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Tisch Library Undergraduate Research Award Winner, 2015.This paper estimates a derived demand model at the station level for the MBTA heavy and light rail system, making use of demographic, transit service-related, and built environment variables to run a simultaneous equations regression. I confirm the hypotheses that average speed of the rail line, median income, percentage of residents under ... read moreage 35, and WalkScore positively impact transit ridership at the station level, but find no evidence that headway is negatively correlated with demand. Ideally, my results should provide Massachusetts policymakers and practitioners in the field of transportation planning with a clearer picture of the driving forces behind rail transit demand.read less
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