thebus-org-thebus-1 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-08T05:52:06Z,
for the dataset file:///shared/thebus-org-thebus-1_4d0d1bfd.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
TheBus
Publisher URL:
http://www.thebus.org
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2026-08-09
Feed End Date:
2026-12-05

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: 2
  • Blocks: 2561
  • Routes: 118
  • Shapes: 560
  • Stops: 3843
  • Trips: 37779

Specification Compliance report

209406 notices reported (1221 errors, 132494 warnings, 75691 infos)

Notice Code Severity Total
decreasing_or_equal_stop_time_distance ERROR 1221

decreasing_or_equal_stop_time_distance

Decreasing or equal shape_dist_traveled in stop_times.txt.

When sorted by stop_times.stop_sequence, two consecutive entries in stop_times.txt should have increasing distance, based on the field shape_dist_traveled. If the values are equal, this is considered as an error.

You can see more about this notice here.

Only the first 50 of 1221 affected records are displayed below.

tripId (?) The id of the faulty trip. stopId (?) The id of the faulty stop. csvRowNumber (?) The row number from `stop_times.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. stopSequence (?) The faulty record's `stop_times.stop_sequence`. prevCsvRowNumber (?) The row number from `stop_times.txt` of the previous stop time. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous stop time. prevStopSequence (?) The previous record's `stop_times.stop_sequence`.
"5353740" "4416" 192442 122561.9 74 199946 122561.9 73
"5353745" "4416" 178356 123679.1 76 182132 123679.1 75
"5353748" "4417" 320223 85011.6 53 309479 85011.6 52
"5353744" "4416" 178210 55479.3 76 181986 55479.3 75
"5353739" "4416" 178355 123679.1 76 182131 123679.1 75
"5353736" "4416" 178354 123679.1 76 182130 123679.1 75
"5353737" "4417" 320222 85011.6 53 309478 85011.6 52
"5353731" "4417" 256290 95290.4 60 261650 95290.4 59
"5353732" "4416" 192441 122561.9 74 199945 122561.9 73
"5353733" "4416" 178209 55479.3 76 181985 55479.3 75
"5353729" "4416" 199944 116795.4 73 195640 116795.4 72
"5353760" "4416" 199947 116795.4 73 195646 116795.4 72
"5353761" "4416" 178358 123679.1 76 182134 123679.1 75
"5353768" "4416" 178211 55479.3 76 181987 55479.3 75
"5353769" "4416" 178359 123679.1 76 182135 123679.1 75
"5353764" "4417" 256297 95290.4 60 261657 95290.4 59
"5353765" "4417" 320226 85011.6 53 309482 85011.6 52
"5353756" "4417" 320225 85011.6 53 309481 85011.6 52
"5353752" "4417" 239337 90301.8 61 256293 90301.8 60
"5353755" "4416" 178357 123679.1 76 182133 123679.1 75
"5353749" "4417" 320224 85011.6 53 309480 85011.6 52
"5353704" "4417" 320217 85011.6 53 309473 85011.6 52
"5353723" "4417" 256289 95290.4 60 261649 95290.4 59
"5353724" "4417" 320221 85011.6 53 309477 85011.6 52
"5353725" "4416" 178253 129388.3 76 182029 129388.3 75
"5353720" "4416" 178252 129388.3 76 182028 129388.3 75
"5353721" "4417" 320220 85011.6 53 309476 85011.6 52
"5353717" "4417" 320219 85011.6 53 309475 85011.6 52
"5353712" "4416" 178352 123679.1 76 182128 123679.1 75
"5353715" "4416" 178353 123679.1 76 182129 123679.1 75
"5353706" "4417" 320218 85011.6 53 309474 85011.6 52
"5353781" "4417" 320229 85011.6 53 309485 85011.6 52
"5353784" "4416" 178362 123679.1 76 182138 123679.1 75
"5353785" "4416" 178363 123679.1 76 182139 123679.1 75
"5353787" "4416" 178364 123679.1 76 182140 123679.1 75
"5353772" "4417" 320227 85011.6 53 309483 85011.6 52
"5353773" "4417" 320228 85011.6 53 309484 85011.6 52
"5353779" "4416" 178361 123679.1 76 182137 123679.1 75
"5353777" "4416" 178360 123679.1 76 182136 123679.1 75
"5353792" "4417" 320230 85011.6 53 309486 85011.6 52
"5353793" "4416" 178212 55479.3 76 181988 55479.3 75
"5353795" "4417" 320231 85011.6 53 309487 85011.6 52
"5353626" "4416" 192433 122561.9 74 199941 122561.9 73
"5353623" "4417" 256285 95290.4 60 261645 95290.4 59
"5353615" "4417" 320213 85011.6 53 309469 85011.6 52
"5353607" "4416" 178348 123679.1 76 182124 123679.1 75
"5353647" "4417" 320214 85011.6 53 309470 85011.6 52
"5353642" "4416" 178350 123679.1 76 182126 123679.1 75
"5353639" "4416" 178206 55479.3 76 181982 55479.3 75
"5353631" "4416" 178349 123679.1 76 182125 123679.1 75
expired_calendar WARNING 24

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.
5 "27695"
7 "27697"
9 "27699"
11 "27701"
12 "27704"
13 "27707"
14 "27708"
16 "27714"
18 "27716"
19 "27717"
22 "27720"
23 "27723"
24 "27726"
25 "27727"
26 "27732"
27 "27735"
28 "27736"
29 "27737"
30 "27738"
33 "27745"
34 "27746"
35 "27747"
36 "27748"
41 "27753"
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_timepoint_value WARNING 100000

missing_timepoint_value

stop_times.timepoint value is missing for a record.

When at least one of stop_times.arrival_time or stop_times.departure_time are provided, stop_times.timepoint should be defined

You can see more about this notice here.

Only the first 50 of 100000 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. tripId (?) The faulty record's `stop_times.trip_id`. stopSequence (?) The faulty record's `stop_times.stop_sequence`.
2 "5333872" 1
3 "5333877" 1
4 "5333880" 1
5 "5333885" 1
6 "5333888" 1
7 "5333893" 1
8 "5333896" 1
9 "5333899" 1
10 "5333901" 1
11 "5333904" 1
12 "5333907" 1
13 "5333909" 1
14 "5333912" 1
15 "5333914" 1
16 "5333916" 1
17 "5333917" 1
18 "5333918" 1
19 "5333920" 1
20 "5333922" 1
21 "5333923" 1
22 "5333924" 1
23 "5333925" 1
24 "5333926" 1
25 "5333928" 1
26 "5333930" 1
27 "5333931" 1
28 "5333932" 1
29 "5333934" 1
30 "5333936" 1
31 "5333937" 1
32 "5333938" 1
33 "5333939" 1
34 "5333940" 1
35 "5333942" 1
36 "5333944" 1
37 "5333945" 1
38 "5333946" 1
39 "5333947" 1
40 "5333950" 1
41 "5333951" 1
42 "5333952" 1
43 "5333953" 1
44 "5333954" 1
45 "5333955" 1
46 "5333957" 1
47 "5333958" 1
48 "5333959" 1
49 "5333960" 1
50 "5333961" 1
51 "5333962" 1
mixed_case_recommended_field WARNING 32394

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 32394 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.
"stops.txt" "stop_name" "LAGOON DR + IOLANA PL" 2
"stops.txt" "stop_name" "LAGOON DR + KAPALULU PL" 3
"stops.txt" "stop_name" "LAGOON DR + MOKUEA PL" 4
"stops.txt" "stop_name" "LAGOON DR + KEEHI PL" 5
"stops.txt" "stop_name" "LAGOON DR + IAKO PL" 6
"stops.txt" "stop_name" "PALEKONA ST + LAGOON DR" 7
"stops.txt" "stop_name" "PAKI AVE + PONI MOI RD" 8
"stops.txt" "stop_name" "PAKI AVE + DIAMOND HEAD TENNIS CTR" 9
"stops.txt" "stop_name" "PAKI AVE + NOELA ST" 10
"stops.txt" "stop_name" "PAKI AVE + PAKI PLAYGROUND" 11
"stops.txt" "stop_name" "PAKI AVE + MONSARRAT AVE" 12
"stops.txt" "stop_name" "PAKI AVE + KAPAHULU AVE" 13
"stops.txt" "stop_name" "KAPAHULU AVE + ALA WAI BL" 14
"stops.txt" "stop_name" "KAPAHULU AVE + KUHIO AVE" 15
"stops.txt" "stop_name" "KUHIO AVE + PAOAKALANI AVE" 16
"stops.txt" "stop_name" "KUHIO AVE + LILIUOKALANI AVE" 17
"stops.txt" "stop_name" "KUHIO AVE + KAIULANI AVE" 18
"stops.txt" "stop_name" "KUHIO AVE + WALINA ST" 19
"stops.txt" "stop_name" "KUHIO AVE + SEASIDE AVE" 20
"stops.txt" "stop_name" "KUHIO AVE + LEWERS ST" 21
"stops.txt" "stop_name" "KUHIO AVE + LAUNIU ST" 22
"stops.txt" "stop_name" "KUHIO AVE + NAMAHANA ST" 23
"stops.txt" "stop_name" "KALAKAUA AVE + PAU ST" 24
"stops.txt" "stop_name" "KALAKAUA AVE + MCCULLY ST" 25
"stops.txt" "stop_name" "KALAKAUA AVE + KAPIOLANI BL" 26
"stops.txt" "stop_name" "KALAKAUA AVE + KAPIOLANI BL" 27
"stops.txt" "stop_name" "KALAKAUA AVE + OPP MAKALOA ST" 28
"stops.txt" "stop_name" "KALAKAUA AVE + PHILIP ST" 29
"stops.txt" "stop_name" "KALAKAUA AVE + S KING ST" 30
"stops.txt" "stop_name" "S BERETANIA ST + OPP KALAKAUA AVE" 31
"stops.txt" "stop_name" "S BERETANIA ST + KEEAUMOKU ST" 32
"stops.txt" "stop_name" "S BERETANIA ST + PIIKOI ST" 33
"stops.txt" "stop_name" "S BERETANIA ST + PENSACOLA ST" 34
"stops.txt" "stop_name" "S BERETANIA ST + WARD AVE" 35
"stops.txt" "stop_name" "S BERETANIA ST + ALAPAI ST" 36
"stops.txt" "stop_name" "S BERETANIA ST + PUNCHBOWL ST" 37
"stops.txt" "stop_name" "S HOTEL ST + ALAKEA ST" 38
"stops.txt" "stop_name" "S HOTEL ST + BISHOP ST" 39
"stops.txt" "stop_name" "S HOTEL ST + BETHEL ST" 40
"stops.txt" "stop_name" "N HOTEL ST + KEKAULIKE ST" 41
"stops.txt" "stop_name" "N KING ST + N BERETANIA ST" 42
"stops.txt" "stop_name" "LILIHA ST + N KING ST" 43
"stops.txt" "stop_name" "LILIHA ST + VINEYARD BL" 44
"stops.txt" "stop_name" "LILIHA ST + KAULUWELA PL" 45
"stops.txt" "stop_name" "LILIHA ST + SCHOOL ST" 46
"stops.txt" "stop_name" "LILIHA ST + 1657" 47
"stops.txt" "stop_name" "LILIHA ST + KUAKINI ST" 48
"stops.txt" "stop_name" "LILIHA ST + ELENA ST" 49
"stops.txt" "stop_name" "LILIHA ST + BATES ST" 50
"stops.txt" "stop_name" "LILIHA ST + JUDD ST" 51
service_has_no_active_day_of_the_week WARNING 70

service_has_no_active_day_of_the_week

A service is not valid for any day of the week.

You can see more about this notice here.

Only the first 50 of 70 affected records are displayed below.

csvRowNumber (?) The row number in calendar.txt where the error occurs. serviceId (?) The service_id field value.
4 "27694"
6 "27696"
8 "27698"
10 "27700"
15 "27710"
17 "27715"
20 "27718"
21 "27719"
31 "27741"
32 "27742"
37 "27749"
38 "27750"
39 "27751"
40 "27752"
41 "27753"
42 "27754"
43 "27755"
44 "27756"
45 "27757"
46 "27758"
48 "27765"
50 "27767"
52 "27769"
54 "27771"
56 "27773"
57 "27776"
58 "27779"
59 "27780"
61 "27786"
63 "27788"
64 "27789"
67 "27792"
68 "27795"
69 "27798"
70 "27799"
71 "27804"
72 "27807"
73 "27808"
74 "27809"
75 "27810"
76 "27811"
80 "27819"
81 "27820"
82 "27821"
83 "27822"
90 "27692"
91 "27702"
92 "27703"
93 "27705"
94 "27706"
stop_too_far_from_shape WARNING 2

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.
8835 "3310012" "5361620" 1205834 "934" "AMC TERMINAL" [21.33217,-157.95106] 148.976513434396
6858 "3310013" "5361769" 36638 "934" "AMC TERMINAL" [21.33217,-157.95106] 148.976513434396
stop_without_stop_time WARNING 3

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.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
3783 "4851" "KALEWA ST TERMINUS"
3815 "32003" "KALIHI FACILITY GARAGE"
3816 "32004" "PEARL CITY FACILITY GARAGE"
big_gap_in_service INFO 58

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

Only the first 50 of 58 affected records are displayed below.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"27767" "2026-10-09" "2026-11-03" 24
"27767" "2026-11-03" "2026-11-27" 23
"27769" "2026-10-09" "2026-11-03" 24
"27769" "2026-11-03" "2026-11-27" 23
"27771" "2026-10-09" "2026-11-03" 24
"27771" "2026-11-03" "2026-11-27" 23
"27773" "2026-10-09" "2026-11-03" 24
"27773" "2026-11-03" "2026-11-27" 23
"27776" "2026-10-09" "2026-11-03" 24
"27776" "2026-11-03" "2026-11-27" 23
"27779" "2026-08-28" "2026-10-05" 37
"27779" "2026-10-09" "2026-11-03" 24
"27779" "2026-11-03" "2026-11-27" 23
"27780" "2026-08-28" "2026-10-05" 37
"27780" "2026-10-09" "2026-11-03" 24
"27780" "2026-11-03" "2026-11-27" 23
"27786" "2026-08-26" "2026-10-05" 39
"27786" "2026-10-09" "2026-11-03" 24
"27786" "2026-11-03" "2026-11-27" 23
"27788" "2026-10-09" "2026-11-03" 24
"27788" "2026-11-03" "2026-11-27" 23
"27789" "2026-10-09" "2026-11-03" 24
"27789" "2026-11-03" "2026-11-27" 23
"27792" "2026-10-09" "2026-11-03" 24
"27792" "2026-11-03" "2026-11-27" 23
"27795" "2026-10-09" "2026-11-03" 24
"27795" "2026-11-03" "2026-11-27" 23
"27798" "2026-08-28" "2026-10-05" 37
"27798" "2026-10-09" "2026-11-03" 24
"27798" "2026-11-03" "2026-11-27" 23
"27799" "2026-08-28" "2026-10-05" 37
"27799" "2026-10-09" "2026-11-03" 24
"27799" "2026-11-03" "2026-11-27" 23
"27804" "2026-08-28" "2026-10-05" 37
"27804" "2026-10-09" "2026-11-03" 24
"27804" "2026-11-03" "2026-11-27" 23
"27807" "2026-10-09" "2026-11-03" 24
"27807" "2026-11-03" "2026-11-27" 23
"27808" "2026-10-09" "2026-11-03" 24
"27808" "2026-11-03" "2026-11-27" 23
"27809" "2026-10-09" "2026-11-03" 24
"27809" "2026-11-03" "2026-11-27" 23
"27810" "2026-10-09" "2026-11-03" 24
"27810" "2026-11-03" "2026-11-27" 23
"27811" "2026-10-09" "2026-11-03" 24
"27811" "2026-11-03" "2026-11-27" 23
"27819" "2026-08-28" "2026-10-05" 37
"27819" "2026-10-09" "2026-11-03" 24
"27819" "2026-11-03" "2026-11-27" 23
"27820" "2026-08-28" "2026-10-05" 37
future_feed INFO 1

future_feed

The feed covers the future only.

The minimum start_date in feed_info.txt is greater than today's date, indicating the feed covers the future only.

You can see more about this notice here.

feedStartDate (?) Feed start date. currentDate (?) Current date.
"20260809" "20260808"
service_window_outside_feed_period INFO 63

service_window_outside_feed_period

A service window is not covered by the feed's validity period.

You can see more about this notice here.

Only the first 50 of 63 affected records are displayed below.

serviceId (?) The service_id whose active window extends outside the feed validity period. serviceWindowStartDate (?) The first active date of the service window. serviceWindowEndDate (?) The last active date of the service window. daysBeforeFeedStart (?) Number of days the service window extends before feed_start_date (0 if none). daysAfterFeedEnd (?) Number of days the service window extends after feed_end_date (0 if none).
"27744" "2026-08-05" "2026-08-19" 4 0
"27745" "2026-07-13" "2026-07-31" 27 0
"27742" "2026-08-03" "2026-08-20" 6 0
"27743" "2026-08-05" "2026-08-19" 4 0
"27748" "2026-07-13" "2026-07-31" 27 0
"27749" "2026-08-03" "2026-08-20" 6 0
"27746" "2026-07-13" "2026-07-31" 27 0
"27747" "2026-07-13" "2026-07-31" 27 0
"27740" "2026-08-03" "2026-08-20" 6 0
"27741" "2026-08-03" "2026-08-20" 6 0
"27753" "2026-07-13" "2026-07-17" 27 0
"27751" "2026-08-03" "2026-08-20" 6 0
"27752" "2026-08-03" "2026-08-20" 6 0
"27750" "2026-08-03" "2026-08-20" 6 0
"27728" "2026-08-03" "2026-08-19" 6 0
"27729" "2026-08-03" "2026-08-19" 6 0
"27689" "2026-07-18" "2026-08-22" 22 0
"27722" "2026-08-05" "2026-08-19" 4 0
"27723" "2026-07-13" "2026-07-31" 27 0
"27720" "2026-07-13" "2026-07-31" 27 0
"27721" "2026-08-03" "2026-08-20" 6 0
"27726" "2026-07-13" "2026-07-31" 27 0
"27727" "2026-07-13" "2026-07-31" 27 0
"27724" "2026-08-03" "2026-08-19" 6 0
"27725" "2026-08-04" "2026-08-20" 5 0
"27739" "2026-08-03" "2026-08-20" 6 0
"27733" "2026-08-03" "2026-08-17" 6 0
"27734" "2026-08-04" "2026-08-20" 5 0
"27698" "2026-08-03" "2026-08-20" 6 0
"27731" "2026-08-04" "2026-08-20" 5 0
"27699" "2026-07-13" "2026-07-31" 27 0
"27732" "2026-07-13" "2026-07-31" 27 0
"27737" "2026-07-13" "2026-07-31" 27 0
"27738" "2026-07-13" "2026-07-31" 27 0
"27735" "2026-07-13" "2026-07-31" 27 0
"27736" "2026-07-13" "2026-07-31" 27 0
"27690" "2026-07-13" "2026-08-20" 27 0
"27691" "2026-07-12" "2026-08-16" 28 0
"27696" "2026-08-03" "2026-08-20" 6 0
"27697" "2026-07-13" "2026-07-31" 27 0
"27730" "2026-08-04" "2026-08-20" 5 0
"27694" "2026-07-13" "2026-08-20" 27 0
"27695" "2026-07-13" "2026-07-31" 27 0
"27708" "2026-07-13" "2026-07-31" 27 0
"27709" "2026-08-03" "2026-08-17" 6 0
"27706" "2026-08-05" "2026-08-19" 4 0
"27707" "2026-07-13" "2026-07-31" 27 0
"27700" "2026-08-03" "2026-08-20" 6 0
"27701" "2026-07-13" "2026-07-31" 27 0
"27704" "2026-07-13" "2026-07-31" 27 0
trip_with_shape_dist_traveled_but_no_shape_distances INFO 37779

trip_with_shape_dist_traveled_but_no_shape_distances

A trip has shape_dist_traveled values in stop_times.txt but the shape referenced by the trip's shape_id does not have shape_dist_traveled values on all of its points in shapes.txt.

When stop times define distance values but the shape does not carry matching distances on every point, consumers cannot use those distances to align stops to the shape geometry reliably. This inconsistency may cause incorrect routing or display behaviour.

Note: Only the first stop time carrying a shape_dist_traveled value is referenced in the notice; this is a representative row rather than an exhaustive list.

You can see more about this notice here.

Only the first 50 of 37779 affected records are displayed below.

tripCsvRowNumber (?) The row number of the faulty record in trips.txt. tripId (?) The trip_id of the faulty trip. shapeId (?) The shape_id referenced by the trip. stopTimeCsvRowNumber (?) The row number of the first stop_times.txt record for this trip that contains a shape_dist_traveled value. Provided as a representative location; other stop times for the same trip may also carry distance values.
25783 "5365729" "3310012" 24557
24311 "5365728" "470050" 3106
16616 "5353740" "401468" 3744
2235 "5341759" "460048" 2306
16619 "5353745" "401429" 3746
11822 "5338104" "3310008_merge" 24395
14014 "5338105" "W0013_merge" 11971
14524 "5353746" "420629" 21093
16620 "5353747" "401429" 3747
11821 "5338102" "470052" 33879
14906 "5353748" "401465" 19819
13649 "5338103" "2000021" 25796
16617 "5353741" "401429" 3745
12027 "5338108" "W0008_merge" 11343
12028 "5338109" "W0008_merge" 11344
14905 "5353742" "A0315" 14001
14523 "5353743" "420631" 20143
11823 "5338106" "3310008_merge" 24396
11824 "5338107" "2000031" 35035
16618 "5353744" "401429" 335766
3685 "5341761" "950073" 35215
1692 "5341760" "5110022" 34435
14012 "5338100" "W0013_merge" 11969
24368 "5365730" "W0015" 12415
14522 "5353738" "420629" 21092
16615 "5353739" "401429" 3743
14013 "5338101" "W0013_merge" 11970
4439 "5341767" "4610037" 21659
25785 "5365734" "3310012" 24559
3687 "5341766" "3060037" 505
25784 "5365733" "3310012" 24558
24313 "5365732" "470054" 3108
1696 "5341769" "950072" 7764
24312 "5365731" "470050" 3107
1695 "5341768" "5110022" 34436
26033 "5365738" "W0014" 11784
1693 "5341763" "5410001" 27514
3686 "5341762" "1230013" 33300
24314 "5365737" "3310013" 36648
4472 "5341765" "460047" 12657
25787 "5365736" "470052" 33962
25786 "5365735" "3310012" 24560
1694 "5341764" "6510050" 28844
25788 "5365739" "470052" 33963
3680 "5341749" "3060037" 503
1689 "5341748" "6510050" 28842
14904 "5353734" "A0315" 14000
10134 "5338115" "3070017" 28175
13650 "5338116" "3310001_merge" 36523
14521 "5353735" "420631" 568854
unknown_column INFO 11

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.
"feed_info.txt" "feed_description" 7
"stop_times.txt" "stop_code" 11
"stops.txt" "stop_serial_number" 11
"trips.txt" "trip_headsign_short" 8
"trips.txt" "apc_trip_id" 9
"trips.txt" "display_code" 10
"trips.txt" "trip_serial_number" 11
"trips.txt" "block" 12
"calendar.txt" "events_and_status" 11
"calendar.txt" "operating_days" 12
"calendar.txt" "duty" 13
unsorted_stop_times INFO 37779

unsorted_stop_times

Stop times are not sorted by trip_id and stop_sequence.

'stop_times.txt' entries for a given trip are not sorted by stop_sequence, or are not contiguous in the file.

You can see more about this notice here.

Only the first 50 of 37779 affected records are displayed below.

tripId (?) The faulty record's trip_id. startCsvRowNumber (?) CSV row number of the first stop_times entry for this trip. endCsvRowNumber (?) CSV row number of the last stop_times entry for this trip.
"5365729" 24557 1414886
"5365728" 3106 1428284
"5353740" 3744 1393840
"5341759" 2306 1427755
"5353745" 3746 1393842
"5338104" 24395 1414758
"5338105" 11971 1396341
"5353746" 21093 1414635
"5353747" 3747 1393843
"5338102" 33879 1423286
"5353748" 19819 1404367
"5338103" 25796 1410983
"5353741" 3745 1393841
"5338108" 11343 1396983
"5338109" 11344 1396984
"5353742" 14001 1400685
"5353743" 20143 1413762
"5338106" 24396 1414759
"5338107" 35035 1425610
"5353744" 67397 335766
"5341761" 35215 1425837
"5341760" 34435 1425022
"5338100" 11969 1396339
"5365730" 12415 1396785
"5353738" 21092 1414634
"5353739" 3743 1393839
"5338101" 11970 1396340
"5341767" 21659 1406606
"5365734" 24559 1414888
"5341766" 505 1420355
"5365733" 24558 1414887
"5365732" 3108 1428286
"5341769" 7764 1398344
"5365731" 3107 1428285
"5341768" 34436 1425023
"5365738" 11784 1397424
"5341763" 27514 1413911
"5341762" 33300 1422359
"5365737" 36648 1422968
"5341765" 12657 1398909
"5365736" 33962 1423369
"5365735" 24560 1414889
"5341764" 28844 1415225
"5365739" 33963 1423370
"5341749" 503 1420353
"5341748" 28842 1415223
"5353734" 14000 1400684
"5338115" 28175 1413454
"5338116" 36523 1424496
"5353735" 103133 568854