Land Use and Transit Ridership Connections: Implications for State-level Planning Agencies
In this article we attempt to establish the connections between transit ridership and land use and socio-economic variables, and project future ridership under different scenarios. We subdivided the state of Maryland, USA into 1151 Statewide Modeling Zones and developed a set of variables for the base year (2000). We estimated multiple models of transit ridership – using ordinary least squares and spatial error modeling approaches – for the entire state. We also test for the determinants of ridership within urban, suburban and rural typologies. We find that land use type, transit accessibility, income, and density are strongly significant and robust predictors of transit ridership for the statewide and urban areas datasets. We also find that the determinants and their coefficients vary across urban, suburban and rural areas.