GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-01-23T23:41:01Z,
for the dataset file:///shared/gocarta-us.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
CARTA
Publisher URL:
http://www.gocarta.org
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2024-05-05
Feed End Date:
2024-08-17

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. frequencies.txt
  8. routes.txt
  9. shapes.txt
  10. stop_times.txt
  11. stops.txt
  12. transfers.txt
  13. trips.txt

Counts

  • Agencies: 1
  • Blocks: 148
  • Routes: 18
  • Shapes: 71
  • Stops: 1237
  • Trips: 1711

Specification Compliance report

1921 notices reported (1 errors, 1920 warnings, 0 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 1

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.

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.
"shp-8-54" 77259 28874.16 2026 77258 28874.16 2025 9.257883140335478
equal_shape_distance_same_coordinates WARNING 7

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.

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`.
"shp-13-52" 24833 11320.9 922 24832 11320.9 921
"shp-21-55" 38934 4664.02 348 38933 4664.02 347
"shp-9-52" 83735 11874.25 1002 83734 11874.25 1001
"shp-10C-51" 11716 6534.41 486 11715 6534.41 485
"shp-1-65" 35708 12129.9 973 35707 12129.9 972
"shp-10C-53" 14509 7034.61 444 14508 7034.61 443
"shp-10C-52" 12959 1553.82 122 12958 1553.82 121
expired_calendar WARNING 3

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 "1"
3 "2"
4 "3"
fast_travel_between_consecutive_stops WARNING 78

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type Description Threshold, km/h
0 Light rail 100
1 Subway 150
2 Rail 500
3 Bus 150
4 Ferry 80
5 Cable tram 30
6 Aerial lift 50
7 Funicular 50
11 Trolleybus 150
12 Monorail 150
- Unknown 200

You can see more about this notice here.

Only the first 50 of 78 affected records are displayed below.

tripCsvRowNumber (?) The row number of the problematic trip. tripId (?) `trip_id` of the problematic trip. routeId (?) `route_id` of the problematic trip. speedKph (?) Travel speed (km/h). distanceKm (?) Distance between stops (km). csvRowNumber1 (?) The row number of the first stop time. stopSequence1 (?) `stop_sequence` of the first stop. stopId1 (?) `stop_id` of the first stop. stopName1 (?) `stop_name` of the first stop. departureTime1 (?) `departure_time` of the first stop. csvRowNumber2 (?) The row number of the second stop time. stopSequence2 (?) `stop_sequence` of the second stop. stopId2 (?) `stop_id` of the second stop. stopName2 (?) `stop_name` of the second stop. arrivalTime2 (?) `arrival_time` of the second stop.
366 "569070" "3" 190.28826589243374 0.3171471098207229 25627 23 "2269" "Bonny Oaks & Tasty Kake Bakery" "06:57:25" 25628 24 "2270" "Bonny Oaks & Dewayn Rd-0" "06:57:31"
1392 "913010" "9" 805.7559471383217 0.2238210964273116 41147 1 "2092" "Sholar & CARTA 0" "08:51:00" 41148 2 "2044" "Holtzclaw & Wilson-1" "08:51:01"
1392 "913010" "9" 3215.5834859342485 0.8932176349817357 41148 2 "2044" "Holtzclaw & Wilson-1" "08:51:01" 41149 3 "2399" "Holtzclaw & Citico-1" "08:51:02"
1392 "913010" "9" 256.14237182127346 0.07115065883924263 41150 4 "712" "HOLTZCLAW + 3RD" "08:51:29" 41151 5 "2232" "3rd & Heavenly Wings-1" "08:51:30"
1392 "913010" "9" 344.6802342661548 0.4787225475918817 41151 5 "2232" "3rd & Heavenly Wings-1" "08:51:30" 41152 6 "274" "3RD + SCRUGGS" "08:51:35"
1392 "913010" "9" 293.74802447962327 0.16319334693312404 41164 18 "287" "3RD + CHERRY" "08:59:53" 41165 19 "1939" "Market & 4th-1-0" "08:59:55"
1392 "913010" "9" 225.00058278692117 0.18750048565576763 41165 19 "1939" "Market & 4th-1-0" "08:59:55" 41166 20 "2064" "Market & Family Dollar-0" "08:59:58"
1392 "913010" "9" 356.03308125817136 0.19779615625453964 41166 20 "2064" "Market & Family Dollar-0" "08:59:58" 41167 21 "1555" "MARKET + 6TH" "09:00:00"
1253 "1622070" "3" 285.4323988386506 0.3171471098207229 72462 43 "2269" "Bonny Oaks & Tasty Kake Bakery" "05:18:02" 72463 44 "2270" "Bonny Oaks & Dewayn Rd-0" "05:18:06"
115 "604020" "3" 228.3459190709205 0.3171471098207229 27258 43 "2269" "Bonny Oaks & Tasty Kake Bakery" "16:52:38" 27259 44 "2270" "Bonny Oaks & Dewayn Rd-0" "16:52:43"
506 "1530020" "9" 805.7559471383217 0.2238210964273116 68156 1 "2092" "Sholar & CARTA 0" "12:51:00" 68157 2 "2044" "Holtzclaw & Wilson-1" "12:51:01"
992 "1687070" "9" 805.7559471383217 0.2238210964273116 75191 1 "2092" "Sholar & CARTA 0" "12:51:00" 75192 2 "2044" "Holtzclaw & Wilson-1" "12:51:01"
506 "1530020" "9" 3215.5834859342485 0.8932176349817357 68157 2 "2044" "Holtzclaw & Wilson-1" "12:51:01" 68158 3 "2399" "Holtzclaw & Citico-1" "12:51:02"
992 "1687070" "9" 3215.5834859342485 0.8932176349817357 75192 2 "2044" "Holtzclaw & Wilson-1" "12:51:01" 75193 3 "2399" "Holtzclaw & Citico-1" "12:51:02"
506 "1530020" "9" 256.14237182127346 0.07115065883924263 68159 4 "712" "HOLTZCLAW + 3RD" "12:51:29" 68160 5 "2232" "3rd & Heavenly Wings-1" "12:51:30"
992 "1687070" "9" 256.14237182127346 0.07115065883924263 75194 4 "712" "HOLTZCLAW + 3RD" "12:51:29" 75195 5 "2232" "3rd & Heavenly Wings-1" "12:51:30"
506 "1530020" "9" 344.6802342661548 0.4787225475918817 68160 5 "2232" "3rd & Heavenly Wings-1" "12:51:30" 68161 6 "274" "3RD + SCRUGGS" "12:51:35"
992 "1687070" "9" 344.6802342661548 0.4787225475918817 75195 5 "2232" "3rd & Heavenly Wings-1" "12:51:30" 75196 6 "274" "3RD + SCRUGGS" "12:51:35"
506 "1530020" "9" 293.74802447962327 0.16319334693312404 68173 18 "287" "3RD + CHERRY" "12:59:53" 68174 19 "1939" "Market & 4th-1-0" "12:59:55"
992 "1687070" "9" 293.74802447962327 0.16319334693312404 75208 18 "287" "3RD + CHERRY" "12:59:53" 75209 19 "1939" "Market & 4th-1-0" "12:59:55"
506 "1530020" "9" 225.00058278692117 0.18750048565576763 68174 19 "1939" "Market & 4th-1-0" "12:59:55" 68175 20 "2064" "Market & Family Dollar-0" "12:59:58"
992 "1687070" "9" 225.00058278692117 0.18750048565576763 75209 19 "1939" "Market & 4th-1-0" "12:59:55" 75210 20 "2064" "Market & Family Dollar-0" "12:59:58"
506 "1530020" "9" 356.03308125817136 0.19779615625453964 68175 20 "2064" "Market & Family Dollar-0" "12:59:58" 68176 21 "1555" "MARKET + 6TH" "13:00:00"
992 "1687070" "9" 356.03308125817136 0.19779615625453964 75210 20 "2064" "Market & Family Dollar-0" "12:59:58" 75211 21 "1555" "MARKET + 6TH" "13:00:00"
291 "1527020" "3" 190.28826589243374 0.3171471098207229 68105 23 "2269" "Bonny Oaks & Tasty Kake Bakery" "07:57:25" 68106 24 "2270" "Bonny Oaks & Dewayn Rd-0" "07:57:31"
893 "1590020" "3" 228.3459190709205 0.3171471098207229 70891 43 "2269" "Bonny Oaks & Tasty Kake Bakery" "05:17:38" 70892 44 "2270" "Bonny Oaks & Dewayn Rd-0" "05:17:43"
1071 "253070" "9" 805.7559471383217 0.2238210964273116 11226 1 "2092" "Sholar & CARTA 0" "11:31:00" 11227 2 "2044" "Holtzclaw & Wilson-1" "11:31:01"
1071 "253070" "9" 3215.5834859342485 0.8932176349817357 11227 2 "2044" "Holtzclaw & Wilson-1" "11:31:01" 11228 3 "2399" "Holtzclaw & Citico-1" "11:31:02"
1071 "253070" "9" 256.14237182127346 0.07115065883924263 11229 4 "712" "HOLTZCLAW + 3RD" "11:31:29" 11230 5 "2232" "3rd & Heavenly Wings-1" "11:31:30"
1071 "253070" "9" 344.6802342661548 0.4787225475918817 11230 5 "2232" "3rd & Heavenly Wings-1" "11:31:30" 11231 6 "274" "3RD + SCRUGGS" "11:31:35"
1071 "253070" "9" 293.74802447962327 0.16319334693312404 11243 18 "287" "3RD + CHERRY" "11:39:53" 11244 19 "1939" "Market & 4th-1-0" "11:39:55"
1071 "253070" "9" 225.00058278692117 0.18750048565576763 11244 19 "1939" "Market & 4th-1-0" "11:39:55" 11245 20 "2064" "Market & Family Dollar-0" "11:39:58"
1071 "253070" "9" 356.03308125817136 0.19779615625453964 11245 20 "2064" "Market & Family Dollar-0" "11:39:58" 11246 21 "1555" "MARKET + 6TH" "11:40:00"
792 "843020" "3" 228.3459190709205 0.3171471098207229 38130 43 "2269" "Bonny Oaks & Tasty Kake Bakery" "15:27:38" 38131 44 "2270" "Bonny Oaks & Dewayn Rd-0" "15:27:43"
610 "1534020" "3" 228.3459190709205 0.3171471098207229 68446 43 "2269" "Bonny Oaks & Tasty Kake Bakery" "15:57:38" 68447 44 "2270" "Bonny Oaks & Dewayn Rd-0" "15:57:43"
1667 "1468020" "3" 190.28826589243374 0.3171471098207229 65610 23 "2269" "Bonny Oaks & Tasty Kake Bakery" "06:57:25" 65611 24 "2270" "Bonny Oaks & Dewayn Rd-0" "06:57:31"
71 "81020" "9" 805.7559471383217 0.2238210964273116 3747 1 "2092" "Sholar & CARTA 0" "04:51:00" 3748 2 "2044" "Holtzclaw & Wilson-1" "04:51:01"
235 "1243070" "9" 805.7559471383217 0.2238210964273116 55683 1 "2092" "Sholar & CARTA 0" "04:51:00" 55684 2 "2044" "Holtzclaw & Wilson-1" "04:51:01"
71 "81020" "9" 3215.5834859342485 0.8932176349817357 3748 2 "2044" "Holtzclaw & Wilson-1" "04:51:01" 3749 3 "2399" "Holtzclaw & Citico-1" "04:51:02"
235 "1243070" "9" 3215.5834859342485 0.8932176349817357 55684 2 "2044" "Holtzclaw & Wilson-1" "04:51:01" 55685 3 "2399" "Holtzclaw & Citico-1" "04:51:02"
71 "81020" "9" 256.14237182127346 0.07115065883924263 3750 4 "712" "HOLTZCLAW + 3RD" "04:51:29" 3751 5 "2232" "3rd & Heavenly Wings-1" "04:51:30"
235 "1243070" "9" 256.14237182127346 0.07115065883924263 55686 4 "712" "HOLTZCLAW + 3RD" "04:51:29" 55687 5 "2232" "3rd & Heavenly Wings-1" "04:51:30"
71 "81020" "9" 344.6802342661548 0.4787225475918817 3751 5 "2232" "3rd & Heavenly Wings-1" "04:51:30" 3752 6 "274" "3RD + SCRUGGS" "04:51:35"
235 "1243070" "9" 344.6802342661548 0.4787225475918817 55687 5 "2232" "3rd & Heavenly Wings-1" "04:51:30" 55688 6 "274" "3RD + SCRUGGS" "04:51:35"
71 "81020" "9" 293.74802447962327 0.16319334693312404 3764 18 "287" "3RD + CHERRY" "04:59:53" 3765 19 "1939" "Market & 4th-1-0" "04:59:55"
235 "1243070" "9" 293.74802447962327 0.16319334693312404 55700 18 "287" "3RD + CHERRY" "04:59:53" 55701 19 "1939" "Market & 4th-1-0" "04:59:55"
71 "81020" "9" 225.00058278692117 0.18750048565576763 3765 19 "1939" "Market & 4th-1-0" "04:59:55" 3766 20 "2064" "Market & Family Dollar-0" "04:59:58"
235 "1243070" "9" 225.00058278692117 0.18750048565576763 55701 19 "1939" "Market & 4th-1-0" "04:59:55" 55702 20 "2064" "Market & Family Dollar-0" "04:59:58"
71 "81020" "9" 356.03308125817136 0.19779615625453964 3766 20 "2064" "Market & Family Dollar-0" "04:59:58" 3767 21 "1555" "MARKET + 6TH" "05:00:00"
235 "1243070" "9" 356.03308125817136 0.19779615625453964 55702 20 "2064" "Market & Family Dollar-0" "04:59:58" 55703 21 "1555" "MARKET + 6TH" "05:00:00"
feed_expiration_date7_days WARNING 1

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" "20240817" "20260130"
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 1746

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 1746 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" "MARKET + FAMILY DOLLAR" 2
"stops.txt" "stop_name" "MARKET + 11TH" 3
"stops.txt" "stop_name" "MARKET + 12TH" 4
"stops.txt" "stop_name" "MARKET + COWART" 5
"stops.txt" "stop_name" "MARKET + MAIN" 6
"stops.txt" "stop_name" "MARKET + 17TH" 7
"stops.txt" "stop_name" "MARKET + 19TH" 8
"stops.txt" "stop_name" "MARKET + 20TH" 9
"stops.txt" "stop_name" "MARKET + 21ST" 10
"stops.txt" "stop_name" "MARKET + E 25TH" 11
"stops.txt" "stop_name" "MARKET + W 25TH" 12
"stops.txt" "stop_name" "BROAD + GLENVIEW" 13
"stops.txt" "stop_name" "TENN AVE + WALGREENS" 14
"stops.txt" "stop_name" "52ND + 524" 16
"stops.txt" "stop_name" "HALSEY + CENTRAL" 17
"stops.txt" "stop_name" "CENTRAL + WORKMANS" 18
"stops.txt" "stop_name" "CENTRAL + 45TH" 19
"stops.txt" "stop_name" "CENTRAL + 42ND" 20
"stops.txt" "stop_name" "CENTRAL + 41ST" 21
"stops.txt" "stop_name" "CENTRAL + 38TH" 22
"stops.txt" "stop_name" "38TH + HUGHES" 23
"stops.txt" "stop_name" "38TH + KIRKLAND" 24
"stops.txt" "stop_name" "38TH + CHANDLER PLACE" 25
"stops.txt" "stop_name" "38TH + OHLS" 26
"stops.txt" "stop_name" "38TH + ALTON PK BLVD" 27
"stops.txt" "stop_name" "37TH + CALVIN DONALDSON" 28
"stops.txt" "stop_name" "PIROLA + 37TH" 29
"stops.txt" "stop_name" "PIROLA + 38TH" 30
"stops.txt" "stop_name" "PIROLA + POST OFFICE" 31
"stops.txt" "stop_name" "40TH + SOUTHSIDE REC" 32
"stops.txt" "stop_name" "BROAD + 33RD" 33
"stops.txt" "stop_name" "33RD + CHATTEM" 34
"stops.txt" "stop_name" "33RD + WILLIAMS" 35
"stops.txt" "stop_name" "33RD + TARLTON" 36
"stops.txt" "stop_name" "33RD + DELONG" 37
"stops.txt" "stop_name" "33RD + ALTON PK BLVD" 38
"stops.txt" "stop_name" "ALTON PK BLVD + 31ST" 39
"stops.txt" "stop_name" "ALTON PK BLVD + SHIPP" 40
"stops.txt" "stop_name" "S MARKET + HOWARD SCHOOL OF ACADEMICS AND TECHNOLOGY" 41
"stops.txt" "stop_name" "S MARKET + E 25TH" 42
"stops.txt" "stop_name" "S MARKET + 19TH" 43
"stops.txt" "stop_name" "S MARKET + 17TH" 44
"stops.txt" "stop_name" "S MARKET + 16TH" 45
"stops.txt" "stop_name" "S MARKET + MAIN" 46
"stops.txt" "stop_name" "MARKET + CHOO CHOO" 47
"stops.txt" "stop_name" "MARKET + SPS" 48
"stops.txt" "stop_name" "MARKET + DRC" 49
"stops.txt" "stop_name" "MARKET + 12TH" 50
"stops.txt" "stop_name" "49TH + WILSON" 51
"stops.txt" "stop_name" "WILSON + WORKMANS" 52
route_color_contrast WARNING 11

route_color_contrast

Insufficient route color contrast.

A route's color and route_text_color should be contrasting.

You can see more about this notice here.

routeId (?) The id of the faulty record. csvRowNumber (?) The row number of the faulty record. routeColor (?) The faulty record's HTML route color. routeTextColor (?) The faulty record's HTML route text color.
"13" 6 "#0000FF" "#000000"
"21" 9 "#0000FF" "#000000"
"28" 10 "#0000FF" "#000000"
"2A" 11 "#0000FF" "#000000"
"3" 12 "#800080" "#000000"
"33" 13 "#0000FF" "#000000"
"34" 14 "#0000FF" "#000000"
"4" 15 "#0000FF" "#000000"
"8" 17 "#0000FF" "#000000"
"9" 18 "#0000FF" "#000000"
"DTS" 19 "#0000FF" "#000000"
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`.
"10G" 5 "10G" "10G"
stop_has_too_many_matches_for_shape WARNING 10

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.

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.
49 "shp-10G-04" "939020" 42501 "145" "MARKET + 12TH" [35.04194300000001,-85.308778] 28
49 "shp-10G-04" "939020" 42502 "1560" "MARKET + WAREHOUSE ROW" [35.042664,-85.309119] 28
49 "shp-10G-04" "939020" 42556 "347" "CHAMBERLAIN + GLASS" [35.06542600000001,-85.248962] 37
49 "shp-10G-04" "939020" 42501 "145" "MARKET + 12TH" [35.04194300000001,-85.308778] 28
259 "shp-10G-03" "767020" 34858 "347" "CHAMBERLAIN + GLASS" [35.06542600000001,-85.248962] 37
18 "shp-16-13" "1072010" 48424 "526" "HIXSON PK + 1814" [35.08111,-85.28974000000001] 26
18 "shp-16-13" "1072010" 48425 "527" "HIXSON PK + MINNEKAHDA" [35.08181999999999,-85.28978] 26
26 "shp-10A-01" "4010" 157 "145" "MARKET + 12TH" [35.04194300000001,-85.308778] 28
26 "shp-10A-01" "4010" 158 "1560" "MARKET + WAREHOUSE ROW" [35.042664,-85.309119] 28
26 "shp-10A-01" "4010" 157 "145" "MARKET + 12TH" [35.04194300000001,-85.308778] 28
stop_without_stop_time WARNING 53

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.

Only the first 50 of 53 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty stop. stopName (?) The name of the faulty stop.
127 "273" "3RD + FIELD HOUSE"
147 "297" "CAMPBELL + MOON"
148 "298" "CAMPBELL + WILDER"
199 "355" "HOLZCLAW + WILCOX"
200 "356" "HOLZCLAW + WILSON"
201 "358" "HOLZCLAW + CHATTANOOGA HOUSING AUTHORITY"
202 "359" "HOLZCLAW + CLEVELAND"
245 "427" "BROAD + TVA #1"
271 "487" "BROAD + 8TH"
273 "489" "BROAD + 6TH NS"
276 "495" "12TH + MARKET"
365 "629" "WILCOX + PIN OAK"
369 "671" "WILCOX + DALEWOOD"
370 "672" "WILCOX + JEANAGA"
371 "673" "WILCOX + DOGWOOD"
372 "675" "WILCOX + PARKWAY"
408 "795" "BROAD + 10TH"
557 "1047" "DEE DRIVE + EMMA KATE"
558 "1048" "DEE DRIVE + 3118"
559 "1049" "DEE DRIVE + GREENWOOD"
560 "1051" "NORTH CREST + LIGHT MILL"
561 "1052" "NORTH CREST + GLASS"
562 "1054" "NEW YORK + NEW JERSEY"
563 "1055" "NEW YORK + 3185"
564 "1057" "TUNNEL BLVD + TOWERWAY"
565 "1058" "TUNNEL BLVD + ACUFF"
566 "1059" "TUNNEL BLVD + COGSWELL"
567 "1060" "TUNNEL BLVD + NORTH BRIAR"
568 "1061" "TUNNEL BLVD + GREEN FOR"
569 "1064" "TUNNEL BLVD + PERSIMMON"
570 "1065" "TUNNEL BLVD + 1819"
571 "1070" "TUNNEL BLVD + GAY"
572 "1071" "TUNNEL BLVD + THROUGH"
573 "1072" "TUNNEL BLVD + HOYT"
574 "1073" "TUNNEL BLVD + LASALLE"
575 "1074" "TUNNEL BLVD + BELMEADE"
576 "1075" "TUNNEL BLVD + SHALLOWFORD"
577 "1076" "TUNNEL BLVD + FRANKS STORE"
578 "1077" "GERMANTOWN + TUNNEL BLVD"
579 "1078" "GERMANTOWN + MENLO"
580 "1079" "GERMANTOWN + RIDGESIDE"
581 "1080" "GERMANTOWN + ROGERS ROAD"
582 "1082" "GERMANTOWN + MONTVIEW"
794 "1492" "GREENWOOD + NORTH CREST"
795 "1493" "TUNNEL + WILDWOOD"
796 "1494" "GERMANTOWN + TERRELL"
821 "1579" "MARKET + FIRST HORIZON BANK (7TH)"
840 "1834" "EASTWOOD MANOR"
841 "1835" "SHAWHAN + SHALLOWFORD ROAD"
842 "1836" "NORTH MOORE + SHAWHAN"
trip_coverage_not_active_for_next7_days WARNING 1

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" "20240506" "20240816"
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.
"shp-10A-53" 6173
"shp-33-01" 49095
"shp-33-03" 49983
"shp-34-52" 51083
"shp-7-52" 70899
"shp-7-99" 73550
"shp-8-54" 75234