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Enhanced Validation Report

chillicothe-oh-us — Enhanced Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-05-09T15:35:18Z,
for the dataset file:///shared/chillicothe-oh-us_9a83abd5.zip. No country code was provided.

Use this report alongside our documentation.

A new version of the Canonical GTFS Schedule validator is available! Please update to get the latest/best validation results.

Summary

Agencies included

Chillicothe Transit System
- website: https://chillicothe.com/departments/transit_department/index.php
- phone number:
- email: Not provided

Feed Info

Publisher Name:
Busmaps.com: Publisher URL:
https://busmaps.com: Feed Language:
English: Feed Start Date:
2025-03-31: Feed End Date:
2026-01-02: Service Window:
2025-03-31 to 2026-01-02 (?) The range of service dates covered by the feed, based on trips with an associated service_id in calendar.txt and/or calendar_dates.txt

Files included

agency.txt
calendar.txt
feed_info.txt
routes.txt
shapes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 1
Blocks: 0
Routes: 3
Shapes: 3
Stops: 54
Trips: 62

GTFS Features included (?) GTFS features provide a standardized vocabulary to define and describe features that are officially adopted in GTFS.

ShapesFeed InformationRoute ColorsHeadsignsStops Wheelchair AccessibilityLocation Types

Specification Compliance report

182 notices reported (116 errors, 66 warnings, 0 infos)

Notice Code Severity Total

stop_time_with_arrival_before_previous_departure_time ERROR 116

stop_time_with_arrival_before_previous_departure_time

Backwards time travel between stops in stop_times.txt

For a given trip_id, the arrival_time of (n+1)-th stoptime in sequence must not precede the departure_time of n-th stoptime in sequence in stop_times.txt.

You can see more about this notice here.

Only the first 50 of 116 affected records are displayed below.

csvRowNumber (?) The row number of the faulty record.	prevCsvRowNumber (?) The row of the previous stop time.	tripId (?) The trip_id associated to the faulty record.	arrivalTime (?) Arrival time at the faulty record.	departureTime (?) Departure time at the previous stop time.
1065	1064	"105179-1849"	"15:21:06"	"15:21:13"
1073	1072	"105179-1849"	"15:30:04"	"15:30:06"
981	980	"105179-1845"	"13:21:06"	"13:21:13"
989	988	"105179-1845"	"13:30:04"	"13:30:06"
1002	1001	"105179-1846"	"13:51:06"	"13:51:13"
1010	1009	"105179-1846"	"14:00:04"	"14:00:06"
1023	1022	"105179-1847"	"14:21:06"	"14:21:13"
1031	1030	"105179-1847"	"14:30:04"	"14:30:06"
1044	1043	"105179-1848"	"14:51:06"	"14:51:13"
1052	1051	"105179-1848"	"15:00:04"	"15:00:06"
897	896	"105179-1841"	"11:21:06"	"11:21:13"
905	904	"105179-1841"	"11:30:04"	"11:30:06"
918	917	"105179-1842"	"11:51:06"	"11:51:13"
926	925	"105179-1842"	"12:00:04"	"12:00:06"
939	938	"105179-1843"	"12:21:06"	"12:21:13"
947	946	"105179-1843"	"12:30:04"	"12:30:06"
960	959	"105179-1844"	"12:51:06"	"12:51:13"
968	967	"105179-1844"	"13:00:04"	"13:00:06"
876	875	"105179-1840"	"10:51:06"	"10:51:13"
884	883	"105179-1840"	"11:00:04"	"11:00:06"
750	749	"105179-1816"	"07:21:06"	"07:21:13"
758	757	"105179-1816"	"07:30:04"	"07:30:06"
363	362	"105179-1817"	"08:07:03"	"08:07:24"
365	364	"105179-1817"	"08:09:00"	"08:09:23"
369	368	"105179-1817"	"08:16:06"	"08:16:27"
372	371	"105179-1817"	"08:20:04"	"08:20:27"
393	392	"105179-1818"	"09:07:03"	"09:07:24"
395	394	"105179-1818"	"09:09:00"	"09:09:23"
399	398	"105179-1818"	"09:16:06"	"09:16:27"
402	401	"105179-1818"	"09:20:04"	"09:20:27"
423	422	"105179-1819"	"10:07:03"	"10:07:24"
425	424	"105179-1819"	"10:09:00"	"10:09:23"
429	428	"105179-1819"	"10:16:06"	"10:16:27"
432	431	"105179-1819"	"10:20:04"	"10:20:27"
1128	1127	"105179-1852"	"16:51:06"	"16:51:13"
1136	1135	"105179-1852"	"17:00:04"	"17:00:06"
1149	1148	"105179-1853"	"17:21:06"	"17:21:13"
1157	1156	"105179-1853"	"17:30:04"	"17:30:06"
1170	1169	"105179-1854"	"17:51:06"	"17:51:13"
1178	1177	"105179-1854"	"18:00:04"	"18:00:06"
1086	1085	"105179-1850"	"15:51:06"	"15:51:13"
1094	1093	"105179-1850"	"16:00:04"	"16:00:06"
1107	1106	"105179-1851"	"16:21:06"	"16:21:13"
1115	1114	"105179-1851"	"16:30:04"	"16:30:06"
693	692	"105179-1827"	"10:37:03"	"10:37:24"
695	694	"105179-1827"	"10:39:00"	"10:39:23"
699	698	"105179-1827"	"10:46:06"	"10:46:27"
702	701	"105179-1827"	"10:50:04"	"10:50:27"
183	182	"105179-1828"	"11:37:03"	"11:37:24"
185	184	"105179-1828"	"11:39:00"	"11:39:23"

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	"105179-service-1768"
3	"105179-service-1828"

fast_travel_between_consecutive_stops WARNING 62

fast_travel_between_consecutive_stops

A transit vehicle moves too fast between two consecutive stops.

The speed threshold depends on route type:

Route type	Description	Threshold, km/h
0	Light rail	100
1	Subway	150
2	Rail	500
3	Bus	150
4	Ferry	80
5	Cable tram	30
6	Aerial lift	50
7	Funicular	50
11	Trolleybus	150
12	Monorail	150
-	Unknown	200

You can see more about this notice here.

Only the first 50 of 62 affected records are displayed below.

tripCsvRowNumber (?) The row number of the problematic trip.	tripId (?) `trip_id` of the problematic trip.	routeId (?) `route_id` of the problematic trip.	speedKph (?) Travel speed (km/h).	distanceKm (?) Distance between stops (km).	csvRowNumber1 (?) The row number of the first stop time.	stopSequence1 (?) `stop_sequence` of the first stop.	stopId1 (?) `stop_id` of the first stop.	stopName1 (?) `stop_name` of the first stop.	departureTime1 (?) `departure_time` of the first stop.	csvRowNumber2 (?) The row number of the second stop time.	stopSequence2 (?) `stop_sequence` of the second stop.	stopId2 (?) `stop_id` of the second stop.	stopName2 (?) `stop_name` of the second stop.	arrivalTime2 (?) `arrival_time` of the second stop.
50	"105179-1841"	"105179-1003"	326.8497230571423	1.0894990768571409	899	13	"105179-3347"	"Save A Lot"	"11:25:21"	900	14	"105179-3348"	"CVS on Western"	"11:25:33"
13	"105179-1778"	"105179-981"	311.938311069115	0.3465981234101278	95	5	"105179-3159"	"Tiffin Tower"	"13:20:09"	96	6	"105179-3155"	"Library"	"13:20:13"
8	"105179-1773"	"105179-981"	311.938311069115	0.3465981234101278	55	5	"105179-3159"	"Tiffin Tower"	"10:50:09"	56	6	"105179-3155"	"Library"	"10:50:13"
40	"105179-1796"	"105179-995"	324.7279352341939	0.45101102115860264	680	22	"105179-3326"	"Water and Hickory"	"07:45:24"	681	23	"105179-3327"	"Cristy's Pizza"	"07:45:29"
39	"105179-1826"	"105179-995"	324.7279352341939	0.45101102115860264	650	22	"105179-3326"	"Water and Hickory"	"17:45:24"	651	23	"105179-3327"	"Cristy's Pizza"	"17:45:29"
3	"105179-1767"	"105179-981"	311.938311069115	0.3465981234101278	15	5	"105179-3159"	"Tiffin Tower"	"07:50:09"	16	6	"105179-3155"	"Library"	"07:50:13"
30	"105179-1817"	"105179-995"	324.7279352341939	0.45101102115860264	380	22	"105179-3326"	"Water and Hickory"	"08:45:24"	381	23	"105179-3327"	"Cristy's Pizza"	"08:45:29"
47	"105179-1838"	"105179-1003"	326.8497230571423	1.0894990768571409	836	13	"105179-3347"	"Save A Lot"	"09:55:21"	837	14	"105179-3348"	"CVS on Western"	"09:55:33"
55	"105179-1846"	"105179-1003"	326.8497230571423	1.0894990768571409	1004	13	"105179-3347"	"Save A Lot"	"13:55:21"	1005	14	"105179-3348"	"CVS on Western"	"13:55:33"
60	"105179-1851"	"105179-1003"	326.8497230571423	1.0894990768571409	1109	13	"105179-3347"	"Save A Lot"	"16:25:21"	1110	14	"105179-3348"	"CVS on Western"	"16:25:33"
29	"105179-1833"	"105179-995"	324.7279352341939	0.45101102115860264	350	22	"105179-3326"	"Water and Hickory"	"17:15:24"	351	23	"105179-3327"	"Cristy's Pizza"	"17:15:29"
36	"105179-1823"	"105179-995"	324.7279352341939	0.45101102115860264	560	22	"105179-3326"	"Water and Hickory"	"14:45:24"	561	23	"105179-3327"	"Cristy's Pizza"	"14:45:29"
53	"105179-1844"	"105179-1003"	326.8497230571423	1.0894990768571409	962	13	"105179-3347"	"Save A Lot"	"12:55:21"	963	14	"105179-3348"	"CVS on Western"	"12:55:33"
14	"105179-1779"	"105179-981"	311.938311069115	0.3465981234101278	103	5	"105179-3159"	"Tiffin Tower"	"13:50:09"	104	6	"105179-3155"	"Library"	"13:50:13"
57	"105179-1848"	"105179-1003"	326.8497230571423	1.0894990768571409	1046	13	"105179-3347"	"Save A Lot"	"14:55:21"	1047	14	"105179-3348"	"CVS on Western"	"14:55:33"
38	"105179-1825"	"105179-995"	324.7279352341939	0.45101102115860264	620	22	"105179-3326"	"Water and Hickory"	"16:45:24"	621	23	"105179-3327"	"Cristy's Pizza"	"16:45:29"
43	"105179-1816"	"105179-1003"	326.8497230571423	1.0894990768571409	752	13	"105179-3347"	"Save A Lot"	"07:25:21"	753	14	"105179-3348"	"CVS on Western"	"07:25:33"
61	"105179-1852"	"105179-1003"	326.8497230571423	1.0894990768571409	1130	13	"105179-3347"	"Save A Lot"	"16:55:21"	1131	14	"105179-3348"	"CVS on Western"	"16:55:33"
45	"105179-1836"	"105179-1003"	326.8497230571423	1.0894990768571409	794	13	"105179-3347"	"Save A Lot"	"08:55:21"	795	14	"105179-3348"	"CVS on Western"	"08:55:33"
31	"105179-1818"	"105179-995"	324.7279352341939	0.45101102115860264	410	22	"105179-3326"	"Water and Hickory"	"09:45:24"	411	23	"105179-3327"	"Cristy's Pizza"	"09:45:29"
25	"105179-1829"	"105179-995"	324.7279352341939	0.45101102115860264	230	22	"105179-3326"	"Water and Hickory"	"13:15:24"	231	23	"105179-3327"	"Cristy's Pizza"	"13:15:29"
28	"105179-1832"	"105179-995"	324.7279352341939	0.45101102115860264	320	22	"105179-3326"	"Water and Hickory"	"16:15:24"	321	23	"105179-3327"	"Cristy's Pizza"	"16:15:29"
58	"105179-1849"	"105179-1003"	326.8497230571423	1.0894990768571409	1067	13	"105179-3347"	"Save A Lot"	"15:25:21"	1068	14	"105179-3348"	"CVS on Western"	"15:25:33"
63	"105179-1854"	"105179-1003"	326.8497230571423	1.0894990768571409	1172	13	"105179-3347"	"Save A Lot"	"17:55:21"	1173	14	"105179-3348"	"CVS on Western"	"17:55:33"
33	"105179-1820"	"105179-995"	324.7279352341939	0.45101102115860264	470	22	"105179-3326"	"Water and Hickory"	"11:45:24"	471	23	"105179-3327"	"Cristy's Pizza"	"11:45:29"
51	"105179-1842"	"105179-1003"	326.8497230571423	1.0894990768571409	920	13	"105179-3347"	"Save A Lot"	"11:55:21"	921	14	"105179-3348"	"CVS on Western"	"11:55:33"
52	"105179-1843"	"105179-1003"	326.8497230571423	1.0894990768571409	941	13	"105179-3347"	"Save A Lot"	"12:25:21"	942	14	"105179-3348"	"CVS on Western"	"12:25:33"
18	"105179-1783"	"105179-981"	311.938311069115	0.3465981234101278	135	5	"105179-3159"	"Tiffin Tower"	"15:50:09"	136	6	"105179-3155"	"Library"	"15:50:13"
37	"105179-1824"	"105179-995"	324.7279352341939	0.45101102115860264	590	22	"105179-3326"	"Water and Hickory"	"15:45:24"	591	23	"105179-3327"	"Cristy's Pizza"	"15:45:29"
26	"105179-1830"	"105179-995"	324.7279352341939	0.45101102115860264	260	22	"105179-3326"	"Water and Hickory"	"14:15:24"	261	23	"105179-3327"	"Cristy's Pizza"	"14:15:29"
16	"105179-1781"	"105179-981"	311.938311069115	0.3465981234101278	119	5	"105179-3159"	"Tiffin Tower"	"14:50:09"	120	6	"105179-3155"	"Library"	"14:50:13"
11	"105179-1776"	"105179-981"	311.938311069115	0.3465981234101278	79	5	"105179-3159"	"Tiffin Tower"	"12:20:09"	80	6	"105179-3155"	"Library"	"12:20:13"
10	"105179-1775"	"105179-981"	311.938311069115	0.3465981234101278	71	5	"105179-3159"	"Tiffin Tower"	"11:50:09"	72	6	"105179-3155"	"Library"	"11:50:13"
9	"105179-1774"	"105179-981"	311.938311069115	0.3465981234101278	63	5	"105179-3159"	"Tiffin Tower"	"11:20:09"	64	6	"105179-3155"	"Library"	"11:20:13"
24	"105179-1828"	"105179-995"	324.7279352341939	0.45101102115860264	200	22	"105179-3326"	"Water and Hickory"	"12:15:24"	201	23	"105179-3327"	"Cristy's Pizza"	"12:15:29"
49	"105179-1840"	"105179-1003"	326.8497230571423	1.0894990768571409	878	13	"105179-3347"	"Save A Lot"	"10:55:21"	879	14	"105179-3348"	"CVS on Western"	"10:55:33"
42	"105179-1834"	"105179-1003"	326.8497230571423	1.0894990768571409	731	13	"105179-3347"	"Save A Lot"	"07:55:21"	732	14	"105179-3348"	"CVS on Western"	"07:55:33"
21	"105179-1787"	"105179-981"	311.938311069115	0.3465981234101278	159	5	"105179-3159"	"Tiffin Tower"	"17:50:09"	160	6	"105179-3155"	"Library"	"17:50:13"
19	"105179-1784"	"105179-981"	311.938311069115	0.3465981234101278	143	5	"105179-3159"	"Tiffin Tower"	"16:20:09"	144	6	"105179-3155"	"Library"	"16:20:13"
17	"105179-1782"	"105179-981"	311.938311069115	0.3465981234101278	127	5	"105179-3159"	"Tiffin Tower"	"15:20:09"	128	6	"105179-3155"	"Library"	"15:20:13"
5	"105179-1770"	"105179-981"	311.938311069115	0.3465981234101278	31	5	"105179-3159"	"Tiffin Tower"	"09:20:09"	32	6	"105179-3155"	"Library"	"09:20:13"
34	"105179-1821"	"105179-995"	324.7279352341939	0.45101102115860264	500	22	"105179-3326"	"Water and Hickory"	"12:45:24"	501	23	"105179-3327"	"Cristy's Pizza"	"12:45:29"
12	"105179-1777"	"105179-981"	311.938311069115	0.3465981234101278	87	5	"105179-3159"	"Tiffin Tower"	"12:50:09"	88	6	"105179-3155"	"Library"	"12:50:13"
41	"105179-1827"	"105179-995"	324.7279352341939	0.45101102115860264	710	22	"105179-3326"	"Water and Hickory"	"11:15:24"	711	23	"105179-3327"	"Cristy's Pizza"	"11:15:29"
23	"105179-1699"	"105179-981"	311.938311069115	0.3465981234101278	175	5	"105179-3159"	"Tiffin Tower"	"07:20:09"	176	6	"105179-3155"	"Library"	"07:20:13"
44	"105179-1835"	"105179-1003"	326.8497230571423	1.0894990768571409	773	13	"105179-3347"	"Save A Lot"	"08:25:21"	774	14	"105179-3348"	"CVS on Western"	"08:25:33"
54	"105179-1845"	"105179-1003"	326.8497230571423	1.0894990768571409	983	13	"105179-3347"	"Save A Lot"	"13:25:21"	984	14	"105179-3348"	"CVS on Western"	"13:25:33"
7	"105179-1772"	"105179-981"	311.938311069115	0.3465981234101278	47	5	"105179-3159"	"Tiffin Tower"	"10:20:09"	48	6	"105179-3155"	"Library"	"10:20:13"
35	"105179-1822"	"105179-995"	324.7279352341939	0.45101102115860264	530	22	"105179-3326"	"Water and Hickory"	"13:45:24"	531	23	"105179-3327"	"Cristy's Pizza"	"13:45:29"
20	"105179-1786"	"105179-981"	311.938311069115	0.3465981234101278	151	5	"105179-3159"	"Tiffin Tower"	"17:20:09"	152	6	"105179-3155"	"Library"	"17:20:13"

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	"20260509"	"20260102"	"20260516"

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.
"20260509"	"20250404"	"20260102"