GTFS Schedule Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2025-12-05T17:17:47Z,
for the dataset file:///shared/abashiribus-current.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

Feed Info

Publisher Name:
Busmaps.com
Publisher URL:
https://busmaps.com
Feed Email:
alex@busmaps.com
Feed Language:
Japanese
Feed Start Date:
2025-04-01
Feed End Date:
2026-03-31

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. routes.txt
  8. shapes.txt
  9. stop_times.txt
  10. stops.txt
  11. trips.txt

Counts

  • Agencies: 1
  • Blocks: 2
  • Routes: 21
  • Shapes: 51
  • Stops: 532
  • Trips: 134

Specification Compliance report

14153 notices reported (9250 errors, 4903 warnings, 0 infos)

Notice Code Severity Total
duplicate_key ERROR 9250

duplicate_key

Duplicated entity.

The values of the given key and rows are duplicates.

You can see more about this notice here.

Only the first 50 of 9250 affected records are displayed below.

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_rules.txt" 230 341 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,71_3,68_2"
"fare_rules.txt" 231 342 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,71_3,61_2"
"fare_rules.txt" 232 343 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,71_3,60_2"
"fare_rules.txt" 233 344 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,71_3,59_2"
"fare_rules.txt" 234 345 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,71_3,58_5"
"fare_rules.txt" 235 346 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,71_3,57_1"
"fare_rules.txt" 236 347 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,68_2,61_2"
"fare_rules.txt" 237 348 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,68_2,60_2"
"fare_rules.txt" 238 349 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,68_2,59_2"
"fare_rules.txt" 239 350 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,68_2,58_5"
"fare_rules.txt" 240 351 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,68_2,57_1"
"fare_rules.txt" 241 352 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,61_2,60_2"
"fare_rules.txt" 242 353 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,61_2,59_2"
"fare_rules.txt" 243 354 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,61_2,58_5"
"fare_rules.txt" 244 355 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,61_2,57_1"
"fare_rules.txt" 245 356 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,60_2,59_2"
"fare_rules.txt" 246 357 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,60_2,58_5"
"fare_rules.txt" 247 358 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,60_2,57_1"
"fare_rules.txt" 248 359 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,59_2,58_5"
"fare_rules.txt" 249 360 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,59_2,57_1"
"fare_rules.txt" 250 361 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,59_2,56_1"
"fare_rules.txt" 251 362 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,59_2,55_1"
"fare_rules.txt" 252 363 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,58_5,57_1"
"fare_rules.txt" 253 364 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,58_5,56_1"
"fare_rules.txt" 254 365 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,58_5,55_1"
"fare_rules.txt" 255 366 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,57_1,56_1"
"fare_rules.txt" 256 367 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,57_1,55_1"
"fare_rules.txt" 257 368 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,56_1,55_1"
"fare_rules.txt" 259 373 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,55_1,47_1"
"fare_rules.txt" 261 384 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,47_1,46_1"
"fare_rules.txt" 262 385 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,47_1,45_1"
"fare_rules.txt" 263 386 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,47_1,44_1"
"fare_rules.txt" 264 387 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,46_1,45_1"
"fare_rules.txt" 265 388 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,46_1,44_1"
"fare_rules.txt" 266 389 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,45_1,44_1"
"fare_rules.txt" 267 390 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,44_1,43_1"
"fare_rules.txt" 268 391 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,43_1,42_1"
"fare_rules.txt" 269 392 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,43_1,41_1"
"fare_rules.txt" 270 393 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,42_1,41_1"
"fare_rules.txt" 271 394 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,41_1,40_1"
"fare_rules.txt" 272 395 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,41_1,39_1"
"fare_rules.txt" 273 396 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,41_1,38_1"
"fare_rules.txt" 274 397 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,40_1,39_1"
"fare_rules.txt" 275 398 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,40_1,38_1"
"fare_rules.txt" 276 399 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,40_1,37_1"
"fare_rules.txt" 277 400 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,40_1,36_1"
"fare_rules.txt" 278 401 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,40_1,35_1"
"fare_rules.txt" 279 402 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,39_1,38_1"
"fare_rules.txt" 280 403 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,39_1,37_1"
"fare_rules.txt" 281 404 "fare_id,route_id,origin_id,destination_id" "1492-Fare180yen_00,1492-11,39_1,36_1"
duplicate_route_name WARNING 12

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`.
2 "1492-11" 3 "1492-13" "小清水線" "" 3 "1492-5460301003048"
6 "1492-102" 7 "1492-105" "つくしヶ丘団地線" "" 3 "1492-5460301003048"
6 "1492-102" 8 "1492-106" "つくしヶ丘団地線" "" 3 "1492-5460301003048"
6 "1492-102" 9 "1492-108" "つくしヶ丘団地線" "" 3 "1492-5460301003048"
6 "1492-102" 10 "1492-116" "つくしヶ丘団地線" "" 3 "1492-5460301003048"
6 "1492-102" 11 "1492-124" "つくしヶ丘団地線" "" 3 "1492-5460301003048"
12 "1492-201" 13 "1492-203" "羽衣・向陽線" "" 3 "1492-5460301003048"
12 "1492-201" 14 "1492-204" "羽衣・向陽線" "" 3 "1492-5460301003048"
12 "1492-201" 15 "1492-205" "羽衣・向陽線" "" 3 "1492-5460301003048"
16 "1492-301" 17 "1492-303" "東京農大線" "" 3 "1492-5460301003048"
18 "1492-401" 19 "1492-404" "お買い物バス" "" 3 "1492-5460301003048"
18 "1492-401" 20 "1492-415" "お買い物バス" "" 3 "1492-5460301003048"
missing_recommended_field WARNING 80

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.

Only the first 50 of 80 affected records are displayed below.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"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"
"fare_attributes.txt" 21 "agency_id"
"fare_attributes.txt" 22 "agency_id"
"fare_attributes.txt" 23 "agency_id"
"fare_attributes.txt" 24 "agency_id"
"fare_attributes.txt" 25 "agency_id"
"fare_attributes.txt" 26 "agency_id"
"fare_attributes.txt" 27 "agency_id"
"fare_attributes.txt" 28 "agency_id"
"fare_attributes.txt" 29 "agency_id"
"fare_attributes.txt" 30 "agency_id"
"fare_attributes.txt" 31 "agency_id"
"fare_attributes.txt" 32 "agency_id"
"fare_attributes.txt" 33 "agency_id"
"fare_attributes.txt" 34 "agency_id"
"fare_attributes.txt" 35 "agency_id"
"fare_attributes.txt" 36 "agency_id"
"fare_attributes.txt" 37 "agency_id"
"fare_attributes.txt" 38 "agency_id"
"fare_attributes.txt" 39 "agency_id"
"fare_attributes.txt" 40 "agency_id"
"fare_attributes.txt" 41 "agency_id"
"fare_attributes.txt" 42 "agency_id"
"fare_attributes.txt" 43 "agency_id"
"fare_attributes.txt" 44 "agency_id"
"fare_attributes.txt" 45 "agency_id"
"fare_attributes.txt" 46 "agency_id"
"fare_attributes.txt" 47 "agency_id"
"fare_attributes.txt" 48 "agency_id"
"fare_attributes.txt" 49 "agency_id"
"fare_attributes.txt" 50 "agency_id"
"fare_attributes.txt" 51 "agency_id"
mixed_case_recommended_field WARNING 106

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 106 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" "羽衣・向陽線" 12
"routes.txt" "route_short_name" "羽衣・向陽線" 13
"routes.txt" "route_short_name" "羽衣・向陽線" 14
"routes.txt" "route_short_name" "羽衣・向陽線" 15
"stops.txt" "stop_name" "駒場８丁目" 126
"stops.txt" "stop_name" "駒場８丁目" 127
"stops.txt" "stop_name" "駒場８丁目" 128
"stops.txt" "stop_name" "駒場５丁目" 129
"stops.txt" "stop_name" "駒場５丁目" 130
"stops.txt" "stop_name" "駒場５丁目" 131
"stops.txt" "stop_name" "駒場５丁目" 132
"stops.txt" "stop_name" "駒場３丁目" 133
"stops.txt" "stop_name" "駒場３丁目" 134
"stops.txt" "stop_name" "駒場３丁目" 135
"stops.txt" "stop_name" "駒場３丁目" 136
"stops.txt" "stop_name" "駒場３丁目" 137
"stops.txt" "stop_name" "駒場１丁目" 138
"stops.txt" "stop_name" "駒場１丁目" 139
"stops.txt" "stop_name" "駒場１丁目" 140
"stops.txt" "stop_name" "桂町３丁目" 141
"stops.txt" "stop_name" "桂町３丁目" 142
"stops.txt" "stop_name" "桂町３丁目" 143
"stops.txt" "stop_name" "台町３丁目" 144
"stops.txt" "stop_name" "台町３丁目" 145
"stops.txt" "stop_name" "台町３丁目" 146
"stops.txt" "stop_name" "台町２丁目" 150
"stops.txt" "stop_name" "台町２丁目" 151
"stops.txt" "stop_name" "台町２丁目" 152
"stops.txt" "stop_name" "台町１丁目" 153
"stops.txt" "stop_name" "台町１丁目" 154
"stops.txt" "stop_name" "桂町２丁目" 158
"stops.txt" "stop_name" "桂町２丁目" 159
"stops.txt" "stop_name" "東１丁目 網走市役所前" 166
"stops.txt" "stop_name" "東１丁目 網走市役所前" 167
"stops.txt" "stop_name" "東１丁目 網走市役所前" 168
"stops.txt" "stop_name" "つくしヶ丘６丁目" 387
"stops.txt" "stop_name" "つくしヶ丘６丁目" 388
"stops.txt" "stop_name" "つくしヶ丘５丁目" 394
"stops.txt" "stop_name" "つくしヶ丘５丁目" 395
"stops.txt" "stop_name" "つくしヶ丘５丁目" 396
"stops.txt" "stop_name" "つくしヶ丘４丁目" 397
"stops.txt" "stop_name" "つくしヶ丘４丁目" 398
"stops.txt" "stop_name" "つくしヶ丘４丁目" 399
"stops.txt" "stop_name" "つくしヶ丘３丁目" 400
"stops.txt" "stop_name" "つくしヶ丘３丁目" 401
"stops.txt" "stop_name" "つくしヶ丘３丁目" 402
"stops.txt" "stop_name" "つくしヶ丘２丁目" 403
"stops.txt" "stop_name" "つくしヶ丘２丁目" 404
"stops.txt" "stop_name" "つくしヶ丘２丁目" 405
"stops.txt" "stop_name" "駒場南６丁目" 409
non_ascii_or_non_printable_char WARNING 4657

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 4657 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" "1492-１２月２７日から１月４日運休"
"calendar.txt" 3 "service_id" "1492-１２月２７日から１月４日運行"
"calendar.txt" 4 "service_id" "1492-１２月３１日から１月３日のみ運休"
"calendar.txt" 5 "service_id" "1492-１月１日は運休"
"calendar.txt" 6 "service_id" "1492-土日祝"
"calendar.txt" 7 "service_id" "1492-学校休校日運休"
"calendar.txt" 8 "service_id" "1492-平日"
"calendar.txt" 9 "service_id" "1492-毎日"
"calendar_dates.txt" 2 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 3 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 4 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 5 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 6 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 7 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 8 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 9 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 10 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 11 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 12 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 13 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 14 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 15 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 16 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 17 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 18 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 19 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 20 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 21 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 22 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 23 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 24 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 25 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 26 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 27 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 28 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 29 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 30 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 31 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 32 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 33 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 34 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 35 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 36 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 37 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 38 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 39 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 40 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 41 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 42 "service_id" "1492-１２月２７日から１月４日運休"
"calendar_dates.txt" 43 "service_id" "1492-１２月２７日から１月４日運休"
stop_too_far_from_shape WARNING 48

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.

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.
120 "1492-SHP0010" "1492-23+平日+6" 3407 "1492-1_2" "小清水" [43.99271000000001,144.295512] 20752.967338163435
120 "1492-SHP0010" "1492-23+平日+6" 3408 "1492-2_2" "ふれあいセンター" [43.99271000000001,144.295512] 20929.78218733234
120 "1492-SHP0010" "1492-23+平日+6" 3409 "1492-3_2" "６区" [43.99271000000001,144.295512] 20494.524483116453
120 "1492-SHP0010" "1492-23+平日+6" 3410 "1492-4_2" "５区" [43.99271000000001,144.295512] 20372.97428151406
120 "1492-SHP0010" "1492-23+平日+6" 3411 "1492-5_2" "４区" [43.99271000000001,144.295512] 20188.41377329623
120 "1492-SHP0010" "1492-23+平日+6" 3412 "1492-6_2" "下町２区" [43.99271000000001,144.295512] 20035.524991458264
120 "1492-SHP0010" "1492-23+平日+6" 3413 "1492-7_2" "小清水１区" [43.99271000000001,144.295512] 20021.65945003694
120 "1492-SHP0010" "1492-23+平日+6" 3414 "1492-8_2" "消防署前" [43.99271000000001,144.295512] 20009.329014880215
120 "1492-SHP0010" "1492-23+平日+6" 3415 "1492-9_2" "南８号" [43.99271000000001,144.295512] 20067.378253797477
120 "1492-SHP0010" "1492-23+平日+6" 3416 "1492-10_2" "北光前" [43.99271000000001,144.295512] 20115.653726757686
120 "1492-SHP0010" "1492-23+平日+6" 3417 "1492-11_2" "南７号" [43.99271000000001,144.295512] 20013.336219563953
120 "1492-SHP0010" "1492-23+平日+6" 3418 "1492-12_2" "南６号" [43.99271000000001,144.295512] 19726.985102298844
120 "1492-SHP0010" "1492-23+平日+6" 3419 "1492-13_2" "南５号" [43.99271000000001,144.295512] 19416.600457358803
120 "1492-SHP0010" "1492-23+平日+6" 3420 "1492-14_2" "南４号" [43.99271000000001,144.295512] 19035.86363364218
120 "1492-SHP0010" "1492-23+平日+6" 3421 "1492-15_2" "南３号" [43.99271000000001,144.295512] 18566.318301205687
120 "1492-SHP0010" "1492-23+平日+6" 3422 "1492-16_2" "南１号" [43.99271000000001,144.295512] 17777.87226849273
120 "1492-SHP0010" "1492-23+平日+6" 3423 "1492-17_2" "０号" [43.99278000000001,144.295576] 17392.657697376962
120 "1492-SHP0010" "1492-23+平日+6" 3424 "1492-18_2" "１８線" [43.99278000000001,144.295576] 17072.65735134299
120 "1492-SHP0010" "1492-23+平日+6" 3425 "1492-19_2" "２０線" [43.99271000000001,144.295512] 16263.280827689674
120 "1492-SHP0010" "1492-23+平日+6" 3426 "1492-20_2" "２１線" [43.99271000000001,144.295512] 15711.169504900981
120 "1492-SHP0010" "1492-23+平日+6" 3427 "1492-21_2" "北２号" [43.99278000000001,144.295576] 15348.302940953165
120 "1492-SHP0010" "1492-23+平日+6" 3428 "1492-22_2" "北４号" [43.99278000000001,144.295576] 14855.6307061692
120 "1492-SHP0010" "1492-23+平日+6" 3429 "1492-23_2" "浜小清水神社前" [43.99278000000001,144.295576] 14459.640040013182
120 "1492-SHP0010" "1492-23+平日+6" 3430 "1492-24_2" "浜小清水駅前" [43.99278000000001,144.295576] 14212.72868804889
120 "1492-SHP0010" "1492-23+平日+6" 3431 "1492-25_2" "浦士別入口" [43.99278000000001,144.295576] 13610.604175876566
120 "1492-SHP0010" "1492-23+平日+6" 3432 "1492-26_2" "原生花園" [43.99278000000001,144.295576] 11027.92485883384
120 "1492-SHP0010" "1492-23+平日+6" 3433 "1492-27_2" "とうふつ橋" [43.99271000000001,144.295512] 6973.790032109115
120 "1492-SHP0010" "1492-23+平日+6" 3434 "1492-28_2" "白鳥公園入口" [43.99271000000001,144.295512] 6461.479992111653
120 "1492-SHP0010" "1492-23+平日+6" 3435 "1492-29_2" "竹中商店前" [43.99271000000001,144.295512] 6289.403029285491
120 "1492-SHP0010" "1492-23+平日+6" 3436 "1492-30_2" "北浜駅前" [43.99271000000001,144.295512] 5976.601125368166
120 "1492-SHP0010" "1492-23+平日+6" 3437 "1492-31_2" "浜藻琴" [43.99271000000001,144.295512] 4353.8855580157315
120 "1492-SHP0010" "1492-23+平日+6" 3438 "1492-32_2" "藻琴局前" [43.99271000000001,144.295512] 3543.3458177898256
120 "1492-SHP0010" "1492-23+平日+6" 3439 "1492-33_2" "藻琴駅前" [43.99271000000001,144.295512] 3335.609169741623
120 "1492-SHP0010" "1492-23+平日+6" 3440 "1492-34_2" "藻琴海岸通り" [43.99271000000001,144.295512] 2912.534197876102
120 "1492-SHP0010" "1492-23+平日+6" 3441 "1492-35_2" "佐々木漁場前" [43.99271000000001,144.295512] 2540.273604556798
120 "1492-SHP0010" "1492-23+平日+6" 3442 "1492-36_2" "オホーツク団地" [43.99271000000001,144.295512] 1994.2628280219149
120 "1492-SHP0010" "1492-23+平日+6" 3443 "1492-37_2" "中園入口" [43.99271000000001,144.295512] 1448.7309975108403
120 "1492-SHP0010" "1492-23+平日+6" 3444 "1492-38_2" "鱒浦駅前" [43.9925996659976,144.294515147524] 1055.9178510183176
120 "1492-SHP0010" "1492-23+平日+6" 3445 "1492-39_2" "鱒浦局前" [43.99249519525006,144.29357134432283] 635.3293644074014
120 "1492-SHP0010" "1492-23+平日+6" 3446 "1492-40_2" "鱒浦築港" [43.99264550781994,144.29492931210078] 356.017554977191
120 "1492-SHP0010" "1492-23+平日+6" 3448 "1492-42_2" "つくしヶ丘団地入口" [43.993637198193575,144.29097913599045] 140.89635852926904
120 "1492-SHP0010" "1492-23+平日+6" 3454 "1492-53_2" "桂町２丁目" [44.01346,144.27676] 221.43317547280543
120 "1492-SHP0010" "1492-23+平日+6" 3455 "1492-54_2" "南８条" [44.018479000000006,144.274723] 134.72689164196234
66 "1492-SHP0070" "1492-123+１２月２７日から１月４日運行+16" 1578 "1492-48_2" "台町３丁目" [44.012644805954736,144.27496453979802] 128.23546559411716
66 "1492-SHP0070" "1492-123+１２月２７日から１月４日運行+16" 1579 "1492-49_2" "南高前" [44.014932635934436,144.2746816832317] 261.2183413121003
66 "1492-SHP0070" "1492-123+１２月２７日から１月４日運行+16" 1580 "1492-50_2" "台町２丁目" [44.01568216642136,144.2745965936174] 369.220897600042
66 "1492-SHP0070" "1492-123+１２月２７日から１月４日運行+16" 1581 "1492-51_2" "台町１丁目" [44.01642400000001,144.274199] 421.52910981310686
66 "1492-SHP0070" "1492-123+１２月２７日から１月４日運行+16" 1582 "1492-52_2" "東５丁目" [44.019509666946306,144.27292297700174] 119.08254686685478