The COVID-19 pandemic has hollowed out corporate office
spaces in large US metropolitan centers, resulting in three
potential downstream differential impacts: (1) on places, as
demand for urban office spaces, commercial real estate,
and housing have changed; (2) on profits, as small and
local businesses in proximity to these office spaces depend
on office workers and other foot traffic; and, (3) on
people, as the livelihoods of many diverse but historically
marginalized communities have been disproportionately
affected. In this article, we examine these impacts, with
downtown Seattle used as a case study to validate some
urban trends. In leveraging data and technology-based
approaches to assess and support urban vitality and equity
goals, policymakers can explore the value of a Main Street
data-driven analytical framework. Here, we explore how such
a framework can support more targeted responses, including implementing technology policy initiatives that increase
the digitalization of Main Street businesses and support
their resilience. Complementing this data-driven framework,
institutionalizing equity analysis in regional decision-making
systems can better account for differential impacts on
vulnerable communities to implement more inclusive future
of work recovery strategies.