摘要: |
This study will specifically examine how bicycle crash rates changed following the introduction of bikeshare services, allowing us to understand not only the safety effects of such programs, but to further evaluate the broader safety in numbers theory that often underpins support for their adoption. We propose to conduct an interrupted time series analysis to investigate trends of crashes involving a bicycle before and after the implementation of bikeshare programs (as a point when the time series was potentially interrupted). The time series models will account for seasonal trends and for the increased number of bicycles/stations over time. In addition to the systemwide analysis of bicycle safety in the nine cities in our sample, we will further conduct a neighborhood-level investigation of the Citi Bike share program in New York City (NYC). The outcomes of this analysis will allow us to ascertain the extent to which characteristics of the built environment may moderate bicycle crash incidence and are thus useful in providing guidance on both the safe siting of bike share facilities, as well as infrastructure modifications that may enhance bicycle safety. This project will serve to move the field of bicycle injury research forward in two vital ways. First, we will direct attention to the assessment of bike share programs as a safety intervention. This is rare in the field of bicycle injury research, but an important next step in helping cities to make more informed decisions about bikeshare implementations. Second, in collaboration with NYC, our findings will have a direct, positive impact on how to maximize the benefit of these exponentially growing programs to promote public health via bicycle use. Our findings, for the first time, will add bikeshare program to the list of safety interventions that could be executed by city officials and non-profit bike advocacy organizations to promote safe biking. |