{
  "generated_at": "2026-06-12T09:20:14",
  "database": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\data\\duckdb\\vic_public_transport.duckdb",
  "chart_directory": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\output\\charts\\recovery_and_shift",
  "html_index": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\output\\html\\recovery_and_shift_graphs_index.html",
  "monthly_rows": 581,
  "station_rows": 314,
  "route_rows": 1040,
  "charts": [
    {
      "title": "Monthly patronage recovery index by mode",
      "kicker": "Mode recovery",
      "description": "Monthly patronage is indexed to each mode's 2019 average month. This shows how each mode recovered or failed to recover over time.",
      "takeaway": "This is the clearest graph for showing whether the network has returned to pre-COVID patronage patterns.",
      "path": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\output\\charts\\recovery_and_shift\\01_monthly_recovery_index_by_mode.png"
    },
    {
      "title": "Annual mode recovery heatmap",
      "kicker": "Recovery heatmap",
      "description": "Each cell shows annual patronage as a percentage of the 2019 annual level for that mode.",
      "takeaway": "The heatmap makes mode-by-mode recovery differences easy to see at a glance.",
      "path": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\output\\charts\\recovery_and_shift\\02_annual_mode_recovery_heatmap.png"
    },
    {
      "title": "CBD station patronage decline",
      "kicker": "CBD decline",
      "description": "This chart isolates the major CBD stations and shows how far they remain below FY18-19 annual entries.",
      "takeaway": "The patronage decline story is heavily concentrated around the traditional CBD station hierarchy.",
      "path": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\output\\charts\\recovery_and_shift\\03_cbd_station_patronage_decline.png"
    },
    {
      "title": "Top station patronage growth winners",
      "kicker": "Growth corridors",
      "description": "This chart shows the stations with the largest annual entry gains since FY18-19.",
      "takeaway": "The counter-story to CBD decline is growth in outer-growth and selected regional or suburban stations.",
      "path": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\output\\charts\\recovery_and_shift\\04_top_station_growth_winners.png"
    },
    {
      "title": "Station size versus recovery quadrant",
      "kicker": "Scale versus recovery",
      "description": "This scatter separates station scale from recovery by plotting FY24-25 entries against percentage change since FY18-19.",
      "takeaway": "Large declining CBD stations and smaller growing stations become visually distinct.",
      "path": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\output\\charts\\recovery_and_shift\\05_station_size_vs_recovery_quadrant.png"
    },
    {
      "title": "Supply-demand pressure quadrant",
      "kicker": "Pressure quadrant",
      "description": "This scatter compares GTFS scheduled supply with annual entries per scheduled departure record.",
      "takeaway": "It separates high-supply/high-pressure stations from low-supply/high-pressure and low-pressure stations.",
      "path": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\output\\charts\\recovery_and_shift\\06_supply_demand_pressure_quadrant.png"
    },
    {
      "title": "Inner-west strategic station comparison",
      "kicker": "Inner-west strategy",
      "description": "This bubble chart compares selected inner-west stations by pressure proxy, recovery and station size.",
      "takeaway": "Footscray remains the major pressure node, while Spotswood stands out for positive recovery.",
      "path": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\output\\charts\\recovery_and_shift\\07_inner_west_strategic_scatter.png"
    },
    {
      "title": "Station patronage concentration",
      "kicker": "Patronage concentration",
      "description": "This chart shows how much patronage is carried by the top 5, 10, 20, 50, 100 and 200 stations.",
      "takeaway": "It explains why major station changes can strongly affect the whole network story.",
      "path": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\output\\charts\\recovery_and_shift\\08_station_patronage_concentration.png"
    },
    {
      "title": "GTFS route supply concentration",
      "kicker": "Supply concentration",
      "description": "This chart shows how much scheduled trip supply is carried by the top GTFS routes.",
      "takeaway": "It reveals how concentrated timetable supply is across the highest-frequency routes.",
      "path": "A:\\TrafficAnalytics\\PROJECTS\\public_transport_intel\\output\\charts\\recovery_and_shift\\09_gtfs_route_supply_concentration.png"
    }
  ]
}