Location

Collier Library

Faculty Sponsor(s)

Dr. Mario Mighty

Event Website

https://www.una.edu/studentresearch/

Start Date

22-4-2019 1:00 PM

End Date

22-4-2019 2:00 PM

Document Type

Poster Presentation

Description

The purpose of this research is to identify the spatial relationship between cycling accidents among each race and ethnicity (White, Black, Hispanic, and Asian) and the socioeconomic characteristics of the area in which they occur. In this case, all census tracts within the City of Sacramento are observed. Each independent variable used in this research has been provided through the American Community Survey and United States Census Bureau’s estimates. These variables pertain to income, race and ethnicity demographics, commute mode choice, employment, and population. The dependent variable for this analysis involved the race and ethnicity of each bicycle accident victim. There were two sets of models used. The first model tests the frequency, proportion, and geographic pattern of the total bicycle accidents, as well as the number of accidents for each race and ethnicity. The second model used the Global Moran’s I Spatial Autocorrelation tool to measure the association between bicycle accident occurrences among each race and ethnicity and the area's socioeconomic counterparts. The goal of this research is to provide any evidence that racial disparities and transportation inequities for cycling activity and safety may be occurring in the City of Sacramento, California.

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Apr 22nd, 1:00 PM Apr 22nd, 2:00 PM

Racial Disparities in Cycling Activity and Safety: Associations Between the Urban-Built Environment and Bicycle Accidents in the City of Sacramento

Collier Library

The purpose of this research is to identify the spatial relationship between cycling accidents among each race and ethnicity (White, Black, Hispanic, and Asian) and the socioeconomic characteristics of the area in which they occur. In this case, all census tracts within the City of Sacramento are observed. Each independent variable used in this research has been provided through the American Community Survey and United States Census Bureau’s estimates. These variables pertain to income, race and ethnicity demographics, commute mode choice, employment, and population. The dependent variable for this analysis involved the race and ethnicity of each bicycle accident victim. There were two sets of models used. The first model tests the frequency, proportion, and geographic pattern of the total bicycle accidents, as well as the number of accidents for each race and ethnicity. The second model used the Global Moran’s I Spatial Autocorrelation tool to measure the association between bicycle accident occurrences among each race and ethnicity and the area's socioeconomic counterparts. The goal of this research is to provide any evidence that racial disparities and transportation inequities for cycling activity and safety may be occurring in the City of Sacramento, California.

https://ir.una.edu/scholarsweek2019/2019/posters/9