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  "documentTitle": "MTA Financial Impact COVID-19",
  "authorId": "McKinsey",
  "authorName": "McKinsey",
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  "notes": "The chart categorizes transit systems by mode (Commuter Rail, Heavy Rail, Bus, Mix) and shows the date of data collection.",
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      "kind": "callout",
      "text": "Ridership has fallen across systems across the US and the globe. Due to increased work from home policies, commuter rail systems are affected particularly strongly. Government mandates have also had strong effects in key geographies.",
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      "kind": "chart",
      "text": "Greatest reported reduction in ridership vs. last month or last year, percent reduction in ridership",
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      "kind": "disclaimer",
      "text": "(4/28/20) Please see disclaimer on page 3. These analyses represent only potential scenarios based on discrete data from one point in time. They are not intended as a prediction or forecast, and the situation is changing daily.",
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      "text": "percent reduction in ridership: 99%",
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      "text": "Effects on public transit systems ridership. Ridership has fallen across systems across the US and the globe. Due to increased work from home policies, commuter rail systems are affected particularly strongly. Government mandates have also had strong effects in key geographies.",
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      "kind": "source-note",
      "text": "Data collection and accuracy may vary across transit systems – some might be based on ticket entry, others on samples and extrapolation. Source: Chicago Tribune, Eno Center for Transportation, Boston Herald, WMATA.com, Bart.gov, The New York Times, Saporta Report, Chicago Sun Times, LAist, Seattle Transit Blog, MTA internal data, Boston Business Journal, LAist, WOMB, Bloomberg, Colorado Politics",
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      "text": "Commuter and heavy rail have been affected particularly severely",
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