Table

otp_monthly

Monthly OTP values by route. Produced by Data Ingestion.

Owner: Produced by Data Ingestion. · Freshness: Updated when the producing pipeline step is rerun.

Built 2026-03-03 02:23 UTC · Commit defd5c8

Lineage

flowchart LR
  src["otp_monthly"]
  src --> c1["01 - System-Wide OTP Trend"]
  src --> c2["02 - Mode Comparison"]
  src --> c3["03 - Route Ranking"]
  src --> c4["04 - Neighborhood Equity"]
  src --> c5["05 - Anomaly Investigation"]
  src --> c6["06: Seasonal Patterns"]
  src --> c7["07: Stop Count vs OTP"]
  src --> c8["08: Hot-Spot Map"]
  src --> c9["09: Incline Investigation"]
  src --> c10["10: Trip Frequency vs OTP"]
  src --> c11["11: Directional Asymmetry"]
  src --> c12["12: Route Geographic Span vs OTP"]
  src --> c13["13: Cross-Route Correlation Clustering"]
  src --> c14["14: COVID Recovery Trajectories"]
  src --> c15["15: Municipal/County Equity"]
  src --> c16["16: Transfer Hub Performance"]
  src --> c17["17: Weekend vs Weekday Service Profile"]
  src --> c18["18: Multivariate OTP Model"]
  src --> c19["19 - Ridership-Weighted OTP"]
  src --> c20["20 - OTP → Ridership Causality"]
  src --> c21["21 - COVID Ridership vs OTP Recovery"]
  src --> c22["22 - Passenger-Weighted Delay Burden"]
  src --> c23["23 - Garage-Level Performance"]
  src --> c24["24 - Weekday vs Weekend Ridership Trends"]
  src --> c25["25 - Ridership Concentration & Equity"]
  src --> c26["26 - Ridership in Multivariate OTP Model"]
  src --> c27["27 - Traffic Congestion and OTP"]
  src --> c28["28 - Weather Impact"]
  src --> c29["29 - Service Change Impact on OTP"]
  src --> c30["30 - Service Level vs OTP Longitudinal"]
  src --> c31["31 - Stop Consolidation Candidates"]
  src --> c32["34 - Ridership Concentration (Pareto)"]

Context

Why It MattersCaveat
Primary analytical table used in this page's computations. Coverage depends on upstream source availability and ETL assumptions.

Consumed By