This exploratory study analyzes determinants of bikeshare usage of the Capital Bikeshare system in Washington, DC, with a special focus on bicycle lanes and frequency of bikesharing checkouts. It is hypothesized that placing bikesharing stations near bike lanes will increase ridership.
GIS analysis links each bikeshare station with bike lane supply and control variables within a ½ mile radius. Bivariate analysis indicates a correlation between bike lane supply and bikesharing usage. The multiple regression analysis finds a statistically significant relationship between number of bikesharing trips and bike lane supply after controlling for population, retail destinations in the vicinity of stations, and the percentage of households without a car.
This study finds a significant correlation between the presence of bicycle lanes and Capital
Bikeshare usage, and also highlights the importance of population density and mixed-uses in encouraging ridership.