emel-limassol — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-04-24T03:43:48Z,
for the dataset file:///shared/emel-limassol_41f1fe37.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
Ministry of Transport Communication and Works
Publisher URL:
http://www.mcw.gov.cy/
Feed Email:
N/A
Feed Language:
English

Files included


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

Counts


  • Agencies: 1
  • Blocks: 0
  • Routes: 248
  • Shapes: 178
  • Stops: 1395
  • Trips: 5820

Specification Compliance report

4135 notices reported (1 errors, 4134 warnings, 0 infos)

Notice Code Severity Total
duplicate_key ERROR 1

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

filename (?) The name of the faulty file oldCsvRowNumber (?) The row of the first occurrence. newCsvRowNumber (?) The row of the other occurrence. fieldName1 (?) Composite key's first field name. fieldValue1 (?) Composite key's first value.
"fare_attributes.txt" 2 3 "fare_id" "211"
duplicate_route_name WARNING 4

duplicate_route_name

Two distinct routes have either the same route_short_name, the same route_long_name, or the same combination of route_short_name and route_long_name.

All routes of the same route_type with the same agency_id should have unique combinations of route_short_name and route_long_name.

Note that there may be valid cases where routes have the same short and long name, e.g., if they serve different areas. However, different directions must be modeled as the same route.

Example of bad data:

route_id route_short_name route_long_name
route1 U1 Southern
route2 U1 Southern

You can see more about this notice here.

csvRowNumber1 (?) The row number of the first occurrence. routeId1 (?) The id of the the first occurrence. csvRowNumber2 (?) The row number of the other occurrence. routeId2 (?) The id of the the other occurrence. routeShortName (?) Common `routes.route_short_name`. routeLongName (?) Common `routes.route_long_name`. routeTypeValue (?) Common `routes.route_type`. agencyId (?) Common `routes.agency_id`.
111 "15080021" 112 "15080022" "25A" "Armenochori - Linopetra High School & Lyceum - Leontiou EMEL Station" 3 "6"
118 "15110012" 119 "15110021" "90A" "Pentakomo - Moni - Lemesos" 3 "6"
117 "15110011" 120 "15110022" "90A" "Lemesos - Moni - Pentakomo" 3 "6"
157 "15350011" 159 "15350021" "50H" "Agios Theodoros - Zoopigi - Kalo Chorio" 3 "6"
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 3

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.
"feed_info.txt" 2 "feed_start_date"
"feed_info.txt" 2 "feed_end_date"
"feed_info.txt" 2 "feed_version"
mixed_case_recommended_field WARNING 4105

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 4105 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.
"routes.txt" "route_short_name" "62AA" 232
"routes.txt" "route_short_name" "62AA" 233
"stops.txt" "stop_name" "MY MALL" 750
"trips.txt" "trip_headsign" "PARKLANE HOTEL" 6
"trips.txt" "trip_headsign" "MY MALL" 7
"trips.txt" "trip_headsign" "PARKLANE HOTEL" 8
"trips.txt" "trip_headsign" "MY MALL" 9
"trips.txt" "trip_headsign" "PARKLANE HOTEL" 10
"trips.txt" "trip_headsign" "MY MALL" 11
"trips.txt" "trip_headsign" "PARKLANE HOTEL" 12
"trips.txt" "trip_headsign" "MY MALL" 13
"trips.txt" "trip_headsign" "HOUSE FIN. AGENCY" 14
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 15
"trips.txt" "trip_headsign" "HOUSE FIN. AGENCY" 16
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 17
"trips.txt" "trip_headsign" "HOUSE FIN. AGENCY" 18
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 19
"trips.txt" "trip_headsign" "HOUSE FIN. AGENCY" 20
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 21
"trips.txt" "trip_headsign" "HOUSE FIN. AGENCY" 22
"trips.txt" "trip_headsign" "PARKLANE HOTEL" 23
"trips.txt" "trip_headsign" "MY MALL" 24
"trips.txt" "trip_headsign" "PARKLANE HOTEL" 25
"trips.txt" "trip_headsign" "MY MALL" 26
"trips.txt" "trip_headsign" "PARKLANE HOTEL" 27
"trips.txt" "trip_headsign" "MY MALL" 28
"trips.txt" "trip_headsign" "PARKLANE HOTEL" 29
"trips.txt" "trip_headsign" "MY MALL" 30
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 32
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 34
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 36
"trips.txt" "trip_headsign" "PARKLANE HOTEL" 38
"trips.txt" "trip_headsign" "MY MALL" 39
"trips.txt" "trip_headsign" "PARKLANE HOTEL" 40
"trips.txt" "trip_headsign" "MY MALL" 41
"trips.txt" "trip_headsign" "PARKLANE HOTEL" 42
"trips.txt" "trip_headsign" "MY MALL" 43
"trips.txt" "trip_headsign" "AGIOS ATHANASIOS" 44
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 45
"trips.txt" "trip_headsign" "AGIOS ATHANASIOS" 46
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 47
"trips.txt" "trip_headsign" "AGIOS ATHANASIOS" 48
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 49
"trips.txt" "trip_headsign" "AGIOS ATHANASIOS" 50
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 51
"trips.txt" "trip_headsign" "GENERAL HOSPITAL" 52
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 53
"trips.txt" "trip_headsign" "GENERAL HOSPITAL" 54
"trips.txt" "trip_headsign" "LEONTIOU EMEL ST." 55
"trips.txt" "trip_headsign" "GENERAL HOSPITAL" 56
route_color_contrast WARNING 2

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.
"15560011" 200 "#C0C0C0" "#FFFFFF"
"15560012" 201 "#C0C0C0" "#FFFFFF"
same_name_and_description_for_stop WARNING 19

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`.
32 "5162" "Patron"
64 "4671" "Mpagiazit"
195 "4404" "Apliki"
226 "7924" "Garrison"
409 "7572" "Dierona"
451 "4663" "Enoseos"
543 "7712" "Anogyra"
736 "7877" "Doros"
738 "7686" "Kouka"
749 "7648" "Agridia"
809 "7621" "Potamiou"
847 "7717" "Akapnou"
854 "7722" "Vikla"
938 "7573" "Dora"
993 "5443" "Papoutsa"
1061 "5397" "Pentakomo"
1249 "4675" "Sokratous"
1255 "7878" "Laneia"
1328 "7651" "Lofou"