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Source Data Validation Report

rapid-bus-mrtfeeder — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 7.1.0 at 2026-03-24T00:35:18Z,
for the dataset file:///shared/rapid-bus-mrtfeeder_267c044e.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included

MRT Feeder Bus
- website: https://www.myrapid.com.my/traveling-with-us/how-to-travel-with-us/rapid-kl/mrt/mrt-feeder-bus
- phone number: 03-7885-2585
- email: Not provided

Feed Info

Publisher Name:
N/A: Publisher URL:
N/A: Feed Email:
N/A: Feed Language:
N/A: Service Window:
2026-03-24 to 2026-05-01 (?) 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
calendar_dates.txt
routes.txt
shapes.txt
stop_times.txt
stops.txt
trips.txt

Counts

Agencies: 0
Blocks: 0
Routes: 91
Shapes: 92
Stops: 2109
Trips: 6228

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

ShapesHeadsigns

Specification Compliance report

8362 notices reported (0 errors, 8362 warnings, 0 infos)

Notice Code Severity Total

equal_shape_distance_same_coordinates WARNING 2

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

shapeId (?) The id of the faulty shape.	csvRowNumber (?) The row number from `shapes.txt`.	shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record.	shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`.	prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point.	prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point.	prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"1000000547"	34675	5.222993	163	34674	5.222993	162
"1000000547"	34831	9.896849	319	34830	9.896849	318

missing_recommended_field WARNING 92

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 92 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.
"agency.txt"	2	"agency_id"
"routes.txt"	2	"agency_id"
"routes.txt"	3	"agency_id"
"routes.txt"	4	"agency_id"
"routes.txt"	5	"agency_id"
"routes.txt"	6	"agency_id"
"routes.txt"	7	"agency_id"
"routes.txt"	8	"agency_id"
"routes.txt"	9	"agency_id"
"routes.txt"	10	"agency_id"
"routes.txt"	11	"agency_id"
"routes.txt"	12	"agency_id"
"routes.txt"	13	"agency_id"
"routes.txt"	14	"agency_id"
"routes.txt"	15	"agency_id"
"routes.txt"	16	"agency_id"
"routes.txt"	17	"agency_id"
"routes.txt"	18	"agency_id"
"routes.txt"	19	"agency_id"
"routes.txt"	20	"agency_id"
"routes.txt"	21	"agency_id"
"routes.txt"	22	"agency_id"
"routes.txt"	23	"agency_id"
"routes.txt"	24	"agency_id"
"routes.txt"	25	"agency_id"
"routes.txt"	26	"agency_id"
"routes.txt"	27	"agency_id"
"routes.txt"	28	"agency_id"
"routes.txt"	29	"agency_id"
"routes.txt"	30	"agency_id"
"routes.txt"	31	"agency_id"
"routes.txt"	32	"agency_id"
"routes.txt"	33	"agency_id"
"routes.txt"	34	"agency_id"
"routes.txt"	35	"agency_id"
"routes.txt"	36	"agency_id"
"routes.txt"	37	"agency_id"
"routes.txt"	38	"agency_id"
"routes.txt"	39	"agency_id"
"routes.txt"	40	"agency_id"
"routes.txt"	41	"agency_id"
"routes.txt"	42	"agency_id"
"routes.txt"	43	"agency_id"
"routes.txt"	44	"agency_id"
"routes.txt"	45	"agency_id"
"routes.txt"	46	"agency_id"
"routes.txt"	47	"agency_id"
"routes.txt"	48	"agency_id"
"routes.txt"	49	"agency_id"
"routes.txt"	50	"agency_id"

missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"

mixed_case_recommended_field WARNING 8264

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 8264 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.
"stops.txt"	"stop_name"	"KOMPLEKS MUHIBBAH (BARAT)"	2
"stops.txt"	"stop_name"	"SUNSURIA TECHNOLOGY CENTRE (UTARA)"	3
"stops.txt"	"stop_name"	"SUNSURIA TECHNOLOGY CENTRE (BARAT)"	4
"stops.txt"	"stop_name"	"SELANGOR SCIENCE PARK"	5
"stops.txt"	"stop_name"	"ST JOSEPH'S INSTITUTION"	6
"stops.txt"	"stop_name"	"SUNWAY SUTERA"	7
"stops.txt"	"stop_name"	"TROPICANA GOLF CLUB"	8
"stops.txt"	"stop_name"	"TROPICANA GRANDE"	9
"stops.txt"	"stop_name"	"CASA TROPICANA"	10
"stops.txt"	"stop_name"	"CITA DAMANSARA"	11
"stops.txt"	"stop_name"	"KOMERSIAL BURHANUDDIN (1)"	12
"stops.txt"	"stop_name"	"KOMERSIAL BURHANUDDIN (2)"	13
"stops.txt"	"stop_name"	"(M1) VILLA FLORA CONDO"	14
"stops.txt"	"stop_name"	"KIARA PARK CONDO"	15
"stops.txt"	"stop_name"	"KG SG PENCHALA (1)"	16
"stops.txt"	"stop_name"	"KG SG PENCHALA (2)"	17
"stops.txt"	"stop_name"	"KG SG PENCHALA (3)"	18
"stops.txt"	"stop_name"	"THE STRAND TIMUR"	19
"stops.txt"	"stop_name"	"MRT SURIAN PINTU B"	20
"stops.txt"	"stop_name"	"SRK SEKSYEN 11"	21
"stops.txt"	"stop_name"	"(M1) D'VILLA AVENUE"	22
"stops.txt"	"stop_name"	"AEON BIG KD"	23
"stops.txt"	"stop_name"	"THE STRAND BARAT"	24
"stops.txt"	"stop_name"	"DATARAN SUNWAY BARAT"	25
"stops.txt"	"stop_name"	"DERET KEDAI PJU 7/7A"	26
"stops.txt"	"stop_name"	"KOMERSIAL PJU 7/16"	27
"stops.txt"	"stop_name"	"MRT MUTIARA DAMANSARA PINTU B"	28
"stops.txt"	"stop_name"	"1 UTAMA BUS TERMINAL"	29
"stops.txt"	"stop_name"	"1 UTAMA"	30
"stops.txt"	"stop_name"	"IKEA (BARAT)"	31
"stops.txt"	"stop_name"	"SMK BANDAR UTAMA BARAT"	32
"stops.txt"	"stop_name"	"SMK BANDAR UTAMA DAMANSARA 2"	33
"stops.txt"	"stop_name"	"PANGSAPURI PELANGI"	34
"stops.txt"	"stop_name"	"SK BANDAR UTAMA DAMANSARA 2"	35
"stops.txt"	"stop_name"	"SMK BANDAR UTAMA UTARA"	36
"stops.txt"	"stop_name"	"STELLARS GROCER"	37
"stops.txt"	"stop_name"	"HOSPITAL SG BULOH PINTU D (OPP)"	38
"stops.txt"	"stop_name"	"HOSPITAL SG BULOH PINTU B (OPP)"	39
"stops.txt"	"stop_name"	"KOLEJ SAINS BERSEKUTU KESIHATAN (OPP)"	40
"stops.txt"	"stop_name"	"UITM SG BULOH"	41
"stops.txt"	"stop_name"	"(M1) UITM SG BULOH (OPP)"	42
"stops.txt"	"stop_name"	"KOLEJ SAINS BERSEKUTU KESIHATAN"	43
"stops.txt"	"stop_name"	"HOSPITAL SG BULOH PINTU B"	44
"stops.txt"	"stop_name"	"HOSPITAL SG BULOH PINTU D"	45
"stops.txt"	"stop_name"	"SK SG BULOH (OPP)"	46
"stops.txt"	"stop_name"	"DATARAN VILLA PUTRA"	47
"stops.txt"	"stop_name"	"PERINDUSTRIAN BRP 8"	48
"stops.txt"	"stop_name"	"PERUMAHAN BRP 6"	49
"stops.txt"	"stop_name"	"PUSAT KOMERSIAL TSB"	50
"stops.txt"	"stop_name"	"SME AEROSPACE"	51

stop_too_far_from_shape_using_user_distance WARNING 3

stop_too_far_from_shape_using_user_distance

Stop time too far from shape.

A stop time entry that is a large distance away from the location of the shape in shapes.txt as defined by shape_dist_traveled values.

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.
4151	"1000000323"	"260313010043S10"	13448	"12001975"	"PERUMAHAN JLN HELANG (BARAT)"	[3.203314029863613,101.64413104182458]	436.30454416569427
4151	"1000000323"	"260313010043S10"	13449	"12001976"	"PERUMAHAN JLN BEBEREK"	[3.203532750004251,101.64396393248462]	214.2480107253033
5093	"1000000511"	"260313010127S10"	34452	"12002580"	"SMK BANDAR PUNCAK JALIL"	[3.0272377575516005,101.68024633424955]	127.84165775971914