01658486

Component

Many U.S. cities have adopted bike share programs because they have potential to increase mobility, diversify transportation mode options, reduce traffic congestion and bring health benefits. Nice Ride Minnesota began operations in 2010 and now supports nearly one-half million trips annually. Using publicly accessible data about bike trips per station per day, this study models correlates of trip generation, with a focus on land use and transportation infrastructure variables. Separate trip generation models are estimated for different types of users. Spatial random effect models are estimated to take into account spatial-autocorrelation between bike stations. Specifically, spatial lag and spatial autoregressive disturbance components are incorporated into the general random effect models. The results reveal heterogeneous impacts of elements of the built environment on trips taken by different types of users. Stations located in the areas with higher population density and job accessibility, a higher percentage of recreational land use, and within a university campus tend to have higher use by members. Stations located in the areas with higher job accessibility, a higher percentage of retail and recreational land use, or close to urban trails have higher use by casual users. The results have implications for siting new stations, planning around stations, and campaigns to increase bike share participation.

This paper was sponsored by TRB committee ANF20 Standing Committee on Bicycle Transportation. Alternate title: Spatial Modeling of Bikeshare Trip Generation in the Twin Cities

18-06282

English

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Bicycles; Built environment; Land use; Location; Spatial analysis; Trip generation; Vehicle sharing

Nice Ride

Bicycle sharing stations

Minneapolis (Minnesota); Saint Paul (Minnesota)

Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; Terminals and Facilities

Transportation Research Board Annual Meeting 2018 Paper #18-06282

TRIS, TRB, ATRI

Jan 8 2018 11:37AM