Projects

Transit Infrastructure Analysis

ArcGISGeoPandasPython
Fall 2022
Spatial Analysis
Columbia GSAPP

Not every transit station deserves a tower. GIS overlay analysis scores TOD feasibility by pedestrian activity, street connectivity, and land use — identifying where density investment would actually work.

"High transit access and low pedestrian activity is a signal — the infrastructure exists but the neighborhood design doesn't support walking to it."

01

Spatial Analysis

Method
GIS overlay analysis
Pedestrian counts
Transit accessibility scoring

Geospatial analysis of transit-oriented development feasibility using pedestrian activity data, transit network accessibility, and land use patterns. The project maps where TOD investment would have the highest impact based on existing pedestrian infrastructure and connectivity.

02

Findings

  • Transit access alone doesn't predict walkability. Stations in auto-oriented suburbs score high on access but low on pedestrian activity — proximity without permeability.
  • Street connectivity is the strongest predictor. Grid-pattern neighborhoods near transit consistently outperform cul-de-sac suburbs, even with fewer transit lines.
  • The highest-scoring zones cluster along pre-war corridors. Neighborhoods built before car dependence already have the bones for TOD — fine-grained blocks, mixed use, sidewalk networks.