urbano-valencia — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-23T22:25:07Z,
for the dataset file:///shared/urbano-valencia_96635951.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
EMT Valencia
Feed Email:
atencioalaciutadania@emtvalencia.es
Feed Language:
Catalan
Feed Start Date:
2026-03-04
Feed End Date:
2026-04-10

Files included


  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. feed_info.txt
  5. routes.txt
  6. shapes.txt
  7. stop_times.txt
  8. stops.txt
  9. trips.txt

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 57
  • Shapes: 100
  • Stops: 1157
  • Trips: 28209

Specification Compliance report

11971 notices reported (4967 errors, 7004 warnings, 0 infos)

Notice Code Severity Total
foreign_key_violation ERROR 4967

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 4967 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" "5_1018_613" 846
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 847
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 848
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 849
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 850
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 851
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 852
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 853
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 854
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 855
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 856
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 857
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 858
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 859
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 860
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 861
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 862
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 863
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 864
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 865
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 866
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 867
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 868
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 869
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 870
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 871
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 872
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 873
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 874
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 875
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 876
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 877
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 878
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 879
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 880
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 881
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 882
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 883
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 884
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 885
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 886
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 887
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 888
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 889
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 890
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 891
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 892
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 893
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 894
"trips.txt" "service_id" "calendar.txt or calendar_dates.txt" "service_id" "5_1018_613" 895
duplicate_route_name WARNING 13

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`.
4 "863" 5 "1057" "6" "6 - TORREFIEL - HOSPITAL LA FE" 3 "4"
4 "863" 6 "1071" "6" "6 - TORREFIEL - HOSPITAL LA FE" 3 "4"
11 "866" 12 "1056" "11" "11 - PATRAIX - ELS ORRIOLS" 3 "4"
11 "866" 13 "1072" "11" "11 - PATRAIX - ELS ORRIOLS" 3 "4"
21 "1040" 22 "1068" "24" "24 - PORTA DE LA MAR - EL SALER / EL PALMAR" 3 "4"
31 "1054" 32 "1055" "98" "98 - AV. DEL CID - EST. CABANYAL/PG. MARÍTIM" 3 "4"
41 "727" 42 "1039" "70" "70 - LA FONTSANTA - ALBORAIA" 3 "4"
41 "727" 43 "1058" "70" "70 - LA FONTSANTA - ALBORAIA" 3 "4"
44 "867" 45 "868" "71" "71 - LA LLUM - UNIVERSITATS" 3 "4"
44 "867" 46 "1059" "71" "71 - LA LLUM - UNIVERSITATS" 3 "4"
48 "962" 49 "963" "73" "73 - SANT ISIDRE / TRES CREUS - ESTACIÓ DEL NORD" 3 "4"
50 "996" 51 "651" "C2" "C2 - CIRCULAR GRANS VIES" 3 "4"
53 "993" 54 "185" "C3" "C3 - CIRCULAR RONDA TRÀNSITS" 3 "4"
expired_calendar WARNING 144

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.

Only the first 50 of 144 affected records are displayed below.

csvRowNumber (?) The row of the faulty record. serviceId (?) The service id of the faulty record.
6 "4_1017_619_EXC"
8 "4_1017_618_EXC"
11 "5_1018_611"
16 "5_1018_613_EXC"
18 "5_1018_611_EXC"
20 "6_863_616"
25 "6_863_614_EXC"
31 "6_863_618_EXC"
37 "6_863_616_EXC"
45 "6_863_611_EXC"
49 "6_1057_619_EXC"
52 "6_863_613_EXC"
54 "7_1061_611"
57 "7_1061_614"
60 "7_1061_618_EXC"
61 "7_1061_612_EXC"
63 "7_1061_619_EXC"
64 "7_1061_611_EXC"
66 "7_1061_613_EXC"
71 "8_1066_619_EXC"
74 "8_1066_618_EXC"
80 "9_922_562_EXC"
81 "9_922_504_EXC"
85 "9_922_618_EXC"
88 "9_922_503_EXC"
89 "9_922_619_EXC"
91 "9_922_561_EXC"
93 "10_923_611"
96 "10_923_614"
97 "10_923_613_EXC"
98 "10_923_612_EXC"
100 "10_923_418_EXC"
103 "10_923_419_EXC"
105 "10_923_611_EXC"
107 "11_1072_611"
108 "11_1056_613"
109 "11_1056_614"
117 "11_1072_418_EXC"
121 "11_1056_603_EXC"
127 "11_1072_611_EXC"
130 "11_1056_419_EXC"
142 "12_827_619_EXC"
144 "12_827_618_EXC"
148 "13_1021_618_EXC"
149 "13_1021_419_EXC"
152 "14_983_611"
155 "14_983_614"
156 "14_983_518_EXC"
157 "14_983_613_EXC"
158 "14_983_612_EXC"
feed_expiration_date30_days WARNING 1

feed_expiration_date30_days

Dataset should cover at least the next 30 days of service.

At any time, the GTFS dataset should cover at least the next 30 days of service, and ideally for as long as the operator is confident that the schedule will continue to be operated.

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 "20260323" "20260410" "20260422"
mixed_case_recommended_field WARNING 6303

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 6303 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" "4 - PORT/NATZARET - PL. DE L'AJUNTAMENT" 2
"routes.txt" "route_long_name" "C1 - CENTRE HISTÒRIC" 3
"routes.txt" "route_long_name" "6 - TORREFIEL - HOSPITAL LA FE" 4
"routes.txt" "route_long_name" "6 - TORREFIEL - HOSPITAL LA FE" 5
"routes.txt" "route_long_name" "6 - TORREFIEL - HOSPITAL LA FE" 6
"routes.txt" "route_long_name" "7 - MERCAT CENTRAL - FTA. SANT LLUÍS" 7
"routes.txt" "route_long_name" "8 - PORTA DE LA MAR - MALILLA / TURIANOVA" 8
"routes.txt" "route_long_name" "9 - ESTACIÓ DEL NORD - LA TORRE - SEDAVÍ - F. ALCEDO" 9
"routes.txt" "route_long_name" "10 - BENIMACLET - SANT MARCEL.LI" 10
"routes.txt" "route_long_name" "11 - PATRAIX - ELS ORRIOLS" 11
"routes.txt" "route_long_name" "11 - PATRAIX - ELS ORRIOLS" 12
"routes.txt" "route_long_name" "11 - PATRAIX - ELS ORRIOLS" 13
"routes.txt" "route_long_name" "12 - CIUTAT ART. FALLER - PL. AMÈRICA" 14
"routes.txt" "route_long_name" "13 - LA FONTETA/C.ARTS I CIENCIES - PORTA DE LA MAR" 15
"routes.txt" "route_long_name" "14 - ESTACIÓ DEL NORD - CASTELLAR" 16
"routes.txt" "route_long_name" "16 - VINALESA - POETA QUEROL" 17
"routes.txt" "route_long_name" "18 - HOSPITAL DR. PESET - UNIVERSITATS" 18
"routes.txt" "route_long_name" "19 - ESTACIÓ DEL NORD - LA MARINA /LA MALVA-ROSA" 19
"routes.txt" "route_long_name" "23 - PORTA DE LA MAR - FORN D'ALCEDO" 20
"routes.txt" "route_long_name" "24 - PORTA DE LA MAR - EL SALER / EL PALMAR" 21
"routes.txt" "route_long_name" "24 - PORTA DE LA MAR - EL SALER / EL PALMAR" 22
"routes.txt" "route_long_name" "25 - PORTA DE LA MAR - EL SALER / EL PERELLÓ" 23
"routes.txt" "route_long_name" "26 - MONCADA/ALFARA - POETA QUEROL" 24
"routes.txt" "route_long_name" "27 - LA TORRE - MERCAT CENTRAL" 25
"routes.txt" "route_long_name" "28 - CIUTAT ART. FALLER - ESTACIÓ DEL NORD" 26
"routes.txt" "route_long_name" "30 - NATZARET - HOSPITAL CLÍNIC" 27
"routes.txt" "route_long_name" "31 - LA PATACONA/LA MALVA-ROSA - EST. J. SOROLLA" 28
"routes.txt" "route_long_name" "32 - PASSEIG MARÍTIM - PL. DE L'AJUNTAMENT" 29
"routes.txt" "route_long_name" "35 - ESTACIÓ DEL NORD - C. ARTS I CIÈNCIES/I.CANÀRIES" 30
"routes.txt" "route_long_name" "98 - AV. DEL CID - EST. CABANYAL/PG. MARÍTIM" 31
"routes.txt" "route_long_name" "98 - AV. DEL CID - EST. CABANYAL/PG. MARÍTIM" 32
"routes.txt" "route_long_name" "99 - PALAU DE CONGRESSOS - LA MALVA-ROSA" 33
"routes.txt" "route_long_name" "40 - UNIVERSITATS - ESTACIÓ DEL NORD" 34
"routes.txt" "route_long_name" "59 - ESTACIÓ DEL NORD - LA TORRE / SOCIÓPOLIS" 35
"routes.txt" "route_long_name" "60 - ESTACIÓ DEL NORD - TORREFIEL" 36
"routes.txt" "route_long_name" "62 - BENIMÀMET/FIRA - ESTACIÓ DEL NORD" 37
"routes.txt" "route_long_name" "63 - CAMPUS DE BURJASSOT - ESTACIÓ DEL NORD" 38
"routes.txt" "route_long_name" "64 - BENICALAP - EST. J. SOROLLA / HOSP. LA FE" 39
"routes.txt" "route_long_name" "67 - ESTACIÓ DEL NORD - EL POUET / CAMPANAR" 40
"routes.txt" "route_long_name" "70 - LA FONTSANTA - ALBORAIA" 41
"routes.txt" "route_long_name" "70 - LA FONTSANTA - ALBORAIA" 42
"routes.txt" "route_long_name" "70 - LA FONTSANTA - ALBORAIA" 43
"routes.txt" "route_long_name" "71 - LA LLUM - UNIVERSITATS" 44
"routes.txt" "route_long_name" "71 - LA LLUM - UNIVERSITATS" 45
"routes.txt" "route_long_name" "71 - LA LLUM - UNIVERSITATS" 46
"routes.txt" "route_long_name" "72 - SANT ISIDRE - ESTACIÓ DEL NORD" 47
"routes.txt" "route_long_name" "73 - SANT ISIDRE / TRES CREUS - ESTACIÓ DEL NORD" 48
"routes.txt" "route_long_name" "73 - SANT ISIDRE / TRES CREUS - ESTACIÓ DEL NORD" 49
"routes.txt" "route_long_name" "C2 - CIRCULAR GRANS VIES" 50
"routes.txt" "route_long_name" "C2 - CIRCULAR GRANS VIES" 51
route_long_name_contains_short_name WARNING 57

route_long_name_contains_short_name

Long name should not contain short name for a single route.

In routes.txt, route_long_name should not contain the value for route_short_name, because when both are provided, they are often combined by transit applications. Note that only one of the two fields is required. If there is no short name used for a route, use route_long_name only.

Good examples:

route_short_name/route_long_name Dataset
"N"/"Judah" Muni San Fransisco
"6"/"ML King Jr Blvd" Trimet Portland Streetcar
"55"/"Boulevard Saint Laurent" STM Montreal
"1"/"Rangiora/Cashmere" Metro Christchurch

Bad examples:

route_short_name/route_long_name
"604"/"604"
"14"/"Route 14"
"2"/"Route 2: Bellows Falls In-Town"

You can see more about this notice here.

Only the first 50 of 57 affected records are displayed below.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeShortName (?) The faulty record's `route_short_name`. routeLongName (?) The faulty record's `route_long_name`.
"1017" 2 "4" "4 - PORT/NATZARET - PL. DE L'AJUNTAMENT"
"1018" 3 "C1" "C1 - CENTRE HISTÒRIC"
"863" 4 "6" "6 - TORREFIEL - HOSPITAL LA FE"
"1057" 5 "6" "6 - TORREFIEL - HOSPITAL LA FE"
"1071" 6 "6" "6 - TORREFIEL - HOSPITAL LA FE"
"1061" 7 "7" "7 - MERCAT CENTRAL - FTA. SANT LLUÍS"
"1066" 8 "8" "8 - PORTA DE LA MAR - MALILLA / TURIANOVA"
"922" 9 "9" "9 - ESTACIÓ DEL NORD - LA TORRE - SEDAVÍ - F. ALCEDO"
"923" 10 "10" "10 - BENIMACLET - SANT MARCEL.LI"
"866" 11 "11" "11 - PATRAIX - ELS ORRIOLS"
"1056" 12 "11" "11 - PATRAIX - ELS ORRIOLS"
"1072" 13 "11" "11 - PATRAIX - ELS ORRIOLS"
"827" 14 "12" "12 - CIUTAT ART. FALLER - PL. AMÈRICA"
"1021" 15 "13" "13 - LA FONTETA/C.ARTS I CIENCIES - PORTA DE LA MAR"
"983" 16 "14" "14 - ESTACIÓ DEL NORD - CASTELLAR"
"1022" 17 "16" "16 - VINALESA - POETA QUEROL"
"1045" 18 "18" "18 - HOSPITAL DR. PESET - UNIVERSITATS"
"930" 19 "19" "19 - ESTACIÓ DEL NORD - LA MARINA /LA MALVA-ROSA"
"1033" 20 "23" "23 - PORTA DE LA MAR - FORN D'ALCEDO"
"1040" 21 "24" "24 - PORTA DE LA MAR - EL SALER / EL PALMAR"
"1068" 22 "24" "24 - PORTA DE LA MAR - EL SALER / EL PALMAR"
"1026" 23 "25" "25 - PORTA DE LA MAR - EL SALER / EL PERELLÓ"
"1027" 24 "26" "26 - MONCADA/ALFARA - POETA QUEROL"
"1060" 25 "27" "27 - LA TORRE - MERCAT CENTRAL"
"1034" 26 "28" "28 - CIUTAT ART. FALLER - ESTACIÓ DEL NORD"
"982" 27 "30" "30 - NATZARET - HOSPITAL CLÍNIC"
"1053" 28 "31" "31 - LA PATACONA/LA MALVA-ROSA - EST. J. SOROLLA"
"1029" 29 "32" "32 - PASSEIG MARÍTIM - PL. DE L'AJUNTAMENT"
"935" 30 "35" "35 - ESTACIÓ DEL NORD - C. ARTS I CIÈNCIES/I.CANÀRIES"
"1054" 31 "98" "98 - AV. DEL CID - EST. CABANYAL/PG. MARÍTIM"
"1055" 32 "98" "98 - AV. DEL CID - EST. CABANYAL/PG. MARÍTIM"
"1052" 33 "99" "99 - PALAU DE CONGRESSOS - LA MALVA-ROSA"
"1030" 34 "40" "40 - UNIVERSITATS - ESTACIÓ DEL NORD"
"1070" 35 "59" "59 - ESTACIÓ DEL NORD - LA TORRE / SOCIÓPOLIS"
"966" 36 "60" "60 - ESTACIÓ DEL NORD - TORREFIEL"
"967" 37 "62" "62 - BENIMÀMET/FIRA - ESTACIÓ DEL NORD"
"968" 38 "63" "63 - CAMPUS DE BURJASSOT - ESTACIÓ DEL NORD"
"1042" 39 "64" "64 - BENICALAP - EST. J. SOROLLA / HOSP. LA FE"
"995" 40 "67" "67 - ESTACIÓ DEL NORD - EL POUET / CAMPANAR"
"727" 41 "70" "70 - LA FONTSANTA - ALBORAIA"
"1039" 42 "70" "70 - LA FONTSANTA - ALBORAIA"
"1058" 43 "70" "70 - LA FONTSANTA - ALBORAIA"
"867" 44 "71" "71 - LA LLUM - UNIVERSITATS"
"868" 45 "71" "71 - LA LLUM - UNIVERSITATS"
"1059" 46 "71" "71 - LA LLUM - UNIVERSITATS"
"970" 47 "72" "72 - SANT ISIDRE - ESTACIÓ DEL NORD"
"962" 48 "73" "73 - SANT ISIDRE / TRES CREUS - ESTACIÓ DEL NORD"
"963" 49 "73" "73 - SANT ISIDRE / TRES CREUS - ESTACIÓ DEL NORD"
"996" 50 "C2" "C2 - CIRCULAR GRANS VIES"
"651" 51 "C2" "C2 - CIRCULAR GRANS VIES"
trip_distance_exceeds_shape_distance_below_threshold WARNING 484

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.

You can see more about this notice here.

Only the first 50 of 484 affected records are displayed below.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"7_1061_611_1940_2288_2_001" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_002" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_003" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_004" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_005" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_006" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_007" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_008" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_009" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_010" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_011" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_012" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_013" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_014" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_015" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_016" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_017" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_018" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_019" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_020" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_021" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_022" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_023" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_024" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_025" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_026" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_027" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_028" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_029" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_030" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_031" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_032" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_033" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_034" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_035" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_036" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_037" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_038" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_039" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_040" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_041" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_042" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_043" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_044" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_045" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_046" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_047" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_048" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_049" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
"7_1061_611_1940_2288_2_050" "1061_1940_2288" 19392.0 18892.0 5.890404946058591
unused_shape WARNING 2

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.
"651_166_348" 22621
"651_348_166" 22772