Preview
Creation Date
2016-04-11
Description
Slow Roll Chicago (SRC) has enlisted a group of DePaul GIS students to help the organization better understand how equitably current bicycle infrastructure/resources are distributed in Chicago. This study is based upon the use of GIS processing techniques to answer SRC’s pressing question. This study focuses on the development of maps which explore the relationship between a) income and race and b) bike lanes and divvy stations. Data processing and analysis is conducted to explore clustering of income/race around bicycle resources and, furthermore, to establish how many people from various race/income groups have proximate (.25 and .5 miles) access to these resources. Data is primarily taken from the US Census and Chicago Data Portal.
Critically, this study has found that 54% of White Chicago residents have access to Divvy stations within .25 miles of their home while only 29% and 22% of Hispanic and Black residents do, respectively. Similarly,49% of middle/high income households have access to Divvy stations within .25 miles of their home while only 39% of low/moderate income households do. This study has also found that 79% of White Chicago residents have access to bike lanes within .25 miles of their home while only 74% and 71% of Hispanic and Black residents do, respectively. Similarly, 79% of middle/high income households have access to bike lanes within .25 miles of their home while only 76% of low/moderate income households do.
The final report for this community GIS project can be viewed here.
Keywords
bicycle equity, Slow Roll Chicago