Abstract This study examines the extent to which public transit contributes to the spatial mismatch between low-income households and the gap between low- and high-wage employment and searches for social inequity in the transit-related spatial mismatch across the 50 most populated American metropolitan areas. Wage Gap (WG) and Transit Access Wage Gap (TAWG) measures are proposed to calculate the disparity between low- and high-wage employment and transit access to low- and high-wage employment opportunities. The Bivariate Local Indicator of Spatial Autocorrelation (BiLISA) identifies areas where low-income households experience spatial mismatch due to (i) employment location and (ii) transit access service. Two findings are obtained. First, transit acts as a catalyst for separating low-income households from low-wage employment. Second, the transit-related spatial mismatch disproportionately discriminates and impacts socially vulnerable populations, particularly African Americans and carless households.
Inequity analysis of spatial mismatch for low-income socially vulnerable populations across America
2023-02-27
Article (Journal)
Electronic Resource
English
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