service_id" "月木"
"calendar_dates.txt" 25 "service_id" "月木"
"calendar_dates.txt" 26 "service_id" "月木"
"calendar_dates.txt" 27 "service_id" "全日"
"calendar_dates.txt" 28 "service_id" "全日"
"calendar_dates.txt" 29 "service_id" "全日"
"calendar_dates.txt" 30 "service_id" "平日"
"calendar_dates.txt" 31 "service_id" "平日"
"calendar_dates.txt" 32 "service_id" "平日"
"calendar_dates.txt" 33 "service_id" "平日"
"calendar_dates.txt" 34 "service_id" "平日"
"calendar_dates.txt" 35 "service_id" "平日"
"calendar_dates.txt" 36 "service_id" "平日"
"calendar_dates.txt" 37 "service_id" "平日"
"calendar_dates.txt" 38 "service_id" "平日"
"calendar_dates.txt" 39 "service_id" "平日"
"calendar_dates.txt" 40 "service_id" "平日"
"calendar_dates.txt" 41 "service_id" "平日"
"stop_times.txt" 2 "trip_id" "1平日_06時00分_系統16101"
"stop_times.txt" 3 "trip_id" "1平日_06時00分_系統16101"
"stop_times.txt" 4 "trip_id" "1平日_06時00分_系統16101"
"stop_times.txt" 5 "trip_id" "1平日_06時00分_系統16101"
"stop_times.txt" 6 "trip_id" "1平日_06時00分_系統16101"
route_short_name_too_long WARNING 45

route_short_name_too_long

Short name of a route is too long (more than 12 characters).

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`.
"11" 5 "福野・井波・井口循環線（右回り）"
"11B" 6 "福野・井波・井口循環線（右回り・ゆ～ゆうランド経由）"
"11C" 7 "福野・井波・井口循環線（右回り・井口市民センター発）"
"11D" 8 "福野・井波・井口循環線（右回り・高瀬神社前経由）"
"11E" 9 "福野・井波・井口循環線（左回り）"
"11F" 10 "福野・井波・井口循環線（左回り・ゆ～ゆうランド経由）"
"11G" 11 "福野・井波・井口循環線（左回り・高瀬神社前経由）"
"11H" 12 "福野・井波・井口循環線（左回り・福野小学校発）"
"13" 16 "福光・福野循環線（右回り）"
"13B" 17 "福光・福野循環線（左回り）"
"13C" 18 "福光・福野循環線（病院往復）"
"14" 19 "土山線（JR福光駅方面1便）"
"14B" 20 "土山線（JR福光駅方面2便）"
"14C" 21 "土山線（JR福光駅方面3便）"
"14D" 22 "土山線（JR福光駅方面4･5便）"
"14E" 23 "土山線（小又西口方面1便）"
"14F" 24 "土山線（小又西口方面2便）"
"14G" 25 "土山線（小又西口方面3便）"
"14H" 26 "土山線（小又西口方面4便）"
"14I" 27 "土山線（小又西口方面5便）"
"16" 30 "成出城端線（城端方面・成出発）"
"16B" 31 "成出城端線（城端方面・成出発菅沼経由）"
"16C" 32 "成出城端線（城端方面・平高校発）"
"16D" 33 "成出城端線（平方面・下梨行）"
"16E" 34 "成出城端線（平方面・成出行）"
"16F" 35 "成出城端線（平方面・平高校行）"
"17B" 37 "下梨井波線(下梨方面1便)"
"17C" 38 "下梨井波線(下梨方面2便)"
"19" 39 "城端さくら線（城端方面のみ）"
"19B" 40 "城端さくら線（城端方面のみクアガーデン止まり）"
"19C" 41 "城端さくら線（南砺中央病院経由）"
"19D" 42 "城端さくら線（福光駅経由）"
"24" 50 "立野脇線（福野・高儀方面1-4便）"
"24B" 51 "立野脇線（福野・高儀方面5便）"
"24C" 52 "立野脇線（立野脇方面1便）"
"24D" 53 "立野脇線（立野脇方面2-5便）"
"3" 54 "南砺中央病院線(城端方面)"
"3B" 55 "南砺中央病院線(福光方面)"
"7" 66 "利賀井波線（阿別当方面1便）"
"7B" 67 "利賀井波線（阿別当方面2便）"
"7C" 68 "利賀井波線（阿別当方面3便）"
"7D" 69 "利賀井波線（井波方面1便）"
"7E" 70 "利賀井波線（井波方面2便）"
"7F" 71 "利賀井波線（井波方面3便）"
"9" 74 "井波福光線（1･5･6･7便）"
stop_has_too_many_matches_for_shape WARNING 140

stop_has_too_many_matches_for_shape

Stop entry that has many potential matches to the trip's path of travel, as defined by the shape entry in shapes.txt.

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.

Only the first 50 of 140 affected records are displayed below.

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. matchCount (?) The number of matches for the stop that is referred to.
67 "13201" "1平日_08時10分_系統13201" 452 "1306_01" "楽蔵前" [36.564316374979136,136.87011084188654] 21
67 "13201" "1平日_08時10分_系統13201" 453 "902_01" "福光西町" [36.560984,136.869431] 25
67 "13201" "1平日_08時10分_系統13201" 454 "903_01" "中央図書館前" [36.56014249941349,136.87196283238478] 28
67 "13201" "1平日_08時10分_系統13201" 455 "320_01" "福光東町" [36.55927047084868,136.8736235741992] 30
73 "14101" "1平日_06時57分_系統14101" 45 "1415_01" "砂子口" [36.58994836278908,136.8104055174354] 72
73 "14101" "1平日_06時57分_系統14101" 46 "1414_01" "上砂子谷" [36.59183231430375,136.8106009763087] 33
73 "14101" "1平日_06時57分_系統14101" 47 "1417_01" "高窪" [36.59456878706326,136.79888768719283] 33
73 "14101" "1平日_06時57分_系統14101" 48 "924_01" "土山" [36.576629,136.808077] 33
73 "14101" "1平日_06時57分_系統14101" 49 "1422_01" "小又西口" [36.56775371705157,136.80973694057812] 29
121 "24102" "1平日_08時53分_系統24102" 659 "2326_01" "中吉見" [36.495287682393325,136.83850092472574] 28
121 "24102" "1平日_08時53分_系統24102" 661 "2328_01" "福光温泉" [36.49442411400386,136.83362646986052] 24
76 "14104" "1平日_15時54分_系統14104" 2025 "1306_01" "楽蔵前" [36.56428763232229,136.87012504509033] 23
76 "14104" "1平日_15時54分_系統14104" 2028 "1408_01" "福光西口" [36.561857870861814,136.8667442883243] 28
76 "14104" "1平日_15時54分_系統14104" 2029 "1409_01" "中の江" [36.56537003263054,136.86335563492398] 22
76 "14104" "1平日_15時54分_系統14104" 2030 "1410_01" "華山温泉前" [36.571248362269685,136.85868280577347] 22
76 "14104" "1平日_15時54分_系統14104" 2031 "1411_01" "川合田温泉" [36.57600887364577,136.85055026900847] 21
76 "14104" "1平日_15時54分_系統14104" 2033 "1413_01" "湯谷" [36.585605956760354,136.8208019815676] 28
76 "14104" "1平日_15時54分_系統14104" 2034 "1415_01" "砂子口" [36.5899740301822,136.81048593370693] 23
76 "14104" "1平日_15時54分_系統14104" 2035 "1416_01" "砂子谷" [36.59284169027589,136.80763952537242] 33
76 "14104" "1平日_15時54分_系統14104" 2036 "1417_01" "高窪" [36.59454597622593,136.7988622608848] 21
76 "14104" "1平日_15時54分_系統14104" 2037 "1418_01" "鳥越" [36.59839188020583,136.8052381998787] 42
76 "14104" "1平日_15時54分_系統14104" 2038 "1419_01" "人母" [36.612168,136.807565] 25
76 "14104" "1平日_15時54分_系統14104" 2039 "1420_01" "旧福光西部小学校前" [36.59244802424067,136.80813987863255] 35
77 "14105" "1平日_18時20分_系統14105" 2605 "1306_01" "楽蔵前" [36.56430262156733,136.8701307906681] 25
77 "14105" "1平日_18時20分_系統14105" 2608 "1408_01" "福光西口" [36.561868531236634,136.866732640332] 37
77 "14105" "1平日_18時20分_系統14105" 2609 "1409_01" "中の江" [36.56537159533096,136.86335784579202] 26
77 "14105" "1平日_18時20分_系統14105" 2610 "1410_01" "華山温泉前" [36.571249533657806,136.85868485470874] 26
77 "14105" "1平日_18時20分_系統14105" 2611 "1411_01" "川合田温泉" [36.576013715210706,136.85055152700374] 24
77 "14105" "1平日_18時20分_系統14105" 2612 "1412_02" "蔵原口" [36.59040800320244,136.8287454161771] 21
77 "14105" "1平日_18時20分_系統14105" 2613 "1413_01" "湯谷" [36.585612739785205,136.82079899705988] 36
77 "14105" "1平日_18時20分_系統14105" 2614 "1415_01" "砂子口" [36.58997583047571,136.81048493999575] 25
77 "14105" "1平日_18時20分_系統14105" 2615 "1416_01" "砂子谷" [36.59284064461053,136.8076376492806] 34
77 "14105" "1平日_18時20分_系統14105" 2616 "1417_01" "高窪" [36.594546969737856,136.7988627466939] 21
77 "14105" "1平日_18時20分_系統14105" 2617 "1418_01" "鳥越" [36.59839401224338,136.80523664558987] 42
77 "14105" "1平日_18時20分_系統14105" 2618 "1419_01" "人母" [36.612172300000005,136.807557] 25
77 "14105" "1平日_18時20分_系統14105" 2619 "1420_01" "旧福光西部小学校前" [36.59244531244073,136.80812984243894] 37
39 "10101" "1平日_08時50分_系統10101" 606 "1003_01" "産業文化会館前" [36.594749,136.922811] 25
39 "10101" "1平日_08時50分_系統10101" 607 "1004_01" "南砺家庭・地域医療センター" [36.596026,136.928357] 23
39 "10101" "1平日_08時50分_系統10101" 628 "1004_01" "南砺家庭・地域医療センター" [36.596026,136.928357] 23
39 "10101" "1平日_08時50分_系統10101" 629 "1003_01" "産業文化会館前" [36.594749,136.922811] 25
74 "14102" "1平日_09時58分_系統14102" 880 "1306_01" "楽蔵前" [36.564298029667206,136.8701347717553] 25
74 "14102" "1平日_09時58分_系統14102" 882 "1409_01" "中の江" [36.56537207550827,136.86335852516655] 26
74 "14102" "1平日_09時58分_系統14102" 883 "1410_01" "華山温泉前" [36.5712498054269,136.85868533945592] 26
74 "14102" "1平日_09時58分_系統14102" 884 "1411_01" "川合田温泉" [36.576014739608524,136.8505530125346] 25
74 "14102" "1平日_09時58分_系統14102" 885 "1412_02" "蔵原口" [36.59029520256212,136.82858247107077] 26
74 "14102" "1平日_09時58分_系統14102" 886 "1415_01" "砂子口" [36.58994158529188,136.81039488129682] 127
74 "14102" "1平日_09時58分_系統14102" 887 "1414_01" "上砂子谷" [36.59182655764162,136.8105967844173] 38
74 "14102" "1平日_09時58分_系統14102" 888 "1417_01" "高窪" [36.59455366943129,136.7988807940427] 36
74 "14102" "1平日_09時58分_系統14102" 889 "924_01" "土山" [36.576634438571936,136.80806485343584] 55
74 "14102" "1平日_09時58分_系統14102" 890 "1422_01" "小又西口" [36.56773467042087,136.80972654580805] 60
stop_too_far_from_shape WARNING 1

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.
66 "13102" "1平日_11時20分_系統13102" 1061 "125_01" "北陸病院" [36.5414489,136.9034241] 302.9481740457075
unused_shape WARNING 7

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.
"4104" 44785
"4105" 45367
"4203" 45949
"4205" 46531
"SHP0021" 47113
"SHP0036" 47647
"SHP0038" 48380
unknown_column INFO 2

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.
"trips.txt" "jp_trip_desc" 9
"trips.txt" "jp_pattern_id" 10