Build Reusable Notebook for Event-Based GTFS Transit Data Quality Analysis

[fsalemi]

Summary

Develop a reusable Jupyter notebook in the repository (JupyterHub / GCP environment) to analyze transit data quality around event venues using GTFS data.

This will migrate the existing Google Colab work into the repo and generalize it for future use cases such as:

• FIFA World Cup 2026
• Olympics 2028
• New transit center openings

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Background

The initial analysis evaluated transit service near venues such as SoFi Stadium (Inglewood, CA) and Levi’s Stadium (Santa Clara, CA).

A key finding was that special event transit service is often not reflected in GTFS, which can lead to inaccurate trip planning results.

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Objectives

• Migrate existing Colab analysis into the GitHub repo
• Create a reusable and shareable notebook
• Standardize analysis for future event-based use cases

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Scope

Notebook Development

• Create a notebook in the repo (e.g., notebooks/transit_event_analysis.ipynb)
• Refactor Colab code into clean, readable sections
• Ensure compatibility with JupyterHub (GCP environment)

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Output & Visualization

• Generate summary tables and analysis outputs
• (Optional) Add maps or visualizations

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Deliverables

• Reusable notebook in the repository
• Clean and documented code
• Example outputs for at least one event scenario