Daily origin-destination ridership data covering all 7 stop on the BRT Sunway Line. The table provides a brief preview of the data, but you may download the data in full.
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This dataset is derived from anonymous transactional data generated by Rapid's tap-in-tap-out system, which governs the gates at all rail stations in the Klang Valley. The origin-destination totals are calculated by summing passenger counts across all station-station pairs at daily frequency.
Daily origin-destination ridership data covering all 7 stop on the BRT Sunway Line. The table provides a brief preview of the data, but you may download the data in full.
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | Date in YYYY-MM-DD format |
origin (String) | Origin | The station at which the journey began |
destination (String) | Destination | The station at which the journey ended |
ridership (Integer) | Ridership | Number of trips taken from the origin to the destination; it should be noted that this may not necessarily equal the number of passengers, because the same passenger may make multiple trips on that route within the same day. |
03 Apr 2026, 17:51
04 Apr 2026, 22:00
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
Full Dataset (CSV)
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Full Dataset (Parquet)
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Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.data.gov.my/transportation/bus/brt_2026_daily.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)This data catalog is not available through OpenAPI as the nature of the data makes it unsuitable for API access. For the full dataset, please use the provided download link as shown in the above section.
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