Presents a scalable agent-based simulation framework for NYC transit fare policies that finds modest ridership effects but large shifts in mode use and income-group impacts, with fare-free buses aiding lower-income riders at revenue cost.
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Simulating Public Transit Fare Policies in NYC: An Efficient, Socioeconomic-Aware Framework
Presents a scalable agent-based simulation framework for NYC transit fare policies that finds modest ridership effects but large shifts in mode use and income-group impacts, with fare-free buses aiding lower-income riders at revenue cost.