Distributional welfare impacts and compensatory transit strategies under NYC congestion pricing

Early evaluations of NYC’s congestion pricing program indicate overall improvements in vehicle speed and transit ridership. However, its distributional impacts remain understudied, as does the design of compensatory transit strategies needed to mitigate potential welfare losses. This study identifies population segments and regions most affected by congestion pricing, and evaluates how those welfare losses can be compensated through transit improvements funded by the toll revenues. We estimate joint mode and destination models using aggregated synthetic trips in the NY–NJ–CT–PA Combined Statistical Area (CSA) and calibrate toll-related parameters using post-toll changes reported by MTA. Welfare impacts of congestion tolls are measured as changes in consumer surplus (CS) before and after program implementation. Compensatory transit strategies are evaluated by quantifying the reductions in transit wait time and fare discounts required to offset the CS losses. The results show that the program leads to an accessibility-related CS loss of $397.23 million per year, while generating net passenger toll revenue of $523.44 million per year estimated based on the MTA’s report—indicating a net welfare gain. However, these gains in benefits conceal significant disparities. CS losses are concentrated in upper Manhattan, Brooklyn, Queens, and Hudson County, particularly among travelers less able to shift to transit or alternative destinations. Achieving a general compensation requires modest investment—a 0.63-minute (13%) reduction in wait time or $165.15 million in annual fare subsidies for NYC residents, and a 2.12-minute (28%) reduction or $171.42 million for New Jersey residents. However, ensuring that no population group and county unit is made worse off is substantially more costly and infeasible through transit improvements alone. These findings underscore the need for differentiated compensation strategies: uniform fare discounts lead to overcompensation for some groups, whereas segment-specific discounts, origin-based fare reductions, or commuter pass bundles can achieve equitable accessibility restoration at lower fiscal cost.