harare-kombis — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-17T19:11:57Z,
for the dataset file:///shared/harare-kombis_c77ad851.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
WhereIsMyTransport
Feed Email:
N/A
Feed Language:
English
Feed Start Date:
2017-09-20
Feed End Date:
2020-12-31

Files included


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

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 486
  • Shapes: 486
  • Stops: 2255
  • Trips: 972

Specification Compliance report

1381 notices reported (486 errors, 895 warnings, 0 infos)

Notice Code Severity Total
invalid_integer ERROR 486

invalid_integer

A field cannot be parsed as an integer.

You can see more about this notice here.

Only the first 50 of 486 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"fare_attributes.txt" 2 "transfers" "4294967295"
"fare_attributes.txt" 3 "transfers" "4294967295"
"fare_attributes.txt" 4 "transfers" "4294967295"
"fare_attributes.txt" 5 "transfers" "4294967295"
"fare_attributes.txt" 6 "transfers" "4294967295"
"fare_attributes.txt" 7 "transfers" "4294967295"
"fare_attributes.txt" 8 "transfers" "4294967295"
"fare_attributes.txt" 9 "transfers" "4294967295"
"fare_attributes.txt" 10 "transfers" "4294967295"
"fare_attributes.txt" 11 "transfers" "4294967295"
"fare_attributes.txt" 12 "transfers" "4294967295"
"fare_attributes.txt" 13 "transfers" "4294967295"
"fare_attributes.txt" 14 "transfers" "4294967295"
"fare_attributes.txt" 15 "transfers" "4294967295"
"fare_attributes.txt" 16 "transfers" "4294967295"
"fare_attributes.txt" 17 "transfers" "4294967295"
"fare_attributes.txt" 18 "transfers" "4294967295"
"fare_attributes.txt" 19 "transfers" "4294967295"
"fare_attributes.txt" 20 "transfers" "4294967295"
"fare_attributes.txt" 21 "transfers" "4294967295"
"fare_attributes.txt" 22 "transfers" "4294967295"
"fare_attributes.txt" 23 "transfers" "4294967295"
"fare_attributes.txt" 24 "transfers" "4294967295"
"fare_attributes.txt" 25 "transfers" "4294967295"
"fare_attributes.txt" 26 "transfers" "4294967295"
"fare_attributes.txt" 27 "transfers" "4294967295"
"fare_attributes.txt" 28 "transfers" "4294967295"
"fare_attributes.txt" 29 "transfers" "4294967295"
"fare_attributes.txt" 30 "transfers" "4294967295"
"fare_attributes.txt" 31 "transfers" "4294967295"
"fare_attributes.txt" 32 "transfers" "4294967295"
"fare_attributes.txt" 33 "transfers" "4294967295"
"fare_attributes.txt" 34 "transfers" "4294967295"
"fare_attributes.txt" 35 "transfers" "4294967295"
"fare_attributes.txt" 36 "transfers" "4294967295"
"fare_attributes.txt" 37 "transfers" "4294967295"
"fare_attributes.txt" 38 "transfers" "4294967295"
"fare_attributes.txt" 39 "transfers" "4294967295"
"fare_attributes.txt" 40 "transfers" "4294967295"
"fare_attributes.txt" 41 "transfers" "4294967295"
"fare_attributes.txt" 42 "transfers" "4294967295"
"fare_attributes.txt" 43 "transfers" "4294967295"
"fare_attributes.txt" 44 "transfers" "4294967295"
"fare_attributes.txt" 45 "transfers" "4294967295"
"fare_attributes.txt" 46 "transfers" "4294967295"
"fare_attributes.txt" 47 "transfers" "4294967295"
"fare_attributes.txt" 48 "transfers" "4294967295"
"fare_attributes.txt" 49 "transfers" "4294967295"
"fare_attributes.txt" 50 "transfers" "4294967295"
"fare_attributes.txt" 51 "transfers" "4294967295"
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 9

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.
"shape_0013" 2255 131.0 5 2254 131.0 4 0.6056816546186649
"shape_0382" 61999 12.0 5 61998 12.0 4 0.8075606836603122
"shape_0277" 42950 0.0 1 42949 0.0 0 0.2017941212418354
"shape_0295" 46139 0.0 1 46138 0.0 0 0.29277346973601137
"shape_0337" 54133 17119.0 207 54132 17119.0 206 0.6362634729951661
"shape_0345" 55320 3056.0 57 55319 3056.0 56 0.46982419191399477
"shape_0347" 55722 20644.0 234 55721 20644.0 233 0.2927737466399052
"shape_0482" 76676 709.0 14 76675 709.0 13 0.21208782079510102
"shape_0372" 60091 28316.0 239 60090 28316.0 238 0.6056830501305005
equal_shape_distance_same_coordinates WARNING 259

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 259 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`.
"shape_0058" 10121 1863903.75 47 10120 1863903.75 46
"shape_0057" 10053 1858483.75 83 10052 1858483.75 82
"shape_0059" 10129 362.0 7 10128 362.0 6
"shape_0060" 10334 1913789.875 12 10333 1913789.875 11
"shape_0065" 10997 510.0 11 10996 510.0 10
"shape_0186" 29376 1598.0 27 29375 1598.0 26
"shape_0064" 10977 16491.0 120 10976 16491.0 119
"shape_0064" 10982 16906.0 125 10981 16906.0 124
"shape_0069" 11417 2662.0 29 11416 2662.0 28
"shape_0068" 11327 2149315.5 1 11326 2149315.5 0
"shape_0191" 30123 13195.0 171 30122 13195.0 170
"shape_0072" 11844 7222.0 52 11843 7222.0 51
"shape_0194" 30463 0.0 1 30462 0.0 0
"shape_0076" 12401 5064.0 51 12400 5064.0 50
"shape_0197" 30949 747.0 14 30948 747.0 13
"shape_0197" 31056 13207.0 121 31055 13207.0 120
"shape_0199" 31216 310.0 5 31215 310.0 4
"shape_0077" 12465 1452.0 17 12464 1452.0 16
"shape_0198" 31210 14643.0 147 31209 14643.0 146
"shape_0082" 13318 8919.0 97 13317 8919.0 96
"shape_0085" 13890 2530359.25 114 13889 2530359.25 113
"shape_0088" 14085 2606518.75 2 14084 2606518.75 1
"shape_0093" 14920 20439.0 208 14919 20439.0 207
"shape_0096" 15277 2072.0 29 15276 2072.0 28
"shape_0135" 22037 19455.0 162 22036 19455.0 161
"shape_0377" 61334 17463.0 303 61333 17463.0 302
"shape_0013" 2294 4817.0 44 2293 4817.0 43
"shape_0013" 2313 7799.0 63 2312 7799.0 62
"shape_0376" 60882 2086.0 30 60881 2086.0 29
"shape_0376" 60888 2604.0 36 60887 2604.0 35
"shape_0258" 39884 0.0 1 39883 0.0 0
"shape_0379" 61474 1.1129041E7 12 61473 1.1129041E7 11
"shape_0379" 61622 1.114596E7 160 61621 1.114596E7 159
"shape_0379" 61628 1.1146097E7 166 61627 1.1146097E7 165
"shape_0136" 22116 9628.0 69 22115 9628.0 68
"shape_0136" 22153 12678.0 106 22152 12678.0 105
"shape_0378" 61336 0.0 1 61335 0.0 0
"shape_0017" 2945 11730.0 161 2944 11730.0 160
"shape_0138" 22431 2427.0 21 22430 2427.0 20
"shape_0380" 61637 144.0 8 61636 144.0 7
"shape_0382" 62020 1246.0 26 62019 1246.0 25
"shape_0260" 40159 6511.0 80 40158 6511.0 79
"shape_0381" 61983 14805.0 171 61982 14805.0 170
"shape_0383" 62092 3106.0 47 62091 3106.0 46
"shape_0143" 23242 13294.0 131 23241 13294.0 130
"shape_0264" 40503 102.0 5 40502 102.0 4
"shape_0385" 62407 766.0 7 62406 766.0 6
"shape_0385" 62457 4911.0 57 62456 4911.0 56
"shape_0385" 62460 5389.0 60 62459 5389.0 59
"shape_0385" 62466 5789.0 66 62465 5789.0 65
expired_calendar WARNING 2

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 "service_0001"
3 "service_0002"
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 "20260417" "20201231" "20260424"
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 2

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" "ZANU PF headquarters" 1205
"stops.txt" "stop_name" "DC campus" 1328
route_color_contrast WARNING 134

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.

Only the first 50 of 134 affected records are displayed below.

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.
"route_0001" 2 "#4A04C9" "#000000"
"route_0003" 4 "#6504C9" "#000000"
"route_0007" 8 "#4704C9" "#000000"
"route_0009" 10 "#C90417" "#000000"
"route_0010" 11 "#5304C9" "#000000"
"route_0017" 18 "#0B04C9" "#000000"
"route_0019" 20 "#2F04C9" "#000000"
"route_0024" 25 "#C9042A" "#000000"
"route_0026" 27 "#C9044E" "#000000"
"route_0031" 32 "#9D04C9" "#000000"
"route_0032" 33 "#0442C9" "#000000"
"route_0035" 36 "#0414C9" "#000000"
"route_0039" 40 "#C90419" "#000000"
"route_0041" 42 "#0442C9" "#000000"
"route_0042" 43 "#2C04C9" "#000000"
"route_0046" 47 "#9604C9" "#000000"
"route_0058" 59 "#C9044D" "#000000"
"route_0063" 64 "#0445C9" "#000000"
"route_0064" 65 "#9104C9" "#000000"
"route_0072" 73 "#5F04C9" "#000000"
"route_0073" 74 "#040CC9" "#000000"
"route_0083" 84 "#3A04C9" "#000000"
"route_0089" 90 "#0E04C9" "#000000"
"route_0091" 92 "#5B04C9" "#000000"
"route_0092" 93 "#3604C9" "#000000"
"route_0093" 94 "#5204C9" "#000000"
"route_0094" 95 "#C91004" "#000000"
"route_0096" 97 "#0430C9" "#000000"
"route_0097" 98 "#C90C04" "#000000"
"route_0100" 101 "#6404C9" "#000000"
"route_0101" 102 "#9104C9" "#000000"
"route_0105" 106 "#6204C9" "#000000"
"route_0112" 113 "#040AC9" "#000000"
"route_0115" 116 "#7C04C9" "#000000"
"route_0118" 119 "#6104C9" "#000000"
"route_0128" 129 "#0429C9" "#000000"
"route_0129" 130 "#C90437" "#000000"
"route_0133" 134 "#C90425" "#000000"
"route_0138" 139 "#0426C9" "#000000"
"route_0139" 140 "#0406C9" "#000000"
"route_0140" 141 "#5F04C9" "#000000"
"route_0141" 142 "#5F04C9" "#000000"
"route_0142" 143 "#5B04C9" "#000000"
"route_0143" 144 "#C90404" "#000000"
"route_0144" 145 "#2904C9" "#000000"
"route_0145" 146 "#4604C9" "#000000"
"route_0148" 149 "#C9041A" "#000000"
"route_0149" 150 "#C90412" "#000000"
"route_0150" 151 "#0433C9" "#000000"
"route_0153" 154 "#7A04C9" "#000000"
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.
"20260417" "20180603" "20190703"
unexpected_enum_value WARNING 486

unexpected_enum_value

An enum has an unexpected value.

You can see more about this notice here.

Only the first 50 of 486 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row number of the faulty record. fieldName (?) The name of the field where the error occurred. fieldValue (?) Faulty value.
"routes.txt" 2 "route_type" 1501
"routes.txt" 3 "route_type" 1501
"routes.txt" 4 "route_type" 1501
"routes.txt" 5 "route_type" 1501
"routes.txt" 6 "route_type" 1501
"routes.txt" 7 "route_type" 1501
"routes.txt" 8 "route_type" 1501
"routes.txt" 9 "route_type" 1501
"routes.txt" 10 "route_type" 1501
"routes.txt" 11 "route_type" 1501
"routes.txt" 12 "route_type" 1501
"routes.txt" 13 "route_type" 1501
"routes.txt" 14 "route_type" 1501
"routes.txt" 15 "route_type" 1501
"routes.txt" 16 "route_type" 1501
"routes.txt" 17 "route_type" 1501
"routes.txt" 18 "route_type" 1501
"routes.txt" 19 "route_type" 1501
"routes.txt" 20 "route_type" 1501
"routes.txt" 21 "route_type" 1501
"routes.txt" 22 "route_type" 1501
"routes.txt" 23 "route_type" 1501
"routes.txt" 24 "route_type" 1501
"routes.txt" 25 "route_type" 1501
"routes.txt" 26 "route_type" 1501
"routes.txt" 27 "route_type" 1501
"routes.txt" 28 "route_type" 1501
"routes.txt" 29 "route_type" 1501
"routes.txt" 30 "route_type" 1501
"routes.txt" 31 "route_type" 1501
"routes.txt" 32 "route_type" 1501
"routes.txt" 33 "route_type" 1501
"routes.txt" 34 "route_type" 1501
"routes.txt" 35 "route_type" 1501
"routes.txt" 36 "route_type" 1501
"routes.txt" 37 "route_type" 1501
"routes.txt" 38 "route_type" 1501
"routes.txt" 39 "route_type" 1501
"routes.txt" 40 "route_type" 1501
"routes.txt" 41 "route_type" 1501
"routes.txt" 42 "route_type" 1501
"routes.txt" 43 "route_type" 1501
"routes.txt" 44 "route_type" 1501
"routes.txt" 45 "route_type" 1501
"routes.txt" 46 "route_type" 1501
"routes.txt" 47 "route_type" 1501
"routes.txt" 48 "route_type" 1501
"routes.txt" 49 "route_type" 1501
"routes.txt" 50 "route_type" 1501
"routes.txt" 51 "route_type" 1501