greenbaywi-gov-green-bay-metro-1 — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-24T00:46:23Z,
for the dataset file:///shared/greenbaywi-gov-green-bay-metro-1_97857307.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included


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

Counts


  • Agencies: 2
  • Blocks: 23
  • Routes: 14
  • Shapes: 40
  • Stops: 1469
  • Trips: 4884

Specification Compliance report

6159 notices reported (0 errors, 6158 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 30

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.

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.
"78_2171_2090_IB_AM" 8403 5444.0 146 8402 5444.0 145 0.05251383700657294
"2_1205_2400_IB" 11994 8211.0 185 11993 8211.0 184 0.05251383700657294
"71_1275_2084_AM_IB" 8945 18750.0 522 8944 18750.0 521 0.05251383700657294
"5_2422_2401_IB" 479 5593.0 142 478 5593.0 141 0.05251383700657294
"78_2090 _2171_OB_AM" 7278 159.0 9 7277 159.0 8 0.05251383700657294
"78_2090 _2171_OB_AM" 7697 17718.0 428 7696 17718.0 427 0.21364079201803776
"6_2244_2404_IB" 675 213.0 16 674 213.0 15 0.19825018532733968
"10_2469_2408_IB" 6416 5843.0 167 6415 5843.0 166 0.05251383700657294
"1_1985_2400_IB" 3702 6329.0 172 3701 6329.0 171 0.05251383700657294
"71_2084_1275_AM_OB" 9874 185.0 10 9873 185.0 9 0.05251383700657294
"7_2645_2405_IB" 4314 73.0 5 4313 73.0 4 0.4921316724066839
"7_2645_2405_IB" 4746 10180.0 437 4745 10180.0 436 0.05251383700657294
"1_2400_1985_OB" 6109 27.0 2 6108 27.0 1 0.05251383700657294
"2_2401_1205_OB" 12024 61.0 4 12023 61.0 3 0.05251383700657294
"5_2400_2422_OB" 507 36.0 3 506 36.0 2 0.05251383700657294
"10_2407_2469_OB" 6442 81.0 6 6441 81.0 5 0.05251383700657294
"71_816_2084_PM_IB" 10611 12756.0 332 10610 12756.0 331 0.05251383700657294
"78_1692_2090_IB_PM" 8966 0.0 1 8965 0.0 0 0.15045228558858473
"78_1692_2090_IB_PM" 9561 25572.0 596 9560 25572.0 595 0.8450827684707873
"78_1692_2090_IB_PM" 9844 36005.0 879 9843 36005.0 878 0.05251383700657294
"7_2405_2645_OB" 4775 131.0 8 4774 131.0 7 0.05251383700657294
"9_1959_2406_IB" 1840 3295.0 77 1839 3295.0 76 0.3821685289667123
"5_2422_2400_IB" 3295 5593.0 142 3294 5593.0 141 0.05251383700657294
"75_1438_642_OB" 4111 12347.0 383 4110 12347.0 382 0.31718846813066703
"71_2084_816_PM_OB" 10641 185.0 10 10640 185.0 9 0.05251383700657294
"2_1205_2407_IB" 3506 8211.0 185 3505 8211.0 184 0.05251383700657294
"78_2090_1692_OB_PM" 10032 159.0 9 10031 159.0 8 0.05251383700657294
"10_2469_2401_IB" 3128 5843.0 167 3127 5843.0 166 0.05251383700657294
"9_2406_1959_OB" 2380 10272.0 348 2379 10272.0 347 0.33931908978760794
"1_1985_2401_IB" 4284 6329.0 172 4283 6329.0 171 0.05251383700657294
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
mixed_case_recommended_field WARNING 6047

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 6047 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" "NICOLET & MAHON" 2
"stops.txt" "stop_name" "BAY PARK TRANSFER POINT A" 3
"stops.txt" "stop_name" "CURATIVE CONNECTIONS" 4
"stops.txt" "stop_name" "3030 CURRY" 5
"stops.txt" "stop_name" "BC HEALTH" 6
"stops.txt" "stop_name" "CURRY & ST ANTHONY" 7
"stops.txt" "stop_name" "CURRY & UNIVERSITY" 8
"stops.txt" "stop_name" "TRANSIT CENTER" 9
"stops.txt" "stop_name" "DOUSMAN & BROADWAY" 10
"stops.txt" "stop_name" "BROADWAY & BOND" 11
"stops.txt" "stop_name" "MATHER & BROADWAY" 12
"stops.txt" "stop_name" "MATHER & ASHLAND" 13
"stops.txt" "stop_name" "MATHER & HARRISON" 14
"stops.txt" "stop_name" "MATHER & MELROSE" 15
"stops.txt" "stop_name" "MATHER & HOLZER" 16
"stops.txt" "stop_name" "MATHER & NORTHERN" 17
"stops.txt" "stop_name" "VERLIN & BELLEVUE" 18
"stops.txt" "stop_name" "MORRIS & HILLTOP" 19
"stops.txt" "stop_name" "HILLTOP & RIDGECREST" 20
"stops.txt" "stop_name" "RIDGE & CORMIER" 21
"stops.txt" "stop_name" "RIDGE & SANDRA" 22
"stops.txt" "stop_name" "ANDERSON & RIDGE" 23
"stops.txt" "stop_name" "RIDGE AND LIBERTY" 24
"stops.txt" "stop_name" "RAMADA & ONEIDA" 25
"stops.txt" "stop_name" "SHADY & GLEN" 26
"stops.txt" "stop_name" "MAIN FRONTAGE & MANITOWOC" 27
"stops.txt" "stop_name" "MANITOWOC & MAIN" 28
"stops.txt" "stop_name" "LIME KILN & AUGUST" 29
"stops.txt" "stop_name" "BROADWAY & KELLOGG" 30
"stops.txt" "stop_name" "PORLIER ST & WEBSTER AVE" 31
"stops.txt" "stop_name" "LARSEN & PACKERLAND" 32
"stops.txt" "stop_name" "UNI. & ST GEORGE" 33
"stops.txt" "stop_name" "UNIVERSITY & IRWIN" 34
"stops.txt" "stop_name" "UNIVERSITY & BAIRD" 35
"stops.txt" "stop_name" "SIEGLER & SHAWANO" 36
"stops.txt" "stop_name" "FORT HOWARD & MAIN" 37
"stops.txt" "stop_name" "ST AGNES & 9TH" 38
"stops.txt" "stop_name" "ST AGNES & 9TH" 39
"stops.txt" "stop_name" "LOMBARDI & 10TH" 40
"stops.txt" "stop_name" "ASHLAND & LIBERTY" 42
"stops.txt" "stop_name" "MASON & LOCUST" 43
"stops.txt" "stop_name" "MASON & RIDGE" 44
"stops.txt" "stop_name" "MADISON & CHICAGO" 45
"stops.txt" "stop_name" "MADISON & MORAVIAN" 46
"stops.txt" "stop_name" "MADISON & DOTY" 47
"stops.txt" "stop_name" "MADISON & WALNUT" 48
"stops.txt" "stop_name" "MADISON & CHERRY" 49
"stops.txt" "stop_name" "MADISON & PINE" 50
"stops.txt" "stop_name" "MESA & BALSAM" 51
"stops.txt" "stop_name" "MESA & SHADY" 52
route_long_name_contains_short_name WARNING 3

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`.
"78" 4 "78" "78"
"71" 7 "71" "71"
"75" 14 "75" "75"
same_name_and_description_for_stop WARNING 2

same_name_and_description_for_stop

Same name and description for stop.

The GTFS spec defines stops.txt stop_description as:

Description of the location that provides useful, quality information. Do not simply duplicate the name of the location.

You can see more about this notice here.

csvRowNumber (?) The row number of the faulty record. stopId (?) The id of the faulty record. stopDesc (?) The faulty record's `stop_desc`.
1367 "1:1020" "9TH & MILITARY"
1368 "1:876" "9TH & RIDGE"
stop_without_stop_time WARNING 75

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 75 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.
25 "0:1938" "RAMADA & ONEIDA"
37 "0:2474" "FORT HOWARD & MAIN"
38 "0:2471" "ST AGNES & 9TH"
58 "0:1947" "EAST TOWN MALL"
59 "0:1946" "VOYAGER & KEPLER"
60 "0:1941" "EXECUTIVE AIR"
82 "0:1565" "MANITOWOC & PECAN NE CORNER"
83 "0:2466" "MANITOWOC & MAIN ST FRONTAGE"
99 "0:543" "JEFFERSON & ST JOHN"
149 "0:GARAGE" "GARAGE"
168 "0:1942" "AUSTIN STRAUBEL AIRPORT"
177 "0:341" "WEBSTER & STUART"
196 "0:701" "WISCONSIN & WILLIAM"
258 "0:679" "1112 MASON"
274 "0:625" "9TH & NELSON"
284 "0:2445" "NORWOOD AVE & 9TH ST"
292 "0:1756" "MILITARY & LEO"
293 "0:2038" "BROWN COUNTY FAIRGROUNDS"
294 "0:2254" "EAST SIDE TRANSFER POINT"
336 "0:1939" "2nd on RAMADA"
337 "0:2076" "ASHLAND & WALNUT"
338 "0:1936" "COMMANCHE & PACKERLAND OB"
339 "0:1932" "RAMADA & HANSEN"
340 "0:1417" "MAIN & WEBSTER OB"
341 "0:1943" "WINGATE"
342 "0:1679" "CAROLE & PIONEER"
365 "0:2439" "12TH AVE & VICTORY BLVD"
374 "0:870" "WALMART ZONE 4 TRANSFER POINT"
399 "0:1919" "WASHINGTON & STUART"
412 "0:2430" "CHERRY ST & WASHINGTON ST"
425 "0:288" "LIBAL ST & ALLOUEZ AVE"
426 "0:2451" "LIBAL ST & MEMORY AVE"
427 "0:2452" "ST JOSEPH ST & LIBAL ST"
436 "0:1940" "3rd on RAMADA"
437 "0:2421" "FELLOWS DR & DOUSMAN AVE"
439 "0:2074" "WAUBE & ALLIED"
440 "0:1929" "MAIN & FORT HOWARD"
441 "0:1928" "GREEN BAY METRO LAMBEAU LEAP"
442 "0:1927" "LAMBEAU FIELD"
443 "0:1925" "MILITARY & MASON"
444 "0:2078" "MILITARY & LEO"
445 "0:1264" "EAST TOWN MAIN ENTRANCE"
446 "0:2079" "BROADWAY & PILGRIM"
447 "0:1968" "WEBSTER & CHICAGO"
448 "0:1916" "MAIN & ADAMS"
449 "0:1917" "DONALD DRIVER STOP"
450 "0:2176" "BROWN COUNTY FAIRGROUNDS"
461 "0:1180" "WALNUT & ASHLAND"
462 "0:1179" "SHAWANO & 12TH"
463 "0:2381" "MILITARY and 9TH"
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.
"stops.txt" "vehicle_type" 10