GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-12T18:47:23Z,
for the dataset file:///shared/yaeyama-sightseeing.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
八重山観光フェリー（株）
Feed Email:
N/A
Feed Language:
Japanese
Feed Start Date:
2025-09-25
Feed End Date:
2026-02-28

Files included

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

Counts

  • Agencies: 1
  • Blocks: 0
  • Routes: 13
  • Shapes: 13
  • Stops: 7
  • Trips: 238

Specification Compliance report

522 notices reported (0 errors, 522 warnings, 0 infos)

Notice Code Severity Total
expired_calendar WARNING 5

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 "夏期1"
4 "冬期２"
5 "冬期追加１"
6 "冬期追加２"
7 "夏期２"
missing_bike_allowance WARNING 238

missing_bike_allowance

Ferry trips should include bike allowance information.

All ferry trips should have a valid value in the bikes_allowed field in trips.txt.

You can see more about this notice here.

Only the first 50 of 238 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record. routeId (?) The faulty record's route id. tripId (?) The faulty record's trip id.
2 "86" "2dd7179c336132db6a9b186f1a39ebaf"
3 "86" "f89a7194b776e4865c6c71ee0768ccaa"
4 "86" "19e36c7b468de58832718f53ceae24cc"
5 "86" "06f397e3c9cab26e118f33a409234a8d"
6 "86" "68bf365a64a8f16236721395e7fc25d7"
7 "86" "6c251d7ca50e34de5e33123f4197582a"
8 "86" "b3e14d5f062ef1912be9b20b3a760a4c"
9 "86" "8b9141998417cfe9d70383e4fdfc172f"
10 "86" "406dd81e424164a0dda6e9032002efa8"
11 "86" "1ca2624ba72ef3a8b74f96fe05a9c4a3"
12 "86" "dfc29359fe84273e5eb62151372ab749"
13 "86" "e720ff3881392f8cf000c7148a089c2a"
14 "86" "1e9197163f369aff0b6151530728d83d"
15 "86" "2586f7a16bf53f2282926dfcdef65d63"
16 "86" "a6ef754c25dc234e80b3bc5d10b33777"
17 "86" "9165fae5914b912b056c94b4bc0acbfc"
18 "86" "369aa0db6e63b91fcf2c4b308e26bf0c"
19 "86" "ad9a25a613beed6125d3718190d6d4ed"
20 "86" "f5b079fc84e3f2b3e37fe828f53a2e26"
21 "86" "2bb58b92a22594d9b13245bb54cffbb0"
22 "86" "3a89fd36c25736834fb951f4712545eb"
23 "86" "fc5367683013ab6f38b59525d02be80f"
24 "86" "38b21e4c1feb2167ac3c55ac37822068"
25 "86" "50c146159734a568a3dd391f2be44545"
26 "86" "ad976ef7d063b2e6933e5c1ddf90eeb1"
27 "86" "4d9700b85a370ebcd2898f22b4a7ac68"
28 "86" "853c7600a2e8bbe40af8a67bb0469db7"
29 "86" "24b8b447687b3c62d71dcc67d2adda5f"
30 "86" "6ffeeb6beb05b057704d7aac86d891c6"
31 "86" "a09bcb2c73e5011b152bc94050bedb39"
32 "86" "f9f2e622f456f9635186e2ac2aaa5e6a"
33 "86" "220d12a94a99992dbfacd44d2cbea09d"
34 "86" "f6a83468f9a3028443097d91f201b913"
35 "86" "d5d5347fe8f68663271622f2d141a8c1"
36 "86" "84ecd92ca85b8de2272b5ed020912105"
37 "86" "39ce17dbd79c9953924e0f1d5ded9699"
38 "86" "7684e08c0a6db0d2a5bd8db479387149"
39 "86" "7c3b064172e7561bb39576a83763c755"
40 "86" "cf21b152dbd801cd8fc73f30058f4aa3"
41 "86" "f1562208184c00475a5eb3981314b876"
42 "87" "0a827cdf26e124707730548c20004374"
43 "87" "47668535169fd91f78c2f1e36c0869a5"
44 "87" "e0dd1707fda18749a7722883b516536e"
45 "87" "6201ecb835fd3a78b262964de7b13aed"
46 "87" "e07fa9b18536e9a9ea12a2938d5b557d"
47 "87" "631c15d1e7439e393b8bc9e45ea43e38"
48 "87" "87c36dda92608d6893ccd0e17015a4db"
49 "87" "fde8bbf61cbb57930d9809047318dfb2"
50 "87" "d39c088790312e3034445465e343e76a"
51 "87" "009d88380ea463c9d61a59a3e0be4c8b"
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 20

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_version"
"fare_attributes.txt" 2 "agency_id"
"fare_attributes.txt" 3 "agency_id"
"fare_attributes.txt" 4 "agency_id"
"fare_attributes.txt" 5 "agency_id"
"fare_attributes.txt" 6 "agency_id"
"fare_attributes.txt" 7 "agency_id"
"fare_attributes.txt" 8 "agency_id"
"fare_attributes.txt" 9 "agency_id"
"fare_attributes.txt" 10 "agency_id"
"fare_attributes.txt" 11 "agency_id"
"fare_attributes.txt" 12 "agency_id"
"fare_attributes.txt" 13 "agency_id"
"fare_attributes.txt" 14 "agency_id"
"fare_attributes.txt" 15 "agency_id"
"fare_attributes.txt" 16 "agency_id"
"fare_attributes.txt" 17 "agency_id"
"fare_attributes.txt" 18 "agency_id"
"fare_attributes.txt" 19 "agency_id"
"fare_attributes.txt" 20 "agency_id"
mixed_case_recommended_field WARNING 13

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.
"routes.txt" "route_long_name" "石垣発-竹富行き" 2
"routes.txt" "route_long_name" "竹富発-石垣行き" 3
"routes.txt" "route_long_name" "石垣発-小浜行き" 4
"routes.txt" "route_long_name" "小浜発-石垣行き" 5
"routes.txt" "route_long_name" "石垣発-黒島行き" 6
"routes.txt" "route_long_name" "黒島発-石垣行き" 7
"routes.txt" "route_long_name" "石垣発-大原行き" 8
"routes.txt" "route_long_name" "大原発-石垣行き" 9
"routes.txt" "route_long_name" "大原発-竹富経由-石垣行き" 10
"routes.txt" "route_long_name" "石垣発-上原行き" 11
"routes.txt" "route_long_name" "石垣発-鳩間経由-上原行き" 12
"routes.txt" "route_long_name" "上原発-石垣行き" 13
"routes.txt" "route_long_name" "上原発-鳩間経由-石垣行き" 14
non_ascii_or_non_printable_char WARNING 244

non_ascii_or_non_printable_char

Non ascii or non printable char in ID field.

A value of a field with type ID contains non ASCII or non printable characters. This is not recommended.

You can see more about this notice here.

Only the first 50 of 244 affected records are displayed below.

filename (?) Name of the faulty file. csvRowNumber (?) Row number of the faulty record. columnName (?) Name of the column where the error occurred. fieldValue (?) Faulty value.
"calendar.txt" 2 "service_id" "夏期1"
"calendar.txt" 3 "service_id" "冬期"
"calendar.txt" 4 "service_id" "冬期２"
"calendar.txt" 5 "service_id" "冬期追加１"
"calendar.txt" 6 "service_id" "冬期追加２"
"calendar.txt" 7 "service_id" "夏期２"
"trips.txt" 2 "service_id" "冬期２"
"trips.txt" 3 "service_id" "冬期２"
"trips.txt" 4 "service_id" "冬期２"
"trips.txt" 5 "service_id" "冬期２"
"trips.txt" 6 "service_id" "冬期２"
"trips.txt" 7 "service_id" "冬期２"
"trips.txt" 8 "service_id" "冬期２"
"trips.txt" 9 "service_id" "冬期２"
"trips.txt" 10 "service_id" "冬期２"
"trips.txt" 11 "service_id" "冬期２"
"trips.txt" 12 "service_id" "夏期２"
"trips.txt" 13 "service_id" "夏期２"
"trips.txt" 14 "service_id" "夏期２"
"trips.txt" 15 "service_id" "夏期２"
"trips.txt" 16 "service_id" "夏期２"
"trips.txt" 17 "service_id" "夏期２"
"trips.txt" 18 "service_id" "夏期２"
"trips.txt" 19 "service_id" "夏期２"
"trips.txt" 20 "service_id" "夏期２"
"trips.txt" 21 "service_id" "夏期２"
"trips.txt" 22 "service_id" "夏期1"
"trips.txt" 23 "service_id" "夏期1"
"trips.txt" 24 "service_id" "夏期1"
"trips.txt" 25 "service_id" "夏期1"
"trips.txt" 26 "service_id" "夏期1"
"trips.txt" 27 "service_id" "夏期1"
"trips.txt" 28 "service_id" "夏期1"
"trips.txt" 29 "service_id" "夏期1"
"trips.txt" 30 "service_id" "夏期1"
"trips.txt" 31 "service_id" "夏期1"
"trips.txt" 32 "service_id" "冬期"
"trips.txt" 33 "service_id" "冬期"
"trips.txt" 34 "service_id" "冬期"
"trips.txt" 35 "service_id" "冬期"
"trips.txt" 36 "service_id" "冬期"
"trips.txt" 37 "service_id" "冬期"
"trips.txt" 38 "service_id" "冬期"
"trips.txt" 39 "service_id" "冬期"
"trips.txt" 40 "service_id" "冬期"
"trips.txt" 41 "service_id" "冬期"
"trips.txt" 42 "service_id" "冬期２"
"trips.txt" 43 "service_id" "冬期２"
"trips.txt" 44 "service_id" "冬期２"
"trips.txt" 45 "service_id" "冬期２"
unused_shape WARNING 1

unused_shape

Shape is not used in GTFS file trips.txt.

All records defined by GTFS shapes.txt should be used in trips.txt.

You can see more about this notice here.

shapeId (?) The faulty record's id. csvRowNumber (?) The row number of the faulty record.
"shapes_94_1" 421