Tracking the Transit Divide: A Multilevel Modelling Approach of Urban Inequalities and Train Ridership Disparities in Chicago



Owen, Danial, Arribas-Bel, Daniel ORCID: 0000-0002-6274-1619 and Rowe, Francisco ORCID: 0000-0003-4137-0246
(2023) Tracking the Transit Divide: A Multilevel Modelling Approach of Urban Inequalities and Train Ridership Disparities in Chicago. SUSTAINABILITY, 15 (11). p. 8821.

Access the full-text of this item by clicking on the Open Access link.

Abstract

<jats:p>Using a multilevel modelling approach, this study investigates the impact of urban inequalities on changes to rail ridership across Chicago’s “L” stations during the pandemic, the mass vaccination rollout, and the full reopening of the city. Initially believed to have an equal impact, COVID-19 disproportionally impacted the ability of lower socioeconomic status (SES) neighbourhoods’ to adhere to non-pharmaceutical interventions: working-from-home and social distancing. We find that “L” stations in predominately Black or African American and Hispanic or Latino neighbourhoods with high industrial land-use recorded the smallest behavioural change. The maintenance of higher public transport use at these stations is likely to have exacerbated existing health inequalities, worsening disparities in users’ risk of exposure, infection rates, and mortality rates. This study also finds that the vaccination rollout and city reopening did not significantly increase the number of users at stations in higher vaccinated, higher private vehicle ownership neighbourhoods, even after a year into the pandemic. A better understanding of the spatial and socioeconomic determinants of changes in ridership behaviour is crucial for policymakers in adjusting service routes and frequencies that will sustain reliant neighbourhoods’ access to essential services, and to encourage trips at stations which are the most impacted to revert the trend of declining public transport use.</jats:p>

Item Type: Article
Uncontrolled Keywords: urban inequalities, multilevel modelling, spatial patterns, COVID-19, mobility, health inequalities
Divisions: Faculty of Science and Engineering > School of Environmental Sciences
Depositing User: Symplectic Admin
Date Deposited: 26 Jul 2023 15:03
Last Modified: 14 Mar 2024 22:26
DOI: 10.3390/su15118821
Open Access URL: https://doi.org/10.3390/su15118821
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3171935