Fare revenue is tracking +3.2% MoM against a −1.1% rider volume decline — a divergence consistent with a fare-elasticity signal, not a ridership recovery. Modeled scenarios show revenue lift of +8.2% to +11.8% under three fare structures, with rider retention trade-offs ranging from −1.2% to −5.4%. Peak-pricing (Scenario B) delivers the strongest dollar lift but the steepest rider impact; distance-based tiering (Scenario C) minimizes rider loss at the cost of some revenue upside. Segment-level elasticity curves indicate commuters and occasional riders drive most sensitivity; students and seniors are comparatively inelastic.