GTFS-ride is an open standard for storing and sharing fixed-route transit ridership data.
-
Updated
Dec 30, 2021
#
ridership
Here are 11 public repositories matching this topic...
MTA Subway Origin-Destination Ridership Estimate for 2023.
-
Updated
Aug 14, 2024 - Jupyter Notebook
EDA and data visualization project exploring the ridership and customer segmentation of Capital Bikeshare data in Washington, D.C.
-
Updated
Jan 12, 2021 - Jupyter Notebook
The study utilizes Multiscale Geographically Weighted Regression (MGWR) to examine how built environment factors affect metro ridership in Chicago.
-
Updated
Jan 7, 2024 - R
predict starbucks locations, python, R
-
Updated
Dec 21, 2023 - Jupyter Notebook
Time series methods for transit ridership forecasting.
time-series time-series-analysis ridership time-series-forecasting public-transit ridership-forecasting public-transit-forecast
-
Updated
May 14, 2024 - R
Clustering NYC subway stations based on their ridership patterns. I identify 4 categories using two axes: amount of ridership and time of use.
-
Updated
Mar 4, 2025 - Jupyter Notebook
Interactive Python Dash dashboard for analyzing campus shuttle ridership trends. Supports data-driven decisions such as adjusting vehicle capacity, modifying service hours, and identifying under- or over-utilized stops through time-based and stop-level analysis.
-
Updated
Oct 5, 2025 - Python
Time series methods for public transit ridership forecasting
public-transportation forecasting forecasting-models time-series-analysis public-transport ridership time-series-forecasting timeseries-forecasting public-transit transit-ridership ridership-forecasting transit-ridership-forecasting public-transit-forecast
-
Updated
Apr 23, 2024 - R
Improve this page
Add a description, image, and links to the ridership topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ridership topic, visit your repo's landing page and select "manage topics."