arst-cagliari-it — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-06-11T16:08:53Z,
for the dataset file:///shared/arst-cagliari-it_586db0a5.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included


Feed Info


Publisher Name:
ARST SpA - Trasporti Regionali Della Sardegna
Feed Email:
N/A
Feed Language:
Italian

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: 320
  • Shapes: 2650
  • Stops: 3543
  • Trips: 6370

Specification Compliance report

26288 notices reported (20714 errors, 5573 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 20714

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and different coordinates indicate an error.

You can see more about this notice here.

Only the first 50 of 20714 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"1489" 284970 0.0 2 284969 0.0 1 17.013474942916236
"1489" 284971 0.0 3 284970 0.0 2 85.78356475540178
"1489" 284972 0.0 4 284971 0.0 3 41.73259427224244
"1489" 284973 0.0 5 284972 0.0 4 75.11064546654622
"1489" 284974 0.0 6 284973 0.0 5 113.74454409853249
"1489" 284975 0.0 7 284974 0.0 6 13.481220041127214
"1489" 284976 0.0 8 284975 0.0 7 35.55334612562735
"1489" 284977 0.0 9 284976 0.0 8 7.010846899214384
"1489" 284978 0.0 10 284977 0.0 9 7.010846899214384
"1489" 284979 0.0 11 284978 0.0 10 1.8140500325113589
"1489" 284981 0.0 13 284980 0.0 12 64.21378142583274
"1489" 284982 0.0 14 284981 0.0 13 117.19406190838193
"1489" 284983 0.0 15 284982 0.0 14 43.342863748342054
"1489" 284984 0.0 16 284983 0.0 15 41.97089502988453
"1489" 284985 0.0 17 284984 0.0 16 1.3998802977221805
"1489" 284986 0.0 18 284985 0.0 17 10.093963608417784
"1489" 284987 0.0 19 284986 0.0 18 9.865578732419918
"1489" 284988 0.0 20 284987 0.0 19 36.26531844424978
"1489" 284989 0.0 21 284988 0.0 20 42.52073476792911
"1489" 284990 0.0 22 284989 0.0 21 81.11098853642193
"1489" 284991 0.0 23 284990 0.0 22 68.94090963645918
"1489" 284992 0.0 24 284991 0.0 23 16.065446912086333
"1489" 284993 0.0 25 284992 0.0 24 11.931901355235835
"1489" 284994 0.0 26 284993 0.0 25 68.69685646272087
"1489" 284995 0.0 27 284994 0.0 26 38.8244110881246
"1489" 284996 0.0 28 284995 0.0 27 83.29658166349213
"1489" 284997 0.0 29 284996 0.0 28 89.03781860754422
"1489" 284998 0.0 30 284997 0.0 29 29.050945347867575
"1489" 284999 0.0 31 284998 0.0 30 20.957003714612295
"1489" 285000 0.0 32 284999 0.0 31 58.0647886529378
"1489" 285001 0.0 33 285000 0.0 32 39.24036092956451
"1489" 285002 0.0 34 285001 0.0 33 18.833235460559166
"1489" 285003 0.0 35 285002 0.0 34 78.51672669165262
"1489" 285004 0.0 36 285003 0.0 35 10.83216580710229
"1489" 285005 0.0 37 285004 0.0 36 9.64880390656282
"1489" 285006 0.0 38 285005 0.0 37 79.05976226815837
"1489" 285007 0.0 39 285006 0.0 38 19.884497099325745
"1489" 285008 0.0 40 285007 0.0 39 62.34941469199486
"1489" 285009 0.0 41 285008 0.0 40 42.311478057036915
"1489" 285010 0.0 42 285009 0.0 41 58.526069330784814
"1489" 285011 0.0 43 285010 0.0 42 34.31050064550778
"1489" 285013 0.0 45 285012 0.0 44 2.60495189172661
"1489" 285014 0.0 46 285013 0.0 45 32.254574843252
"1489" 285015 0.0 47 285014 0.0 46 24.92208630670903
"1489" 285016 0.0 48 285015 0.0 47 14.761360965925403
"1489" 285017 0.0 49 285016 0.0 48 16.532441431213606
"1489" 285018 0.0 50 285017 0.0 49 26.58911052774843
"1489" 285019 0.0 51 285018 0.0 50 53.01320013277741
"1489" 285020 0.0 52 285019 0.0 51 13.989250314028649
"1489" 285021 0.0 53 285020 0.0 52 76.82234998062692
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 338

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 338 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"1489" 284980 0.0 12 284979 0.0 11 0.41927780380641827
"1489" 285012 0.0 44 285011 0.0 43 0.11119510161714974
"1489" 285233 0.0 265 285232 0.0 264 0.9106054028317804
"1485" 282134 0.0 16 282133 0.0 15 0.14010490357170716
"615" 1248813 0.0 32 1248812 0.0 31 0.27194326671698293
"615" 1248814 0.0 33 1248813 0.0 32 0.27194326671698293
"615" 1248881 0.0 100 1248880 0.0 99 0.42414471198718234
"625" 1254403 0.0 23 1254402 0.0 22 0.2792828364491375
"625" 1254686 0.0 306 1254685 0.0 305 0.2792828364491375
"625" 1254729 0.0 349 1254728 0.0 348 0.2792828364491375
"625" 1254880 0.0 500 1254879 0.0 499 0.18817791802936276
"683" 1293022 0.0 12 1293021 0.0 11 0.281688536930996
"290" 1031115 0.0 51 1031114 0.0 50 0.2381771470633088
"1961" 584952 0.0 32 584951 0.0 31 0.27194326671698293
"1961" 584953 0.0 33 584952 0.0 32 0.27194326671698293
"1961" 585008 0.0 88 585007 0.0 87 0.42414471198718234
"1502" 296797 13.69 211 296796 13.69 210 0.8299069325712634
"1502" 296798 13.69 212 296797 13.69 211 0.8299069325712634
"1502" 296840 13.69 254 296839 13.69 253 0.6846732043808745
"1502" 296877 13.69 291 296876 13.69 290 0.9080753387871152
"1502" 296878 13.69 292 296877 13.69 291 0.9080753387871152
"1502" 296930 13.69 344 296929 13.69 343 0.47479633707977176
"1502" 296952 13.69 366 296951 13.69 365 0.848537773704516
"1502" 296966 13.69 380 296965 13.69 379 0.3557176504973581
"1502" 296967 13.69 381 296966 13.69 380 0.3557176504973581
"1502" 296970 13.69 384 296969 13.69 383 0.9554460204995141
"1502" 296971 13.69 385 296970 13.69 384 0.9554460204995141
"1502" 296973 13.69 387 296972 13.69 386 0.1689465463143035
"1502" 296974 13.69 388 296973 13.69 387 0.1689465463143035
"1507" 299867 0.0 149 299866 0.0 148 0.09870160145085224
"1507" 300015 0.0 297 300014 0.0 296 0.8299069325712634
"1507" 300016 0.0 298 300015 0.0 297 0.8299069325712634
"1507" 300058 0.0 340 300057 0.0 339 0.6846732043808745
"1507" 300095 0.0 377 300094 0.0 376 0.9080753387871152
"1507" 300096 0.0 378 300095 0.0 377 0.9080753387871152
"1507" 300148 0.0 430 300147 0.0 429 0.47479633707977176
"1507" 300170 0.0 452 300169 0.0 451 0.848537773704516
"1507" 300184 0.0 466 300183 0.0 465 0.3557176504973581
"1507" 300185 0.0 467 300184 0.0 466 0.3557176504973581
"1507" 300188 0.0 470 300187 0.0 469 0.9554460204995141
"1507" 300189 0.0 471 300188 0.0 470 0.9554460204995141
"1507" 300191 0.0 473 300190 0.0 472 0.1689465463143035
"1507" 300192 0.0 474 300191 0.0 473 0.1689465463143035
"1988" 602092 0.0 42 602091 0.0 41 0.13925041327365326
"1988" 602142 0.0 92 602141 0.0 91 0.3335853034368008
"1988" 602195 0.0 145 602194 0.0 144 0.3335853034368008
"1988" 602238 0.0 188 602237 0.0 187 0.2376565707656492
"1988" 602245 0.0 195 602244 0.0 194 0.4753094460337765
"1988" 602259 0.0 209 602258 0.0 208 0.13922687338333328
"1988" 602294 0.0 244 602293 0.0 243 0.9478775371350611
equal_shape_distance_same_coordinates WARNING 649

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

Only the first 50 of 649 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"1455" 264464 16512.64 744 264463 16512.64 743
"2309" 792276 51363.34 642 792275 51363.34 641
"2308" 791183 53238.22 794 791182 53238.22 793
"1" 193 19102.87 192 192 19102.87 191
"1" 200 19533.32 199 199 19533.32 198
"2" 610323 48633.58 439 610322 48633.58 438
"4" 1103697 36826.45 469 1103696 36826.45 468
"4" 1103729 41179.6 501 1103728 41179.6 500
"1465" 270644 39493.69 330 270643 39493.69 329
"1465" 270706 50156.78 392 270705 50156.78 391
"2311" 793666 19685.39 109 793665 19685.39 108
"1483" 281716 27652.23 319 281715 27652.23 318
"2330" 807895 47163.04 413 807894 47163.04 412
"2325" 805424 1175.03 17 805423 1175.03 16
"2329" 807159 17499.94 275 807158 17499.94 274
"1493" 288811 23929.98 499 288810 23929.98 498
"1492" 288194 39535.71 348 288193 39535.71 347
"1008" 5039 17401.27 152 5038 17401.27 151
"2337" 814346 77481.66 914 814345 77481.66 913
"2337" 814373 79334.63 941 814372 79334.63 940
"2336" 813345 39535.71 348 813344 39535.71 347
"1496" 290660 20559.04 468 290659 20559.04 467
"1496" 290721 24633.98 529 290720 24633.98 528
"1496" 290736 25169.33 544 290735 25169.33 543
"2360" 830446 68430.46 733 830445 68430.46 732
"2360" 830473 70283.43 760 830472 70283.43 759
"603" 1239642 17007.84 211 1239641 17007.84 210
"604" 1241222 89026.33 1443 1241221 89026.33 1442
"2369" 833698 22372.54 144 833697 22372.54 143
"2369" 833709 23978.35 155 833708 23978.35 154
"2367" 833154 7838.78 36 833153 7838.78 35
"2367" 833162 8851.83 44 833161 8851.83 43
"1035" 13397 64315.66 557 13396 64315.66 556
"1035" 13424 66168.63 584 13423 66168.63 583
"614" 1248039 20821.84 434 1248038 20821.84 433
"1051" 20258 99837.06 665 20257 99837.06 664
"1050" 19544 14708.34 164 19543 14708.34 163
"1049" 18291 23413.42 524 18290 23413.42 523
"1049" 18295 23647.33 528 18294 23647.33 527
"2378" 841184 13338.58 99 841183 13338.58 98
"2377" 840817 30398.27 197 840816 30398.27 196
"2377" 840824 30828.72 204 840823 30828.72 203
"629" 1256368 5524.7 36 1256367 5524.7 35
"1063" 26809 47910.41 506 26808 47910.41 505
"1063" 26836 49763.38 533 26835 49763.38 532
"2393" 852878 39493.69 330 852877 39493.69 329
"2393" 852945 51165.23 397 852944 51165.23 396
"1070" 29762 5780.16 74 29761 5780.16 73
"649" 1268190 63625.08 521 1268189 63625.08 520
"1082" 34175 15548.8 301 34174 15548.8 300
expired_calendar WARNING 4

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.
21 "GIAM"
31 "GISA"
47 "SAFE"
48 "SAFT"
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 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.

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_start_date"
"feed_info.txt" 2 "feed_end_date"
mixed_case_recommended_field WARNING 4527

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 4527 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" "CAGLIARI - VILLASIMIUS - COSTA REI - S.VITO" 2
"routes.txt" "route_long_name" "ESCALAPLANO - BALLAO - MURAVERA - COLOSTRAI" 3
"routes.txt" "route_long_name" "VILLAGRANDE - LANUSEI - TORTOLI - IERZU - TERTENIA - MURAVERA - CAGLIARI" 4
"routes.txt" "route_long_name" "SUELLI - SENORBI' - SILIUS - ARMUNGIA - VILLASALTO - S.VITO - MURAVERA - COLOSTRAI" 5
"routes.txt" "route_long_name" "BURCEI - S.GREGORIO - QUARTU S.ELENA - CAGLIARI" 6
"routes.txt" "route_long_name" "CAGLIARI - QUARTU - MARA - SINNAI - SETTIMO - CAGLIARI" 7
"routes.txt" "route_long_name" "PERDASDEFOGU - BALLAO - ARMUNGIA - SILIUS - S.ANDREA FRIUS - CAGLIARI" 8
"routes.txt" "route_long_name" "USSANA - SESTU - OSPEDALE BROTZU - CAGLIARI" 9
"routes.txt" "route_long_name" "USSANA - SESTU - CAGLIARI" 10
"routes.txt" "route_long_name" "CAGLIARI - S.SPERATE - MONASTIR" 11
"routes.txt" "route_long_name" "CAGLIARI - S.SPERATE - DECIMOMANNU" 12
"routes.txt" "route_long_name" "CAGLIARI - MONASTIR - USSANA" 13
"routes.txt" "route_long_name" "CAGLIARI - NURAMINIS - PIMENTEL - SENORBI' - GUASILA - VILLANOVAFRANCA" 14
"routes.txt" "route_long_name" "SESTU - SETTIMO - SINNAI - POETTO" 15
"routes.txt" "route_long_name" "MONSERRATO POLICLINICO-SESTU SAN GEMILIANO-MONSERRATO POLICLINICO" 16
"routes.txt" "route_long_name" "VILLAMAR - SERRENTI - MONASTIR - CAGLIARI" 17
"routes.txt" "route_long_name" "CAGLIARI - QUARTU - PITZ'E SERRA - MARA - SINNAI - SETTIMO - POLICLINICO UNIV. - CAGLIARI" 18
"routes.txt" "route_long_name" "TUILI - PAULI ARBAREI - SARDARA - SANLURI - CAGLIARI" 19
"routes.txt" "route_long_name" "ALES - SANLURI - CAGLIARI" 20
"routes.txt" "route_long_name" "ALES - MORGONGIORI - GONNOSTRAMATZA - MOGORO - SANLURI - CAGLIARI" 21
"routes.txt" "route_long_name" "VILLASOR - SAN SPERATE - SESTU - CITTA' UNIVERSITARIA - MONSERRATO - CAGLIARI" 22
"routes.txt" "route_long_name" "VALLERMOSA - UTA - CAGLIARI" 23
"routes.txt" "route_long_name" "MONASTIR - USSANA - SESTU - MONSERRATO - PIRRI - SELARGIUS" 24
"routes.txt" "route_long_name" "VILLAMAR - SEGARIU - SANLURI - CAGLIARI" 25
"routes.txt" "route_long_name" "CHIA BAIA - TUARREDDA - MALFATANO - CAMPIONNA - TRAMATZU - TEULADA - VIA LITORANEA" 26
"routes.txt" "route_long_name" "CAGLIARI - RESIDENZA DEL SOLE - CAPOTERRA" 27
"routes.txt" "route_long_name" "CAGLIARI - SENORBI' - SELEGAS - SANLURI - S. GAVINO - GUSPINI" 28
"routes.txt" "route_long_name" "DOMUSDEMARIA - PULA - VILLA S.PIETRO - SARROCH - CAGLIARI IST. SCOLASTICI" 29
"routes.txt" "route_long_name" "CAGLIARI - PULA PARCO SCIENTIFICO E TECNOLOGICO" 30
"routes.txt" "route_long_name" "CAGLIARI - VILLASIMIUS - COSTA REY - S.VITO" 31
"routes.txt" "route_long_name" "PULA - PORTO COLUMBU - CAGLIARI" 32
"routes.txt" "route_long_name" "PULA - VILLA S.PIETRO - SARROCH - CAPOTERRA" 33
"routes.txt" "route_long_name" "CAGLIARI - AEROPORTO ELMAS" 34
"routes.txt" "route_long_name" "MARA-SINNAI-SETTIMO-MONSERRATO" 35
"routes.txt" "route_long_name" "SANLURI - GUSPINI - ARBUS - FLUMINIMAGGIORE" 36
"routes.txt" "route_long_name" "VILLACIDRO - GUSPINI - ARBUS - MONTEVECCHIO - COSTA VERDE" 37
"routes.txt" "route_long_name" "VILLACIDRO - ARBUS - GUSPINI - ARBOREA - ORISTANO" 38
"routes.txt" "route_long_name" "PABILLONIS - ARBUS - GUSPINI - VILLACIDRO - DECIMOMANNU - CAGLIARI" 39
"routes.txt" "route_long_name" "MONTEVECCHIO - S.GAVINO - GUSPINI - CAGLIARI" 40
"routes.txt" "route_long_name" "GUSPINI - ARBUS - VILLACIDRO - SERRAMANNA - VILLASOR - Z.I. MACCHIAREDDU" 41
"routes.txt" "route_long_name" "S. GAVINO - SARDARA - SANLURI - SAMASSI - VILLASOR - Z.I. SARROCH" 42
"routes.txt" "route_long_name" "GUSPINI - PABILLONIS - SARDARA - SANLURI - CAGLIARI" 43
"routes.txt" "route_long_name" "ARBUS - GONNOSFANADIGA - VILLACIDRO - TURRIGHEDDA" 44
"routes.txt" "route_long_name" "GUSPINI - S.GAVINO - SANLURI - SAMASSI - VILLACIDRO - GUSPINI" 45
"routes.txt" "route_long_name" "BAUNEI - ARDALI - TRIEI - S.M.NAVARRESE - TORTOLI' - LANUSEI" 46
"routes.txt" "route_long_name" "NUORO - LANUSEI - BARISARDO - TORTOLI'" 47
"routes.txt" "route_long_name" "ARBATAX - TORTOLI' - BAUNEI - DORGALI - NUORO" 48
"routes.txt" "route_long_name" "C.GIUSTIZIERI - URZULEI - TALANA - TORTOLI' - ARBATAX" 49
"routes.txt" "route_long_name" "LANUSEI - CARDEDU - TERTENIA - PERDASDEFOGU" 50
"routes.txt" "route_long_name" "CIRCOLARE DESTRA" 51
route_long_name_contains_short_name WARNING 1

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.

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`.
"513" 111 "Linea 513" "Linea 513"
route_short_name_too_long WARNING 5

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`.
"BCA2" 313 "BUS METROCA 2-3 FESTIVO"
"TCA" 318 "Linea MONSERRATO-ISILI"
"TMA" 319 "Linea MACOMER-NUORO"
"TSS1" 320 "Linea SASSARI-ALGHERO"
"TSS2" 321 "Linea SASSARI-SORSO"
unused_shape WARNING 46

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.
"1022" 9081
"1025" 9515
"1076" 31408
"1078" 31637
"1148" 73529
"1373" 200129
"1550" 333001
"1569" 347180
"1696" 426179
"1703" 430100
"1724" 439521
"1748" 451812
"1794" 477807
"1802" 483152
"1835" 505426
"1874" 526001
"1917" 550887
"1984" 601386
"1999" 609720
"2029" 629358
"2038" 635552
"2074" 658760
"2092" 670937
"2130" 694182
"2160" 709066
"2244" 753322
"2309" 791635
"2352" 823826
"2387" 849122
"2436" 882138
"2488" 920734
"2610" 1004364
"516" 1181912
"554" 1204646
"670" 1285459
"751" 1327026
"761" 1331872
"765" 1333489
"799" 1346905
"890" 1385879
"907" 1393731
"921" 1400073
"927" 1402032
"928" 1402134
"932" 1403442
"959" 1413377
unknown_column INFO 1

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.
"calendar.txt" "service_description" 11