Mapping Urban Mobility: A GIS-Based Analysis of Citi Bike’s Accessibility

This study investigates the accessibility of bike infrastructure, including bikeshare stations and bike lanes, in New York City (NYC), with a focus on sociodemographic factors. Utilizing a combination of buffers, the bicycle equity index (BEI) and binary logistic regression, the research analyzes the spatial distribution of bike lanes and bikeshare stations, emphasizing the importance of equitable access. The BEI methodology integrates variables such as minority population, poverty, age groups, and zero-vehicle households to assess equity. Binary logistic regression identifies significant predictors, revealing that households with no vehicles, age-dependent populations, and minorities significantly influence bikeshare station availability. The outcomes provide valuable insights for urban planners, policymakers, and transportation authorities to address sociodemographic disparities and enhance the inclusivity of bike infrastructure in NYC. The research contributes to the understanding of factors shaping bike infrastructure access and informs targeted interventions for creating a more equitable and sustainable urban transportation landscape.