Daily Public Transport Ridership
Data as of 30 Nov 2024, 23:59Daily-frequency ridership data for various public transport services across the country.
0 views·0 downloads
How is this data produced?
This dataset is derived from anonymous transactional data generated by the ticketing or tap-in/out systems of the various public transport services across the country.
What caveats I should bear in mind when using this data?
These ridership numbers represent 'headline' totals for major public transport services. There are several nuances to bear in mind:
- For Prasarana-operated services (LRT, MRT, Monorail), you should not attempt to derive the values in this dataset from origin-destination data, because the methodology for attributing ridership to specific lines (especially at interchange stations) is not straightforward.
- For KTMB-operated services (Komuter, Intercity, ETS, Shuttle Tebrau), the headline totals are directly derived from origin-destination data as the various services do not 'cross' in their operations.
- Although origin-destination data is updated daily on our site, this dataset is updated monthly because the headline numbers go through an audit process prior to publication.
Publication(s) using this data
Ridership numbers for Prasarana-operated services are also published as part of their MyRapid Performance Update; the data here is 100% consistent with the data published there as it is derived from the same source. Our site also features a dashboard on public transport ridership!
Metadata
Dataset description
Daily-frequency ridership data for various public transport services across the country.
Variable definitions
- Date
- Rapid Bus (KL)
- Rapid Bus (Kuantan)
- Rapid Bus (Penang)
- LRT Ampang Line
- LRT Kelana Jaya Line
- Monorail Line
- MRT Kajang Line
- MRT Putrajaya Line
- KTMB ETS
- KTM Intercity
- KTM Komuter
- KTM Komuter Utara
- KTM Shuttle Tebrau
Name in Dataset | Variable | Definition |
|---|---|---|
date (Date) | Date | Date in YYYY-MM-DD format |
bus_rkl (Integer) | Rapid Bus (KL) | Number of trips, NOT number of unique individuals |
bus_rkn (Integer) | Rapid Bus (Kuantan) | Number of trips, NOT number of unique individuals |
bus_rpn (Integer) | Rapid Bus (Penang) | Number of trips, NOT number of unique individuals |
rail_lrt_ampang (Integer) | LRT Ampang Line | Number of trips, NOT number of unique individuals |
rail_lrt_kj (Integer) | LRT Kelana Jaya Line | Number of trips, NOT number of unique individuals |
rail_monorail (Integer) | Monorail Line | Number of trips, NOT number of unique individuals |
rail_mrt_kajang (Integer) | MRT Kajang Line | Number of trips, NOT number of unique individuals |
rail_mrt_pjy (Integer) | MRT Putrajaya Line | Number of trips, NOT number of unique individuals |
rail_ets (Integer) | KTMB ETS | Number of trips, NOT number of unique individuals |
rail_intercity (Integer) | KTM Intercity | Number of trips, NOT number of unique individuals |
rail_komuter (Integer) | KTM Komuter | Number of trips, NOT number of unique individuals |
rail_komuter_utara (Integer) | KTM Komuter Utara | Number of trips, NOT number of unique individuals |
rail_tebrau (Integer) | KTM Shuttle Tebrau | Number of trips, NOT number of unique individuals |
Last updated:
12 Dec 2024, 12:00
Next update:
12 Jan 2025, 12:00
Data source(s)
- Ministry of Transport
- Prasarana Malaysia
- Malayan Railways Limited
URLs to dataset
License
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.
Download
Data
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
0
Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
0
Code
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/ridership_headline.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Sample OpenAPI query
The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=ridership_headline&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
© 2024 Public Sector Open Data