Bike sharing programs have become increasingly popular in many cities. These services allow users to rent bikes for utilitarian and recreational trips in the urban area. Bike sharing has been considered a suitable mode to support the first- and last-mile connectivity problems of fixed-route transit services. Bike sharing has also emerged as a convenient mode for short-distance trips that previously would not have been possible without using public transit or personal bikes. This study investigated the impacts of Citi Bike—a bike sharing program—on the subway ridership in New York City (NYC), using Poisson-Gamma models. Bike sharing trips with destinations within a quarter-mile radius of a subway station were associated with subway ridership increase. A 10% increase in the number of bike trips increased the average daily subway ridership by 2.3%. However, a higher number of bike stations around a subway station decreased the subway ridership in instances where more bike trips originated (as opposed to ended) in the subway station’s service area. The presence of dedicated bike lanes and bike racks attracted more bike users and increased subway ridership. Findings from this study indicate that the development of bike-friendly infrastructure such as activities outlined in the recent NYC Department of Transport (DOT) “Green Wave” program can increase both bike sharing and subway ridership. In addition, policies and initiatives by transportation agencies to better integrate bike sharing programs with the transit system have the potential to increase the attractiveness of bike sharing programs and maximize the subway ridership.
Biking is an active, environmentally friendly, and sustainable transportation mode that facilitates short utilitarian and recreational trips. As such, cities around the world have been implementing bicycle sharing/renting programs at stations in a wide network so that a traveler can mount one close to their origins and drop it off at a station nearest to their destinations. In addition, bike sharing programs can solve the first-mile and last-mile connectivity problems of transit modes. Such programs also enable short trips that were previously impossible without using transit modes. This research investigated the relationship between New York City (NYC) subway ridership and the NYC bike sharing program known as Citi Bike. This study adopted the Spatial Lag Model (SLM) to explore the spatial dependencies between variables; moreover, the Ordinary Least Square (OLS) model was applied to compare the relative performance of SLM. The SLM coefficient estimates indicate that bike sharing trips around a subway station were positively associated. The number of bike sharing stations were negatively associated with subway ridership. This study's findings can be used to develop policies and initiatives that will help to better integrate bike sharing programs with transit services to increase the attractiveness of bike sharing programs and maximize subway ridership.
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