GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-05T04:15:44Z,
for the dataset file:///shared/cata-pa-us_93137bcf.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Statecollege-pa-cata
Publisher URL:
http://www.catabus.com
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2022-08-15
Feed End Date:
2022-12-10

Files included

  1. agency.txt
  2. calendar.txt
  3. fare_attributes.txt
  4. feed_info.txt
  5. frequencies.txt
  6. routes.txt
  7. shapes.txt
  8. stop_times.txt
  9. stops.txt
  10. transfers.txt
  11. trips.txt

Counts

  • Agencies: 1
  • Blocks: 39
  • Routes: 18
  • Shapes: 175
  • Stops: 371
  • Trips: 4404

Specification Compliance report

22409 notices reported (0 errors, 22408 warnings, 1 infos)

Notice Code Severity Total
equal_shape_distance_same_coordinates WARNING 2660

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 2660 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`.
"5341_shp" 3260 3675.255503 15 3259 3675.255503 14
"5341_shp" 3264 4314.81666 19 3263 4314.81666 18
"5341_shp" 3270 5112.112217 25 3269 5112.112217 24
"5341_shp" 3272 5905.578201 27 3271 5905.578201 26
"5341_shp" 3276 6965.844882 31 3275 6965.844882 30
"5341_shp" 3279 7612.730258 34 3278 7612.730258 33
"5341_shp" 3283 8509.628516 38 3282 8509.628516 37
"5341_shp" 3285 9403.203911 40 3284 9403.203911 39
"5341_shp" 3288 10024.454489 43 3287 10024.454489 42
"5341_shp" 3293 12336.69867 48 3292 12336.69867 47
"5341_shp" 3305 14181.368154 60 3304 14181.368154 59
"5341_shp" 3316 17241.938118 71 3315 17241.938118 70
"5341_shp" 3318 17881.158211 73 3317 17881.158211 72
"5341_shp" 3322 18693.827875 77 3321 18693.827875 76
"5341_shp" 3324 19458.180477 79 3323 19458.180477 78
"5341_shp" 3326 20586.993527 81 3325 20586.993527 80
"5341_shp" 3331 22109.967866 86 3330 22109.967866 85
"5341_shp" 3333 22969.020162 88 3332 22969.020162 87
"5341_shp" 3335 25043.169125 90 3334 25043.169125 89
"5341_shp" 3337 26437.727672 92 3336 26437.727672 91
"5341_shp" 3339 27741.112831 94 3338 27741.112831 93
"5341_shp" 3350 32819.171162 105 3349 32819.171162 104
"5341_shp" 3353 34100.625151 108 3352 34100.625151 107
"5341_shp" 3355 34902.558979 110 3354 34902.558979 109
"5341_shp" 3360 36449.551396 115 3359 36449.551396 114
"5341_shp" 3362 37552.17809 117 3361 37552.17809 116
"5341_shp" 3365 38449.463357 120 3364 38449.463357 119
"5341_shp" 3371 39507.059032 126 3370 39507.059032 125
"5341_shp" 3373 40153.130411 128 3372 40153.130411 127
"5341_shp" 3379 41164.588955 134 3378 41164.588955 133
"5341_shp" 3382 41598.018457 137 3381 41598.018457 136
"5341_shp" 3385 42487.663809 140 3384 42487.663809 139
"5341_shp" 3391 44635.933018 146 3390 44635.933018 145
"5341_shp" 3393 45594.896593 148 3392 45594.896593 147
"5341_shp" 3400 51588.246313 155 3399 51588.246313 154
"5341_shp" 3407 53259.506899 162 3406 53259.506899 161
"5341_shp" 3412 53695.463526 167 3411 53695.463526 166
"5341_shp" 3422 55624.095977 177 3421 55624.095977 176
"5341_shp" 3426 57626.991511 181 3425 57626.991511 180
"5341_shp" 3432 60593.455173 187 3431 60593.455173 186
"5341_shp" 3434 60965.250861 189 3433 60965.250861 188
"5341_shp" 3443 62282.389176 198 3442 62282.389176 197
"5341_shp" 3444 62282.389176 199 3443 62282.389176 198
"5287_shp" 2244 1055.462701 7 2243 1055.462701 6
"5287_shp" 2250 2050.383232 13 2249 2050.383232 12
"5287_shp" 2263 4117.067418 26 2262 4117.067418 25
"5287_shp" 2269 5180.356082 32 2268 5180.356082 31
"5287_shp" 2288 12401.043914 51 2287 12401.043914 50
"5287_shp" 2291 13944.298256 54 2290 13944.298256 53
"5287_shp" 2296 15362.271258 59 2295 15362.271258 58
fast_travel_between_consecutive_stops WARNING 18629

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 18629 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.
3791 "t529-b13-sl3A" "70" 445.74490618094694 0.12381802949470748 33895 0 "163" "Walmart - Inbound" "13:21:00" 33896 1 "164" "Ross/Bed Bath & Beyond" "13:21:01"
3613 "t529-b23-sl37" "70" 445.74490618094694 0.12381802949470748 33975 0 "163" "Walmart - Inbound" "13:21:00" 33976 1 "164" "Ross/Bed Bath & Beyond" "13:21:01"
3705 "t529-b23-sl39" "70" 445.74490618094694 0.12381802949470748 34015 0 "163" "Walmart - Inbound" "13:21:00" 34016 1 "164" "Ross/Bed Bath & Beyond" "13:21:01"
3521 "t529-b23-sl36" "70" 445.74490618094694 0.12381802949470748 33935 0 "163" "Walmart - Inbound" "13:21:00" 33936 1 "164" "Ross/Bed Bath & Beyond" "13:21:01"
3791 "t529-b13-sl3A" "70" 1061.902496505261 0.29497291569590584 33899 180 "332" "E College Ave opp Nittany Commons" "13:24:00" 33900 181 "809" "East College Ave at Citi Clean" "13:24:01"
3613 "t529-b23-sl37" "70" 1061.902496505261 0.29497291569590584 33979 180 "332" "E College Ave opp Nittany Commons" "13:24:00" 33980 181 "809" "East College Ave at Citi Clean" "13:24:01"
3705 "t529-b23-sl39" "70" 1061.902496505261 0.29497291569590584 34019 180 "332" "E College Ave opp Nittany Commons" "13:24:00" 34020 181 "809" "East College Ave at Citi Clean" "13:24:01"
3521 "t529-b23-sl36" "70" 1061.902496505261 0.29497291569590584 33939 180 "332" "E College Ave opp Nittany Commons" "13:24:00" 33940 181 "809" "East College Ave at Citi Clean" "13:24:01"
3791 "t529-b13-sl3A" "70" 888.0471612665136 0.246679767018476 33901 300 "334" "Pike St at Limerock Terrace Inbound" "13:26:00" 33902 301 "336" "Pike St at Hickory Lane Inbound" "13:26:01"
3613 "t529-b23-sl37" "70" 888.0471612665136 0.246679767018476 33981 300 "334" "Pike St at Limerock Terrace Inbound" "13:26:00" 33982 301 "336" "Pike St at Hickory Lane Inbound" "13:26:01"
3705 "t529-b23-sl39" "70" 888.0471612665136 0.246679767018476 34021 300 "334" "Pike St at Limerock Terrace Inbound" "13:26:00" 34022 301 "336" "Pike St at Hickory Lane Inbound" "13:26:01"
3521 "t529-b23-sl36" "70" 888.0471612665136 0.246679767018476 33941 300 "334" "Pike St at Limerock Terrace Inbound" "13:26:00" 33942 301 "336" "Pike St at Hickory Lane Inbound" "13:26:01"
3791 "t529-b13-sl3A" "70" 545.2777843369848 0.151466051204718 33902 301 "336" "Pike St at Hickory Lane Inbound" "13:26:01" 33903 302 "338" "542 Pike St" "13:26:02"
3613 "t529-b23-sl37" "70" 545.2777843369848 0.151466051204718 33982 301 "336" "Pike St at Hickory Lane Inbound" "13:26:01" 33983 302 "338" "542 Pike St" "13:26:02"
3705 "t529-b23-sl39" "70" 545.2777843369848 0.151466051204718 34022 301 "336" "Pike St at Hickory Lane Inbound" "13:26:01" 34023 302 "338" "542 Pike St" "13:26:02"
3521 "t529-b23-sl36" "70" 545.2777843369848 0.151466051204718 33942 301 "336" "Pike St at Hickory Lane Inbound" "13:26:01" 33943 302 "338" "542 Pike St" "13:26:02"
3791 "t529-b13-sl3A" "70" 621.8352255321536 0.17273200709226488 33904 360 "341" "Pike St at Dale St Inbound" "13:27:00" 33905 361 "342" "Pike St at Mary St Inbound" "13:27:01"
3613 "t529-b23-sl37" "70" 621.8352255321536 0.17273200709226488 33984 360 "341" "Pike St at Dale St Inbound" "13:27:00" 33985 361 "342" "Pike St at Mary St Inbound" "13:27:01"
3705 "t529-b23-sl39" "70" 621.8352255321536 0.17273200709226488 34024 360 "341" "Pike St at Dale St Inbound" "13:27:00" 34025 361 "342" "Pike St at Mary St Inbound" "13:27:01"
3521 "t529-b23-sl36" "70" 621.8352255321536 0.17273200709226488 33944 360 "341" "Pike St at Dale St Inbound" "13:27:00" 33945 361 "342" "Pike St at Mary St Inbound" "13:27:01"
3791 "t529-b13-sl3A" "70" 753.9485986065736 0.20943016627960376 33906 420 "344" "Elmwood St at Elm St" "13:28:00" 33907 421 "347" "Elmwood St at Hillview Ave" "13:28:01"
3613 "t529-b23-sl37" "70" 753.9485986065736 0.20943016627960376 33986 420 "344" "Elmwood St at Elm St" "13:28:00" 33987 421 "347" "Elmwood St at Hillview Ave" "13:28:01"
3705 "t529-b23-sl39" "70" 753.9485986065736 0.20943016627960376 34026 420 "344" "Elmwood St at Elm St" "13:28:00" 34027 421 "347" "Elmwood St at Hillview Ave" "13:28:01"
3521 "t529-b23-sl36" "70" 753.9485986065736 0.20943016627960376 33946 420 "344" "Elmwood St at Elm St" "13:28:00" 33947 421 "347" "Elmwood St at Hillview Ave" "13:28:01"
3791 "t529-b13-sl3A" "70" 1333.8774800320473 0.3705215222311242 33908 480 "349" "201 Elmwood St" "13:29:00" 33909 481 "169" "E College Av at Hickeys" "13:29:01"
3613 "t529-b23-sl37" "70" 1333.8774800320473 0.3705215222311242 33988 480 "349" "201 Elmwood St" "13:29:00" 33989 481 "169" "E College Av at Hickeys" "13:29:01"
3705 "t529-b23-sl39" "70" 1333.8774800320473 0.3705215222311242 34028 480 "349" "201 Elmwood St" "13:29:00" 34029 481 "169" "E College Av at Hickeys" "13:29:01"
3521 "t529-b23-sl36" "70" 1333.8774800320473 0.3705215222311242 33948 480 "349" "201 Elmwood St" "13:29:00" 33949 481 "169" "E College Av at Hickeys" "13:29:01"
3791 "t529-b13-sl3A" "70" 1001.7991732631644 0.2782775481286568 33915 900 "288" "W College Ave at N Sparks St" "13:36:00" 33916 901 "290" "W College Ave at N Butz St" "13:36:01"
3613 "t529-b23-sl37" "70" 1001.7991732631644 0.2782775481286568 33995 900 "288" "W College Ave at N Sparks St" "13:36:00" 33996 901 "290" "W College Ave at N Butz St" "13:36:01"
3705 "t529-b23-sl39" "70" 1001.7991732631644 0.2782775481286568 34035 900 "288" "W College Ave at N Sparks St" "13:36:00" 34036 901 "290" "W College Ave at N Butz St" "13:36:01"
3521 "t529-b23-sl36" "70" 1001.7991732631644 0.2782775481286568 33955 900 "288" "W College Ave at N Sparks St" "13:36:00" 33956 901 "290" "W College Ave at N Butz St" "13:36:01"
3791 "t529-b13-sl3A" "70" 815.187672003479 0.2264410200009664 33917 960 "292" "W College Ave near Corl St" "13:37:00" 33918 961 "294" "1445 W College Ave" "13:37:01"
3613 "t529-b23-sl37" "70" 815.187672003479 0.2264410200009664 33997 960 "292" "W College Ave near Corl St" "13:37:00" 33998 961 "294" "1445 W College Ave" "13:37:01"
3705 "t529-b23-sl39" "70" 815.187672003479 0.2264410200009664 34037 960 "292" "W College Ave near Corl St" "13:37:00" 34038 961 "294" "1445 W College Ave" "13:37:01"
3521 "t529-b23-sl36" "70" 815.187672003479 0.2264410200009664 33957 960 "292" "W College Ave near Corl St" "13:37:00" 33958 961 "294" "1445 W College Ave" "13:37:01"
3791 "t529-b13-sl3A" "70" 952.369661268628 0.26454712813017445 33919 1020 "296" "Opposite 1506 W College Ave" "13:38:00" 33920 1021 "848" "Blue Course Dr near West College Ave" "13:38:01"
3613 "t529-b23-sl37" "70" 952.369661268628 0.26454712813017445 33999 1020 "296" "Opposite 1506 W College Ave" "13:38:00" 34000 1021 "848" "Blue Course Dr near West College Ave" "13:38:01"
3705 "t529-b23-sl39" "70" 952.369661268628 0.26454712813017445 34039 1020 "296" "Opposite 1506 W College Ave" "13:38:00" 34040 1021 "848" "Blue Course Dr near West College Ave" "13:38:01"
3521 "t529-b23-sl36" "70" 952.369661268628 0.26454712813017445 33959 1020 "296" "Opposite 1506 W College Ave" "13:38:00" 33960 1021 "848" "Blue Course Dr near West College Ave" "13:38:01"
3791 "t529-b13-sl3A" "70" 759.179539870948 0.2108832055197078 33924 1320 "839" "Opposite 225 Science Park Rd (ARL Bldg)" "13:43:00" 33925 1321 "550" "Science Park Rd at Torron Group" "13:43:01"
3613 "t529-b23-sl37" "70" 759.179539870948 0.2108832055197078 34004 1320 "839" "Opposite 225 Science Park Rd (ARL Bldg)" "13:43:00" 34005 1321 "550" "Science Park Rd at Torron Group" "13:43:01"
3705 "t529-b23-sl39" "70" 759.179539870948 0.2108832055197078 34044 1320 "839" "Opposite 225 Science Park Rd (ARL Bldg)" "13:43:00" 34045 1321 "550" "Science Park Rd at Torron Group" "13:43:01"
3521 "t529-b23-sl36" "70" 759.179539870948 0.2108832055197078 33964 1320 "839" "Opposite 225 Science Park Rd (ARL Bldg)" "13:43:00" 33965 1321 "550" "Science Park Rd at Torron Group" "13:43:01"
3791 "t529-b13-sl3A" "70" 946.1547870948433 0.26282077419301203 33926 1380 "303" "2111 W College Ave" "13:44:00" 33927 1381 "538" "W College Ave at Holly Circle Outbound" "13:44:01"
3613 "t529-b23-sl37" "70" 946.1547870948433 0.26282077419301203 34006 1380 "303" "2111 W College Ave" "13:44:00" 34007 1381 "538" "W College Ave at Holly Circle Outbound" "13:44:01"
3705 "t529-b23-sl39" "70" 946.1547870948433 0.26282077419301203 34046 1380 "303" "2111 W College Ave" "13:44:00" 34047 1381 "538" "W College Ave at Holly Circle Outbound" "13:44:01"
3521 "t529-b23-sl36" "70" 946.1547870948433 0.26282077419301203 33966 1380 "303" "2111 W College Ave" "13:44:00" 33967 1381 "538" "W College Ave at Holly Circle Outbound" "13:44:01"
3791 "t529-b13-sl3A" "70" 945.209945465964 0.26255831818499 33928 1439 "306" "W College Ave at Chelsea Lane Outbound" "13:44:59" 33929 1440 "308" "W College Ave at Bristol Ave Outbound" "13:45:00"
3613 "t529-b23-sl37" "70" 945.209945465964 0.26255831818499 34008 1439 "306" "W College Ave at Chelsea Lane Outbound" "13:44:59" 34009 1440 "308" "W College Ave at Bristol Ave Outbound" "13:45:00"
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 "20260505" "20221210" "20260512"
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
mixed_case_recommended_field WARNING 646

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 646 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.
"trips.txt" "trip_headsign" "WHITE LOOP" 2843
"trips.txt" "trip_headsign" "WHITE LOOP" 2844
"trips.txt" "trip_headsign" "WHITE LOOP" 2845
"trips.txt" "trip_headsign" "WHITE LOOP" 2846
"trips.txt" "trip_headsign" "WHITE LOOP" 2847
"trips.txt" "trip_headsign" "WHITE LOOP" 2848
"trips.txt" "trip_headsign" "WHITE LOOP" 2849
"trips.txt" "trip_headsign" "WHITE LOOP" 2850
"trips.txt" "trip_headsign" "WHITE LOOP" 2851
"trips.txt" "trip_headsign" "WHITE LOOP" 2852
"trips.txt" "trip_headsign" "WHITE LOOP" 2853
"trips.txt" "trip_headsign" "WHITE LOOP" 2854
"trips.txt" "trip_headsign" "WHITE LOOP" 2855
"trips.txt" "trip_headsign" "WHITE LOOP" 2856
"trips.txt" "trip_headsign" "WHITE LOOP" 2857
"trips.txt" "trip_headsign" "WHITE LOOP" 2858
"trips.txt" "trip_headsign" "WHITE LOOP" 2859
"trips.txt" "trip_headsign" "WHITE LOOP" 2860
"trips.txt" "trip_headsign" "WHITE LOOP" 2861
"trips.txt" "trip_headsign" "WHITE LOOP" 2862
"trips.txt" "trip_headsign" "WHITE LOOP" 2863
"trips.txt" "trip_headsign" "WHITE LOOP" 2864
"trips.txt" "trip_headsign" "WHITE LOOP" 2865
"trips.txt" "trip_headsign" "WHITE LOOP" 2866
"trips.txt" "trip_headsign" "WHITE LOOP" 2867
"trips.txt" "trip_headsign" "WHITE LOOP" 2868
"trips.txt" "trip_headsign" "WHITE LOOP" 2869
"trips.txt" "trip_headsign" "WHITE LOOP" 2870
"trips.txt" "trip_headsign" "WHITE LOOP" 2871
"trips.txt" "trip_headsign" "WHITE LOOP" 2872
"trips.txt" "trip_headsign" "WHITE LOOP" 2873
"trips.txt" "trip_headsign" "WHITE LOOP" 2874
"trips.txt" "trip_headsign" "WHITE LOOP" 2875
"trips.txt" "trip_headsign" "WHITE LOOP" 2876
"trips.txt" "trip_headsign" "WHITE LOOP" 2877
"trips.txt" "trip_headsign" "WHITE LOOP" 2878
"trips.txt" "trip_headsign" "WHITE LOOP" 2879
"trips.txt" "trip_headsign" "WHITE LOOP" 2880
"trips.txt" "trip_headsign" "WHITE LOOP" 2881
"trips.txt" "trip_headsign" "WHITE LOOP" 2882
"trips.txt" "trip_headsign" "WHITE LOOP" 2883
"trips.txt" "trip_headsign" "WHITE LOOP" 2884
"trips.txt" "trip_headsign" "WHITE LOOP" 2885
"trips.txt" "trip_headsign" "WHITE LOOP" 2886
"trips.txt" "trip_headsign" "WHITE LOOP" 2887
"trips.txt" "trip_headsign" "WHITE LOOP" 2888
"trips.txt" "trip_headsign" "WHITE LOOP" 2889
"trips.txt" "trip_headsign" "WHITE LOOP" 2890
"trips.txt" "trip_headsign" "WHITE LOOP" 2891
"trips.txt" "trip_headsign" "WHITE LOOP" 2892
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`.
"25" 3 "NV" "NV"
"34" 6 "RP" "RP"
"72" 19 "H" "H"
route_short_name_too_long WARNING 2

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`.
"70" 17 "College Ave Co"
"71" 18 "Atherton Connec"
stop_too_far_from_shape_using_user_distance WARNING 466

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

You can see more about this notice here.

Only the first 50 of 466 affected records are displayed below.

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.
4234 "5579_shp" "t352-b26-sl36" 9937 "286" "Village at Penn State - Atrium Outbound" [40.823316583457135,-77.86898573027874] 422.6857655007202
4234 "5579_shp" "t352-b26-sl36" 9938 "272" "Presidents Dr at Varsity Lane Outbound" [40.82316645454297,-77.86961329358623] 697.8470470977325
4234 "5579_shp" "t352-b26-sl36" 9939 "820" "Presidents Dr at Tradition Dr" [40.82381224069559,-77.87215825061061] 672.701882225488
4234 "5579_shp" "t352-b26-sl36" 9940 "700" "Toftrees Avenue near Beaumanor Drive" [40.82422706731505,-77.8719341683762] 745.0361856608141
4234 "5579_shp" "t352-b26-sl36" 9941 "9" "801 Toftrees Avenue - The Station" [40.82599922664144,-77.87798634672708] 772.9343244790061
4234 "5579_shp" "t352-b26-sl36" 9942 "251" "850 Toftrees Avenue - The View" [40.8258473295361,-77.88046982371127] 411.17159587274864
4234 "5579_shp" "t352-b26-sl36" 9943 "701" "Toftrees Avenue near Alma Mater Drive" [40.8234479877149,-77.88580885981277] 549.3047139221873
4234 "5579_shp" "t352-b26-sl36" 9944 "756" "Woodledge Dr Outbound (To Toftrees)" [40.82340709993801,-77.8853280505592] 593.0574843488524
4234 "5579_shp" "t352-b26-sl36" 9945 "833" "Woodledge Dr opposite Woodledge Circle" [40.824566304786096,-77.88232133720388] 758.0790523014144
4234 "5579_shp" "t352-b26-sl36" 9946 "269" "Opposite 910 Cricklewood Dr" [40.82571215716016,-77.8805522314725] 778.4239416790361
4234 "5579_shp" "t352-b26-sl36" 9947 "267" "Cricklewood Dr at the American Ale House" [40.82649435531808,-77.88029498516038] 699.151419394833
4234 "5579_shp" "t352-b26-sl36" 9948 "265" "711 Cricklewood Dr" [40.82761435809754,-77.88115282096945] 551.4967078709427
4234 "5579_shp" "t352-b26-sl36" 9949 "264" "541 Cricklewood Dr" [40.82944392319417,-77.88073138023124] 676.286828662086
4234 "5579_shp" "t352-b26-sl36" 9950 "262" "Cricklewood Dr at Wilts Lane Outbound" [40.831097079331,-77.88198200796978] 840.8145446230515
4234 "5579_shp" "t352-b26-sl36" 9951 "260" "Cricklewood Dr at N Barkway Lane" [40.8320726322409,-77.88453246832007] 1002.631045763903
4234 "5579_shp" "t352-b26-sl36" 9952 "257" "359 Toftrees Ave (Parkgate Apartments)" [40.83011050539481,-77.88665739168067] 916.3315700980382
4234 "5579_shp" "t352-b26-sl36" 9953 "255" "301 Toftrees Ave" [40.82849389643679,-77.88860443356633] 882.5631847721253
4234 "5579_shp" "t352-b26-sl36" 9954 "253" "Opposite 240 Toftrees Ave" [40.827766459517875,-77.89046072705081] 864.0567770796267
4234 "5579_shp" "t352-b26-sl36" 9955 "761" "Colonnade Blvd at Kohls" [40.82192547998617,-77.90053907882546] 824.0541989263457
4234 "5579_shp" "t352-b26-sl36" 9956 "250" "Colonnade Blvd at Target/Dicks" [40.81880507007713,-77.9005964640929] 891.640810111277
4234 "5579_shp" "t352-b26-sl36" 9957 "476" "Colonnade Blvd at Wegmans" [40.81739779717413,-77.90000724377737] 944.0033960873747
4234 "5579_shp" "t352-b26-sl36" 9958 "499" "N Atherton St at Chick-Fil-A" [40.81529463199151,-77.90136228796995] 800.3088489802226
4234 "5579_shp" "t352-b26-sl36" 9959 "498" "1870 North Atherton Street" [40.8142453148628,-77.90317607613227] 596.3638142480136
4234 "5579_shp" "t352-b26-sl36" 9960 "853" "West Clearview Ave at Sheetz" [40.810681858491044,-77.90681831894608] 497.94264819034845
4234 "5579_shp" "t352-b26-sl36" 9961 "497" "Trader Joes Plaza" [40.81012353323089,-77.90789372800732] 483.10142425292184
141 "5538_shp" "t335-b1-sl3A" 7488 "497" "Trader Joes Plaza" [40.80869372887575,-77.90158003217509] 111.82479153188821
141 "5538_shp" "t335-b1-sl3A" 7489 "500" "N Atherton St at Colonnade Blvd" [40.80932916939503,-77.9036335994204] 325.6747504710121
141 "5538_shp" "t335-b1-sl3A" 7490 "475" "Colonnade Blvd at Chicos" [40.809228201535184,-77.90581634551077] 166.0427425191278
141 "5538_shp" "t335-b1-sl3A" 7491 "249" "Colonnade Blvd at Home Goods" [40.80946777573078,-77.90785257042276] 321.062033661551
4230 "5498_shp" "t2DA-b26-sl36" 3138 "853" "West Clearview Ave at Sheetz" [40.80859152863734,-77.90045324630947] 110.13886597829391
4366 "5577_shp" "t352-b16-sl3A" 9853 "286" "Village at Penn State - Atrium Outbound" [40.823316583457135,-77.86898573027874] 422.6857655007202
4366 "5577_shp" "t352-b16-sl3A" 9854 "272" "Presidents Dr at Varsity Lane Outbound" [40.82316645454297,-77.86961329358623] 697.8470470977325
4366 "5577_shp" "t352-b16-sl3A" 9855 "820" "Presidents Dr at Tradition Dr" [40.82381224069559,-77.87215825061061] 672.701882225488
4366 "5577_shp" "t352-b16-sl3A" 9856 "700" "Toftrees Avenue near Beaumanor Drive" [40.82422706731505,-77.8719341683762] 745.0361856608141
4366 "5577_shp" "t352-b16-sl3A" 9857 "9" "801 Toftrees Avenue - The Station" [40.82599922664144,-77.87798634672708] 772.9343244790061
4366 "5577_shp" "t352-b16-sl3A" 9858 "251" "850 Toftrees Avenue - The View" [40.8258473295361,-77.88046982371127] 411.17159587274864
4366 "5577_shp" "t352-b16-sl3A" 9859 "701" "Toftrees Avenue near Alma Mater Drive" [40.8234479877149,-77.88580885981277] 549.3047139221873
4366 "5577_shp" "t352-b16-sl3A" 9860 "756" "Woodledge Dr Outbound (To Toftrees)" [40.82340709993801,-77.8853280505592] 593.0574843488524
4366 "5577_shp" "t352-b16-sl3A" 9861 "833" "Woodledge Dr opposite Woodledge Circle" [40.824566304786096,-77.88232133720388] 758.0790523014144
4366 "5577_shp" "t352-b16-sl3A" 9862 "269" "Opposite 910 Cricklewood Dr" [40.82571215716016,-77.8805522314725] 778.4239416790361
4366 "5577_shp" "t352-b16-sl3A" 9863 "267" "Cricklewood Dr at the American Ale House" [40.82649435531808,-77.88029498516038] 699.151419394833
4366 "5577_shp" "t352-b16-sl3A" 9864 "265" "711 Cricklewood Dr" [40.82761435809754,-77.88115282096945] 551.4967078709427
4366 "5577_shp" "t352-b16-sl3A" 9865 "264" "541 Cricklewood Dr" [40.82944392319417,-77.88073138023124] 676.286828662086
4366 "5577_shp" "t352-b16-sl3A" 9866 "262" "Cricklewood Dr at Wilts Lane Outbound" [40.831097079331,-77.88198200796978] 840.8145446230515
4366 "5577_shp" "t352-b16-sl3A" 9867 "260" "Cricklewood Dr at N Barkway Lane" [40.8320726322409,-77.88453246832007] 1002.631045763903
4366 "5577_shp" "t352-b16-sl3A" 9868 "257" "359 Toftrees Ave (Parkgate Apartments)" [40.83011050539481,-77.88665739168067] 916.3315700980382
4366 "5577_shp" "t352-b16-sl3A" 9869 "255" "301 Toftrees Ave" [40.82849389643679,-77.88860443356633] 882.5631847721253
4366 "5577_shp" "t352-b16-sl3A" 9870 "253" "Opposite 240 Toftrees Ave" [40.827766459517875,-77.89046072705081] 864.0567770796267
4366 "5577_shp" "t352-b16-sl3A" 9871 "761" "Colonnade Blvd at Kohls" [40.82192547998617,-77.90053907882546] 824.0541989263457
4366 "5577_shp" "t352-b16-sl3A" 9872 "250" "Colonnade Blvd at Target/Dicks" [40.81880507007713,-77.9005964640929] 891.640810111277
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_name" 2