fastest-bus-analysis-in-the-west
A python Pandas script that combines Ridership/APC, Swiftly speed and dwell data, bus stop inventory, GTFS, and geospatial shapes to create a stop by stop, route by route, time grouping filterable dataset for cross-analyses. The dataset is then visualized in Tableau to help VTA…
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- 2026-10-10
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Transit Vis github.com
A visualization tool to display performance metrics derived from the King County Metro GTFS-RT feed (OneBusAway API). Viewable here. Used for this paper.
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webapp metrotransitmn.shinyapps.io
, GitHub) - An R Shiny app to ingest ridership time series, and return seasonal, trend, and residual components according to STL methodology and forecasts including uncertainty based on those components. Sponsored by Metro Transit (Minneapolis-St. Paul).
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tidytransit github.com
Use tidytransit to map transit stops and routes, calculate travel times and transit frequencies, and validate transit feeds. tidytransit reads the General Transit Feed Specification into tidyverse and simple features data frames.
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GTFS Data Pipeline for TfNSW Bus Datasets github.com
A data pipeline developed for the TfNSW's GTFS Static and Realtime datasets. The datasets generated using the pipeline have been used to validate the performance of TfNSW's Transit Signal Priority Request via Public Transport Information and Priority System (PTIPS).
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TransitWand github.com
An open source web and mobile application for collecting transit data. Use it to create GTFS feeds, capture passenger counts or generate GIS datasets.
Transit › Using Data > Visualizations > GTFS Based Visualizations: “A python Pandas script that combines Ridership/APC, Swiftly speed and dwell data, bus stop inventory, GTFS, and geospatial shapes to create a stop by stop, route by route, time grouping filterable dataset for cross-analyses. The dataset is then visualized in Tableau to help VTA…”