Abstract
AbstractThe State of Maryland aims to double its transit ridership by the end of 2020. The Maryland Statewide Transportation Model (MSTM) has been used to analyze different policy options at a system-wide level. Direct ridership models (DRMs) estimate ridership as a function of station environment and transit service features rather than using mode-choice results from large-scale traditional models. They have been particularly favored for estimating the benefits of smart growth policies such as transit-oriented development (TOD) on transit ridership and can be used as complements to the traditional four-step models for analyzing smart-growth scenarios at a local level. They can also provide valuable information that a system-level analysis cannot provide. For example, DRMs can provide ridership estimate when densifying either households or employment at certain stations to test the effectiveness of TOD strategies at target stations. In this study, the authors developed DRMs of rail transit stations, namel...
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