Elsevier

Cities

Volume 131, December 2022, 104006
Cities

A tale of two Americas: Socio-economic mobility gaps within and across American cities before and during the pandemic

https://doi.org/10.1016/j.cities.2022.104006Get rights and content
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open access

Highlights

  • We analyze pre- and during COVID-19 mobility behavior by socio-economic status based on over 139 million individual trips in nine U.S. cities.

  • High-SEI residents universally reduced their mobility to a greater extent during the pandemic.

  • We find a broad shift to automobile travel in transit-oriented areas during the pandemic.

  • Neighborhoods characteristics such as walkability and transit accessibility impact travel outcomes beyond income or socio-economic status.

  • Unaffordability of neighborhood amenities in walkable urban districts could push low SEI residents to travel further to more affordable destinations.

Abstract

We examine differences in mobility outcomes between residents of highest and lowest socio-economic index (SEI) at the Census block group (CBG) level in nine major US cities prior to and during the COVID-19 pandemic. While low-SEI groups generally traveled shorter distances but visited more city-wide CBGs before the pandemic, high-SEI residents universally reduced their mobility to a greater extent during the pandemic. Although high-SEI residents were making more trips to parks and health-care providers, and fewer subsistence trips to retail stores already before the pandemic, COVID-19 significantly widened these differences thereby exacerbating “mobility gaps” between low-SEI and high-SEI groups. We further examine how such “mobility gaps” can be mitigated by spatial advantages of home locations, controlling for political inclination. We find that living in better transit-served or more walkable neighborhoods generally benefited high-SEI residents more than low-SEI residents, with some variation across cities. This suggests that built environments not only impact mobility outcomes during “normal” times, but also influence how different socio-economic groups are able to adapt during times of crisis.

Keywords

Mobility equity
COVID-19
U.S. cities
Residential location
Smartphones
Big data

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