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MBTA Park Accessibility

Goal: To evaluate walkgit ing access to parks from every MBTA station in Boston, Cambridge, and Somerville, and identify where the system excels — and where it falls short.

Introduction

As Boston prepares to host the 2026 FIFA World Cup, millions of visitors will rely on the MBTA. This project measures how well the transit system connects riders to greenspace — from conservation land to soccer fields. Using open‑source tools, we generated 5‑, 10‑, and 15‑minute walking isochrones from 150+ stations and intersected them with state‑wide open space data. The result is a clear, data‑driven picture of transit‑based park access across the MBTA.

Data Sources

Methodology

  1. Data Collection : Downloaded MBTA stations, open space polygons, and pedestrian network data.
  2. Isochrone Generation : Created 5‑, 10‑, and 15‑minute walking isochrones from each station using network‑buffered nodes and edges (inspired by Kuan Butts) instead of convex hulls — preserving gaps and avoiding overestimation of walkable area.
  3. Park Access Analysis : Intersected isochrones with open space boundaries to determine which stations provide access within each time band.
  4. Visualization : Produced static maps, a faceted dot plot, and a system‑wide summary table.

Key Findings

Outputs

Technologies Used

Python, GeoPandas, OSMnx, Matplotlib, Jupyter

License

MIT License