scipy

Lineage

flowchart LR
  src["scipy"]
  src --> c1["02 - Mode Comparison"]
  src --> c2["03 - Route Ranking"]
  src --> c3["07: Stop Count vs OTP"]
  src --> c4["10: Trip Frequency vs OTP"]
  src --> c5["11: Directional Asymmetry"]
  src --> c6["12: Route Geographic Span vs OTP"]
  src --> c7["13: Cross-Route Correlation Clustering"]
  src --> c8["14: COVID Recovery Trajectories"]
  src --> c9["15: Municipal/County Equity"]
  src --> c10["16: Transfer Hub Performance"]
  src --> c11["17: Weekend vs Weekday Service Profile"]
  src --> c12["18: Multivariate OTP Model"]
  src --> c13["19 - Ridership-Weighted OTP"]
  src --> c14["20 - OTP → Ridership Causality"]
  src --> c15["21 - COVID Ridership vs OTP Recovery"]
  src --> c16["22 - Passenger-Weighted Delay Burden"]
  src --> c17["23 - Garage-Level Performance"]
  src --> c18["24 - Weekday vs Weekend Ridership Trends"]
  src --> c19["26 - Ridership in Multivariate OTP Model"]
  src --> c20["27 - Traffic Congestion and OTP"]
  src --> c21["28 - Weather Impact"]
  src --> c22["29 - Service Change Impact on OTP"]
  src --> c23["30 - Service Level vs OTP Longitudinal"]
  src --> c24["31 - Stop Consolidation Candidates"]
  src --> c25["32 - Shelter Equity"]
  src --> c26["33 - Pandemic Ridership Geography"]
  src --> c27["34 - Ridership Concentration (Pareto)"]
  src --> c28["38 - Downtown Recovery Gap"]
  src --> c29["42 - Allegheny Go Equity"]
  src --> c30["43 - Allegheny Go Program Growth"]
  src --> c31["45 - Population-Weighted System OTP"]
  src --> c32["46 - Population Transit Proximity"]
  src --> c33["49 - Transit Service & Boardings vs Population Density"]
  src --> c34["51 - Traffic Signals and OTP"]
  src --> c35["55 - Road Classification and OTP"]
  src --> c36["58 - Stop Signal Placement Equity"]
  src --> c37["59 - National Service Elasticity of Ridership"]

Context

Consumed By