Cincinnati Metro Transit Network Vulnerability Analysis

The study constructs a directed weighted graph from publicly available GTFS schedule data, computes composite vulnerability scores using Principal Component Analysis (PCA) across four centrality metrics, simulates four Cincinnati-specific disruption scenarios, and overlays results with U.S. Census equity data.

Network: 3,532 connected stops | 4,048 directed edges | 50 routes | 6,435 weekday trips | service_id: 2603-QG & BH-Weekday-010 Key findings: - Most vulnerable stop: Government Square Area F (PCA score = 100.0, betweenness = 0.230) - Government Square hub shutdown (6 stops): 0.17% network disruption — network is resilient to single-hub closure - Ohio River flood scenario (235 stops, FEMA Zone AE): 6.82% disruption, 241 stops isolated — most severe scenario - Downtown power outage (96 stops, 0.5-mile radius): 2.89% disruption, 102 stops isolated - Spearman ρ = 0.18 (p < 0.001) between vulnerability score and neighborhood poverty rate Dataset contents: - SORTA_Stops_Vulnerability_Scores.csv: Main dataset (3,532 stops) with PCA vulnerability scores, four centrality metrics (betweenness, closeness, degree, trip frequency), Census equity variables (median income, poverty rate, car-free household rate, transit dependency, equity impact score), and binary scenario flags for all four disruption scenarios. - Disruption_Scenarios_Summary.csv: Quantified outcomes for four scenarios (stops removed, reachability, disruption %, isolated stops). - Sequential_Removal_Simulation.csv: Network reachability R(G') across 15 sequential stop removals (reachability curve data for Figure 5). - Network_Statistics_Summary.csv: Scalar network metrics reported in the paper. - Cincinnati_Neighborhoods_Demographics.csv: Demographic profile of 20 neighborhoods. - Shapefiles (EPSG:4326): SORTA_Stops (point), Cincinnati_Neighborhoods (polygon), FEMA_FloodZone_AE (polygon). - Figures 2–5 at 300 DPI. - Complete analysis pipeline as a Google Colab-compatible Jupyter notebook.