GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T23:59:46Z,
for the dataset file:///shared/accra.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
OpenStreetMap Ghana
Publisher URL:
https://osmghana.org
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2019-03-04
Feed End Date:
2020-01-31

Files included

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

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 277
  • Shapes: 554
  • Stops: 4171
  • Trips: 554

Specification Compliance report

11825 notices reported (0 errors, 11825 warnings, 0 infos)

Notice Code Severity Total
expired_calendar WARNING 1

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 "0"
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 "20251212" "20200131" "20251219"
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 11336

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 11336 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 "344" 1
3 "344" 2
4 "344" 3
5 "344" 4
6 "344" 5
7 "344" 6
8 "344" 7
9 "344" 8
10 "344" 9
11 "344" 10
12 "344" 11
13 "344" 12
14 "344" 13
15 "344" 14
16 "344" 15
17 "344" 16
18 "344" 17
19 "344" 18
20 "344" 19
21 "344" 20
22 "344" 21
23 "344" 22
24 "344" 23
25 "344" 24
26 "0" 1
27 "0" 2
28 "0" 3
29 "0" 4
30 "0" 5
31 "0" 6
32 "0" 7
33 "0" 8
34 "0" 9
35 "0" 10
36 "0" 11
37 "346" 1
38 "346" 2
39 "346" 3
40 "346" 4
41 "346" 5
42 "346" 6
43 "346" 7
44 "346" 8
45 "346" 9
46 "346" 10
47 "346" 11
48 "346" 12
49 "346" 13
50 "346" 14
51 "346" 15
mixed_case_recommended_field WARNING 11

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.

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" "2nd curve" 261
"stops.txt" "stop_name" "1st curve" 270
"stops.txt" "stop_name" "1 plus 1" 352
"stops.txt" "stop_name" "1 plus 1" 625
"stops.txt" "stop_name" "washing bay" 640
"stops.txt" "stop_name" "1st curve" 667
"stops.txt" "stop_name" "2nd curve" 670
"stops.txt" "stop_name" "washing bay" 771
"stops.txt" "stop_name" "1 plus 1" 935
"stops.txt" "stop_name" "1st stop" 1639
"stops.txt" "stop_name" "1st stop" 3709
stop_too_far_from_shape WARNING 455

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.

Only the first 50 of 455 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.
16 "7477507" "294" 270 "4981090364" "Legon Barrier" [5.642688700000001,-0.2031355] 590.7619784405028
16 "7477507" "294" 271 "5035697845" "18" [5.642688700000001,-0.2031355] 910.2727592073055
16 "7477507" "294" 272 "4981090363" "Ayido" [5.642688700000001,-0.2031355] 1063.2428022078286
16 "7477507" "294" 273 "4981090376" "Legon Primary School" [5.642688700000001,-0.2031355] 1459.700443132316
16 "7477507" "294" 274 "5028660324" "Okponglo Roundabout" [5.642688700000001,-0.2031355] 2159.623855102853
16 "7477507" "294" 275 "4981090372" "Legon Traffic Light" [5.642688700000001,-0.2031355] 2654.013570289795
16 "7477507" "294" 276 "4981090374" "Okponglo" [5.642688700000001,-0.2031355] 2777.6242098347307
16 "7477507" "294" 277 "4981090380" "Legon First" [5.642688700000001,-0.2031355] 2705.7029597216283
16 "7477507" "294" 278 "5035697844" "Legon police station" [5.642688700000001,-0.2031355] 2768.3961538329277
16 "7477507" "294" 279 "5038307541" "Legon" [5.642688700000001,-0.2031355] 2834.5011755200258
361 "7502901" "389" 7251 "4184924289" "Paloma" [5.5733135,-0.20064989999999996] 596.074816739602
361 "7502901" "389" 7252 "4997374739" "Equip" [5.5733135,-0.20064989999999996] 1083.6060954960449
361 "7502901" "389" 7253 "4990163125" "Circle Overhead" [5.5733135,-0.20064989999999996] 1518.0387624511043
361 "7502901" "389" 7254 "5005192353" "Commercial Bank" [5.5733135,-0.20064989999999996] 1711.7400782573907
361 "7502901" "389" 7255 "5040173329" "PTC" [5.5733135,-0.20064989999999996] 1719.33930319601
361 "7502901" "389" 7256 "5033299216" "Curve" [5.5733135,-0.20064989999999996] 1866.914521463744
361 "7502901" "389" 7257 "3109289830" "Odorna" [5.5733135,-0.20064989999999996] 1961.7004802319993
404 "7442512" "160" 8178 "4990070158" "Circle" [5.570053857161932,-0.21564815485632266] 127.6290175051559
176 "7463689" "378" 3403 "4997374740" "Nima Police Station" [5.573321605563687,-0.20060923879440976] 100.62233486323227
176 "7463689" "378" 3404 "4184924289" "Paloma" [5.573293600000001,-0.20073920000000003] 585.9485981065461
176 "7463689" "378" 3405 "4997374739" "Equip" [5.573293600000001,-0.20073920000000003] 1073.4788240958198
176 "7463689" "378" 3406 "4990163125" "Circle Overhead" [5.573293600000001,-0.20073920000000003] 1507.9123165821736
176 "7463689" "378" 3407 "5005192353" "Commercial Bank" [5.573293600000001,-0.20073920000000003] 1701.6716486428995
176 "7463689" "378" 3408 "3109289830" "Odorna" [5.573293600000001,-0.20073920000000003] 1951.6537216836125
8 "7472286" "342" 87 "4150793105" "Spanner" [5.623085100000001,-0.1766842] 287.62668059072945
8 "7472286" "342" 88 "5030747570" "Nyaho" [5.623085100000001,-0.1766842] 1310.9485495859158
8 "7472286" "342" 89 "5030747573" "Container First" [5.623085100000001,-0.1766842] 896.3718449943368
8 "7472286" "342" 90 "5030747561" "Jack and Jill" [5.623085100000001,-0.1766842] 2741.3066759044004
8 "7472286" "342" 91 "5030747560" "SGS" [5.623085100000001,-0.1766842] 2865.6926928686935
8 "7472286" "342" 92 "5030747559" "Frensho" [5.623085100000001,-0.1766842] 3002.964430027755
8 "7472286" "342" 93 "5030747558" "Power House" [5.623085100000001,-0.1766842] 3242.3794022292677
8 "7472286" "342" 94 "5030747557" "Accra Girls" [5.623085100000001,-0.1766842] 3368.9651849480388
8 "7472286" "342" 95 "5030747556" "Konka" [5.623085100000001,-0.1766842] 3570.1591156168383
8 "7472286" "342" 96 "5030747555" "Nima Overhead" [5.623085100000001,-0.1766842] 3789.700507602174
8 "7472286" "342" 97 "5028942311" "Maamobi" [5.623085100000001,-0.1766842] 4012.6285258335733
8 "7472286" "342" 98 "5028942310" "Mawarko" [5.623085100000001,-0.1766842] 4152.092686900573
8 "7472286" "342" 99 "5028942309" "Gutter" [5.623085100000001,-0.1766842] 4431.962520476774
8 "7472286" "342" 100 "5034539524" "Nima Roundabout" [5.623085100000001,-0.1766842] 5640.637566913038
8 "7472286" "342" 101 "5029644472" "Nima Mamobi" [5.623085100000001,-0.1766842] 5322.056367553955
532 "7476521" "43" 10906 "5037690457" "Bazaza" [5.5669344999999995,-0.23660379999999998] 566.7772790034395
532 "7476521" "43" 10907 "5037690448" "Ola Balm" [5.5669344999999995,-0.23660379999999998] 997.3090581206199
532 "7476521" "43" 10908 "5037690456" "Cemetry" [5.5669344999999995,-0.23660379999999998] 1169.06253627455
532 "7476521" "43" 10909 "5037690455" "Bubuashie" [5.5669344999999995,-0.23660379999999998] 1538.6945636130813
532 "7476521" "43" 10910 "5037690454" "Datus" [5.5669344999999995,-0.23660379999999998] 1807.9016864092243
532 "7476521" "43" 10911 "5037690453" "Vulcanizer" [5.5669344999999995,-0.23660379999999998] 1892.9696932177542
532 "7476521" "43" 10912 "5037690452" "Atico" [5.5669344999999995,-0.23660379999999998] 1836.4292990539554
300 "7563496" "547" 5572 "5093166185" "Zoti" [5.5469989,-0.2394364] 1235.9598233056442
300 "7563496" "547" 5573 "5013078304" "Mortuary" [5.5469989,-0.2394364] 1498.083416208563
300 "7563496" "547" 5574 "5013078303" "Junction" [5.5469989,-0.2394364] 2184.9911327401787
300 "7563496" "547" 5575 "5047423636" "Fire Service" [5.5469989,-0.2394364] 3105.621846331469
stops_match_shape_out_of_order WARNING 19

stops_match_shape_out_of_order

Two stop entries are different than their arrival-departure order defined by shapes.txt.

This could indicate a problem with the location of the stops, the path of the shape, or the sequence of the stops for their trip.

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. stopTimeCsvRowNumber1 (?) The row number of the first faulty record from `stop_times.txt`. stopId1 (?) The id of the first stop that is referred to. stopName1 (?) The name of the first stop that is referred to. match1 (?) Latitude and longitude pair of the first matching location. stopTimeCsvRowNumber2 (?) The row number of the second faulty record from `stop_times.txt`. stopId2 (?) The id of the second stop that is referred to. stopName2 (?) The name of the second stop that is referred to. match2 (?) Latitude and longitude pair of the second matching location.
41 "7483083" "279" 703 "5005343801" "Madina" [5.6767154,-0.1717981] 702 "5111502567" "Abase" [5.616539646321516,-0.20334028033521875]
318 "7574368" "415" 6149 "5058537032" "Circle" [5.569101841821602,-0.21720049416963877] 6148 "5028327330" "Circle Last Stop" [5.569118538023065,-0.21713365285726943]
9 "7472219" "343" 107 "4992783155" "Trasacco" [5.645123255405472,-0.11770861215787065] 106 "5007828435" "KICC" [5.654164853365273,-0.09532504049019391]
157 "7416050" "26" 3105 "4990252734" "Family Life" [5.622410275597828,-0.24846446924904314] 3104 "4286137016" "St. Johns" [5.638835395096222,-0.24245559740317002]
310 "7548979" "123" 5855 "5084413305" "Chabaar" [5.574738605390506,-0.2769712204329652] 5854 "5027365778" "Sakaman" [5.576323373141032,-0.2742584200448344]
453 "7495665" "54" 9114 "5037690454" "Datus" [5.582004977466659,-0.24268089993408537] 9113 "5049594495" "Fita" [5.5813661,-0.2389976]
178 "7466923" "370" 3426 "5026254414" "Masalaachi" [5.676481237306218,-0.1737872208704578] 3425 "4997374730" "Fire Stone" [5.670923813163283,-0.17567284519993995]
33 "7484459" "271" 547 "5026254414" "Masalaachi" [5.676481237306218,-0.1737872208704578] 546 "4997374730" "Fire Stone" [5.670923813163283,-0.17567284519993995]
10 "7518920" "348" 133 "4992783155" "Trasacco" [5.645123255405472,-0.11770861215787065] 132 "5007828435" "KICC" [5.654164853365273,-0.09532504049019391]
4 "7435456" "346" 47 "4992783155" "Trasacco" [5.645123255405472,-0.11770861215787065] 46 "5007828435" "KICC" [5.654164853365273,-0.09532504049019391]
47 "7453016" "521" 817 "4997374731" "Madina Zongo Junction" [5.677361616009332,-0.1735371130109216] 816 "4997374730" "Fire Stone" [5.670923813163283,-0.17567284519993995]
28 "7423604" "191" 490 "4998045791" "Kaneshie Takoradi Station" [5.564639092482004,-0.23680093584707537] 489 "5125132106" "Kaneshie" [5.564103599999999,-0.23591170000000009]
308 "7479893" "121" 5758 "5036738896" "Taxi Rank" [5.59212268052883,-0.20537097333684717] 5757 "5036738895" "Nkansah Gyan" [5.591136239200994,-0.20625705994106788]
27 "7422764" "196" 472 "4996742715" "Curve" [5.555276048690445,-0.2546772643701664] 471 "4996742714" "Russia Station" [5.554629748350176,-0.25461591774141923]
225 "7571303" "451" 4136 "5083477301" "Palledium" [5.541591096085257,-0.21546325379019535] 4135 "5041288969" "Timber Market" [5.543394776234357,-0.21618986885899985]
463 "7548047" "63" 9281 "5083477301" "Palledium" [5.541591096085257,-0.21546325379019535] 9280 "5041288969" "Timber Market" [5.543394776234357,-0.21618986885899985]
260 "7475274" "16" 4749 "4992783155" "Trasacco" [5.645123255405472,-0.11770861215787065] 4748 "5007828435" "KICC" [5.654164853365273,-0.09532504049019391]
264 "7584876" "322" 4829 "4992783155" "Trasacco" [5.645123255405472,-0.11770861215787065] 4828 "5007828435" "KICC" [5.654164853365273,-0.09532504049019391]
185 "7457668" "393" 3555 "5024042172" "Masalatsi" [5.582754427026584,-0.25164951027101323] 3554 "5024042173" "Darkuman Station" [5.589150277395236,-0.2513646219482349]
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.
"20251212" "20190304" "20200131"