Citation

Ermagun A, Janatabadi F, Maharjan S. Transp. Res. D Trans. Environ. 2023; 118: e103692.

Copyright

(Copyright © 2023, Elsevier Publishing)

DOI

10.1016/j.trd.2023.103692

PMID

unavailable

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.

Language: en

Keywords

Accessibility; Equity; Public Transit; Spatial Mismatch; Vulnerable Population