Public Transport Recovery Deep Dive (NYC, San Francisco, Chicago)

Data, Source, and Methodology

Interpretation note: this is a descriptive trend analysis, not a causal model.

Insight 1: Recovery paths diverged after a common COVID shock

Interpretation: All three metros experienced extreme initial collapse, but long-run recovery paths separated substantially by city.

Metro Trough (Apr 2020 index) First 50% (3MMA) First 75% (3MMA) 2025 Avg Index
New York12.22021-072023-0386.7
Chicago19.92022-07Not reached65.2
San Francisco11.32022-11Not reached57.9
Metro ridership index over time
Figure 1. Baseline-normalized ridership index by metro (100 = 2014-2019 same-month average).

Insight 2: Absolute volumes remain below pre-COVID scale

Interpretation: Percentage recovery improved, but absolute monthly and annual rider volumes remain materially lower than 2019 in every city.

Metro 2019 Annual UPT 2025 Annual UPT 2025 vs 2019
New York~3.49B~3.03B86.7%
Chicago~395M~277M70.0%
San Francisco~182M~107M58.9%
Monthly trips by metro
Figure 2. Monthly unlinked passenger trips (millions).

Insight 3: Bus outperformed rail in post-COVID recovery

Interpretation: Rail-heavy, commute-oriented patterns recovered more slowly than bus usage, especially in San Francisco and Chicago.

Metro Bus Index (2025 Avg) Rail Index (2025 Avg)
New York89.885.9
Chicago71.758.0
San Francisco77.746.3
Rail versus bus recovery by city
Figure 3. Rail and bus baseline-normalized recovery paths by metro.

Insight 4: Mode share shifted toward bus

Interpretation: In all three metros, bus gained share relative to rail versus 2019, implying lasting demand rebalancing.

Metro Bus Share (2019) Bus Share (2025) Change (pp)
New York20.1%21.8%+1.7
Chicago52.3%57.6%+5.3
San Francisco38.2%49.1%+10.9
Mode share shift
Figure 4. Bus vs rail share shift from pre-COVID through 2025.

Detailed Findings

Caveats