Feed status · checked 2026-09-05
Nankai Rinkan Bus, Hashimoto area (南海りんかんバス橋本・林間田園都市エリア)
Based on the official feed source on file
Service mode Bus
First scorecard for this agency
Catalogued in Wakayama, Japan.
A data-quality and completeness lens to help an agency improve its GTFS feed. Not an official compliance determination from any transit program. New to this? How to read your scorecard. Interactive view of this scorecard. Rubric v1.3, validator 8.0.1.
Measured 3 of 4 score categories from the official feed URL on file.
How we measured this
Confidence in this measurement: medium.
- Realtime quality was not measured this run. It does not count against the grade.
- The feed was downloaded from the official feed URL on file.
Confidence describes how much the pipeline could measure this run, not the feed itself. It never changes the grade.
Top things to fix
Set wheelchair_boarding to 1 (accessible) or 2 (not accessible) for every stop. A field survey can start with the busiest stops.Likely your team
77 of 77 stops don't say whether a wheelchair user can board there. Riders who use wheelchairs can't plan a trip when accessibility is marked 'unknown'; apps show no information at all.
⏱ A column in stops.txt; your scheduling software likely has it.worth about +25 points in its category
Set wheelchair_accessible on every trip. If every vehicle is accessible, this may be one default; otherwise use the value for each trip.Likely your export tool
288 of 288 trips don't say whether the vehicle is wheelchair accessible. Even with accessible stops, riders need to know the bus itself can take them.
⏱ A default or per-trip field in your export.worth about +15 points in its category
Only change the flagged IDs if an app needs basic ASCII values. Update each place that uses the ID. Keep all names and headsigns in their original language.
Some internal IDs use characters outside the basic text set. These IDs are valid UTF-8 data. This warning is only about support in older apps. It does not mean that names in other languages are wrong.
⏱ A planned ID change, not a quick text cleanup.worth about +8 points in its category
Finding handoff
Move one finding to a recheck
Select one finding. Copy the request, make the change in the feed-producing tool, then compare the next complete run.
- Feed evidence
- 77 of 77 stops don't say whether a wheelchair user can board there.
- Next action
- Set wheelchair_boarding to 1 (accessible) or 2 (not accessible) for every stop. A field survey can start with the busiest stops.
- Recheck
- Publish the changed feed at the same URL. On the next complete, comparable scorecard run, confirm that this finding is no longer reported.
Copy handoff text
- Feed evidence
- 288 of 288 trips don't say whether the vehicle is wheelchair accessible.
- Next action
- Set wheelchair_accessible on every trip. If every vehicle is accessible, this may be one default; otherwise use the value for each trip.
- Recheck
- Publish the changed feed at the same URL. On the next complete, comparable scorecard run, confirm that this finding is no longer reported.
Copy handoff text
- Feed evidence
- Some internal IDs use characters outside the basic text set.
- Next action
- Only change the flagged IDs if an app needs basic ASCII values. Update each place that uses the ID. Keep all names and headsigns in their original language.
- Recheck
- Publish the changed feed at the same URL. On the next complete, comparable scorecard run, confirm that this finding is no longer reported.
Copy handoff text
How to make and check these changes
Check the result on the published feed. Read the guide, make the change in your tool, and use the next comparable run to see whether the finding is still reported. Only an action or ticket record can attribute who made the change.
Set wheelchair_boarding to 1 (accessible) or 2 (not accessible) for every stop. A field survey can start with the busiest stops. · Read the fix guide
Make the change. Make this change in whatever tool produces your feed, then re-export.
Check the result. The next scorecard run checks this finding again. If a comparable check no longer reports it, the feed's clearance log records that result. This confirms feed state, not who made the change. Self-check a feed before you publish.
Set wheelchair_accessible on every trip. If every vehicle is accessible, this may be one default; otherwise use the value for each trip. · Read the fix guide
Make the change. Make this change in whatever tool produces your feed, then re-export.
Check the result. The next scorecard run checks this finding again. If a comparable check no longer reports it, the feed's clearance log records that result. This confirms feed state, not who made the change. Self-check a feed before you publish.
Only change the flagged IDs if an app needs basic ASCII values. Update each place that uses the ID. Keep all names and headsigns in their original language.
Make the change. Make this change in whatever tool produces your feed, then re-export.
Check the result. The next scorecard run checks this finding again. If a comparable check no longer reports it, the feed's clearance log records that result. This confirms feed state, not who made the change. Self-check a feed before you publish.
Rider view: what this feed publishes
A quick read of rider-facing information in this feed.
- Schedule visibility
- The feed's last published service date is in 207 days.
- Published accessibility data
- Accessibility information is stated for 0% of stops and 0% of trips. This measures published data, not whether stops or vehicles are physically usable.
- Fare information
- Fare information is published using GTFS Fares v1.
- Realtime information
- Realtime-feed availability and live-arrival coverage are not known from this scorecard.
Important: This does not rate service reliability. Riders should confirm current service alerts, fares, and accessibility accommodations with the transit operator before traveling.
Send your vendor a fix request
You may not control the GTFS export yourself. Copy this and send it to whoever runs your scheduling software export. It names each fix with the validator notice and a guide link.
Score by category
The MobilityData validator flagged 7 kinds of issue across 4244 instances (0 error, 4182 warning, 62 informational).
Service data covers the next 207 days.
0% of stops state wheelchair accessibility (0% marked accessible, 0% marked not accessible). This measures what the feed publishes, not whether a stop is physically usable. Fare data is published.
0% of stops state accessibility (0% marked accessible). Reflects what the feed states, not verified physical usability.
1 accessibility depth signal
1 route badge(s) pair a color and text color below the WCAG 4.5:1 contrast bar (36 林間田園都市線).
Consider: Adjust route_color or route_text_color so each pair clears 4.5:1. Often switching the text between black and white is enough.
Opportunities to strengthen the data, not deductions from the sub-score above. States what the second accessibility lens can check from the feed, not verified physical usability.
Fares are applied to trips.
Not scored yet. Nothing here counts against the grade.
Routes and stops
Each route is drawn once, using the longest shape its trips follow; stops are the dots.
This feed has 77 stops.
The route and stop data is ready below. Load the map only when you want the geographic view. It uses additional data.
Basemap: OpenFreeMap, © OpenStreetMap contributors. Routes and stops: this agency's GTFS feed.
- 11 林間田園都市線 (teal)
- 12 林間田園都市線 (blue)
- 14 紀見線 (brown)
- 15 林間田園都市線 (brown)
- 21 紀見線 (blue)
- 31 林間田園都市線 (teal)
- 36 林間田園都市線 (gray)
- 37 林間田園都市線 (black)
- 51 橋本市内線 (pink)
- 55 紀見橋本病院線 (gray)
| Route | Type | Line color |
|---|---|---|
| 11 林間田園都市線 | Bus | teal |
| 12 林間田園都市線 | Bus | blue |
| 14 紀見線 | Bus | brown |
| 15 林間田園都市線 | Bus | brown |
| 21 紀見線 | Bus | blue |
| 31 林間田園都市線 | Bus | teal |
| 36 林間田園都市線 | Bus | gray |
| 37 林間田園都市線 | Bus | black |
| 51 橋本市内線 | Bus | pink |
| 55 紀見橋本病院線 | Bus | gray |
List every stop
- 林間田園都市駅前
- 林間田園都市駅前
- 林間田園都市駅前
- 林間田園都市駅前
- 三石台
- 三石台
- 城山台南
- 城山台南
- 城山台センター
- 城山台センター
- 城山台北
- 城山台北
- 小峰台西
- 小峰台西
- 小峰台中
- 小峰台中
- 霜草
- 霜草
- 紀ノ光台南
- 紀ノ光台南
- 岩倉大橋
- あやの台中央
- あやの台南口
- あやの台一丁目東
- あやの台一丁目中
- 初芝橋本高校前
- 初芝橋本高校前
- 橋本市民病院前
- 小峰台二丁目中
- 小峰台二丁目中
- 小峰台二丁目東
- 小峰台二丁目東
- 紀ノ光台三丁目北
- 紀ノ光台三丁目北
- 紀ノ光台三丁目中
- 紀ノ光台三丁目中
- 紀ノ光台二丁目北
- 紀ノ光台二丁目北
- 城野
- 城野
- 慶賀野
- 慶賀野
- 紀見ヶ丘南
- 紀見ヶ丘南
- 紀見ヶ丘中
- 紀見ヶ丘中
- 紀見ヶ丘
- 紀見ヶ丘
- 城山台1丁目南
- 城山台1丁目南
- 紀見
- 紀見
- 胡麻生
- 胡麻生
- 胡麻生西
- 胡麻生西
- 御幸辻駅筋
- 御幸辻駅筋
- 辻原橋
- 辻原橋
- 小原田
- 小原田
- 原田北
- 原田北
- 原田中
- 原田中
- 原田南
- 原田南
- 橋本駅前
- 橋本駅前
- 橋本橋
- 西御門
- 東家
- 東家
- 橋本市役所前
- 橋本市役所前
- 車庫前
Over time
This is the first scorecard for this agency. A trend and a "what changed" summary appear here once it has been checked more than once.
Everything we checked
10 findings, ordered by severity.
Show every finding
- Warning4138 instances
Some internal IDs use characters outside the basic text set.
These IDs are valid UTF-8 data. This warning is only about support in older apps. It does not mean that names in other languages are wrong.
Fix: Only change the flagged IDs if an app needs basic ASCII values. Update each place that uses the ID. Keep all names and headsigns in their original language. (A planned ID change, not a quick text cleanup.)
Finding code: non_ascii_or_non_printable_char · See MobilityData GTFS Validator rules (opens the validator rules on an external site)
- Warning288 instances
288 of 288 trips don't say whether the vehicle is wheelchair accessible.
Even with accessible stops, riders need to know the bus itself can take them.
Fix: Set wheelchair_accessible on every trip. If every vehicle is accessible, this may be one default; otherwise use the value for each trip. (A default or per-trip field in your export.)
Finding code: scorecard_wheelchair_accessible_unknown · Read the fix guide · See GTFS Schedule reference (opens the GTFS Schedule reference on an external site)
- Warning77 instances
77 of 77 stops don't say whether a wheelchair user can board there.
Riders who use wheelchairs can't plan a trip when accessibility is marked 'unknown'; apps show no information at all.
Fix: Set wheelchair_boarding to 1 (accessible) or 2 (not accessible) for every stop. A field survey can start with the busiest stops. (A column in stops.txt; your scheduling software likely has it.)
Finding code: scorecard_wheelchair_boarding_unknown · Read the fix guide · See GTFS Schedule reference (opens the GTFS Schedule reference on an external site)
- Warning31 instances
Some files leave out fields that GTFS asks for but does not require.
Recommended fields like agency_phone or stop descriptions make the feed more useful to riders and trip planners.
Fix: Review the flagged fields and fill in the ones your riders would use. (A field at a time; not urgent.)
Finding code: missing_recommended_field · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)
- Warning12 instances
Some rider-facing names are in ALL CAPS or all lowercase.
ALL-CAPS stop and headsign names are harder to read in apps and are read awkwardly by screen readers.
Fix: Use mixed case for stop names and headsigns (e.g. 'Main St & 2nd Ave', not 'MAIN ST & 2ND AVE'). (Often a bulk fix in your scheduling software.)
Finding code: mixed_case_recommended_field · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)
- Warning1 instance
feed_info.txt lists no contact email and no contact URL.
Without a contact, apps like Google Maps can't reach you when they find a problem in the feed.
Fix: Add feed_contact_email or feed_contact_url to feed_info.txt. (One field, set once in export settings.)
Finding code: missing_feed_contact_email_and_url · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)
- Info55 instances
Some trip headsigns name a stop along the way, not the final destination.
The sign should tell riders where the bus ends up, so a midpoint name can send them the wrong way.
Fix: Set trip_headsign to the trip's last stop or its overall destination. (Usually a bulk edit in your scheduling software.)
Finding code: trip_headsign_matches_intermediate_stop · See MobilityData GTFS Validator rules (opens the validator rules on an external site)
- Info5 instances
Platform without parent station (flagged by the MobilityData validator).
See the linked rule for what this affects.
Fix: Review the rule documentation for 'platform_without_parent_station' at https://gtfs-validator.mobilitydata.org/rules.html and check the flagged rows in your feed. (Varies.)
Finding code: platform_without_parent_station · See MobilityData GTFS Validator rules (opens the validator rules on an external site)
- Info2 instances
Some files contain columns that are not part of the GTFS spec.
Harmless to riders, but apps ignore these columns and they can hide typos in real column names.
Fix: Check the flagged column names for misspellings of standard GTFS fields; remove them if they are vendor extras. (A quick look at the flagged files.)
Finding code: unknown_column · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)
- Info1 instance
feed_info.txt has no technical contact (feed_contact_email or feed_contact_url).
App makers and state data programs have nobody to email when they spot a problem. Small errors then sit in the feed for months.
Fix: Add feed_contact_email to feed_info.txt. (One field.)
Finding code: scorecard_no_feed_contact · Read the fix guide · See MobilityData GTFS Validator rules (opens the validator rules on an external site)
Conformance mark Not yet
One requirement remains for this feed to earn the conformance mark. States wheelchair access on 0% of stops and 0% of trips; the mark needs 90% of each.
- Valid Met
- Passes validation with no errors.
- Current Met
- Service data covers the next 207 days.
- Accessible Not yet
- States wheelchair access on 0% of stops and 0% of trips; the mark needs 90% of each.
In plain words: earn this mark when your feed passes validation, has not expired, and says whether nearly every stop and trip is wheelchair accessible.
A pass credential for a feed that is valid, current, and states wheelchair access on nearly every stop and trip. Accessibility here measures what the feed publishes, not whether a stop is physically usable. How the conformance mark works.
Clears the Google and Apple Maps four-week coverage bar. This feed has 207 days of service ahead, clearing the four-week (28-day) window Maps asks for. No validator errors either, so riders keep seeing this agency in their trip planners; warnings lower the grade here but do not remove a feed from Maps.
How this agency maps to the standards
The scorecard is a data-quality lens, not a compliance determination. Its universal references describe good GTFS and useful rider information. Useful references here are GTFS Schedule Best Practices, GTFS-Realtime Best Practices, MobilityData grading scheme, Google Transit publication guidance. Read the full standards crosswalk.
- Correctness 74 / 100
- GTFS Schedule best practices, checked by the MobilityData validator. MobilityData grading covers stop locations, route names, and colors. Google Transit requires a feed to pass validation for publication.
- Freshness 100 / 100
- GTFS Schedule best practices call for a dataset that stays current. An expired calendar can remove service from Google Transit and other rider trip planners.
- Rider experience 52 / 100
- GTFS Best Practices for rider-facing fields. MobilityData grading covers stop names and headsigns.
- Realtime quality Not yet published
- GTFS-Realtime best practices: a stable URL, high uptime, and frequent updates.
Cite this record
This page updates on every check. The record below does not: it is the dated file this grade came from, published at https://gtfsscorecard.org/data/artifacts/nankai-rinkan-bus-hashimoto/2026-09-05.json and never overwritten, pinning the grade, category scores, rubric version, validator version, reader archive profile, and the scored feed's sha256 as they stood on 2026-09-05. Use it in a board packet, a regulatory filing, or a research citation instead of linking the live page, whose content will differ on your next visit.
Citing the tool itself rather than one agency's record? Use the repo's CITATION.cff.