Navigating the post-pandemic urban landscape: Disparities in transportation recovery & regional insights from New York City

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Dan Qiang, Grant McKenzie

Published: 01 Jan 2024, Last Modified: 07 Feb 2025Comput. Environ. Urban Syst. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•This study provides a four-year longitudinal analysis of the post-COVID ridership recovery patterns in New York City.•The research utilizes clustering techniques to identify how different regions vary in their response to the pandemic.•The study explores how various factors affect transportation recovery, highlighting urban resilience.•Findings reveal taxis, ride-hails, and subway varied in pandemic resilience, with ride-hails most robust.•Research shows complex ties between COVID-19 cases, government stringency index, and transport recovery rates.