PropertyValue
?:abstract
  • The COVID-19 pandemic has caused mass disruption to our daily lives. Mobility restrictions implemented to reduce the spread of COVID-19 have impacted walking behavior, but the magnitude and spatio-temporal aspects of these changes have yet to be explored. Walking is the most common form of physical activity and non-motorized transport, and so has an important role in our health and economy. Understanding how COVID-19 response measures have affected walking behavior of populations and distinct subgroups is paramount to help devise strategies to prevent the potential health and societal impacts of declining walking levels. In this study, we integrated mobility data from mobile devices and area-level data to study the walking patterns of 1.62 million anonymous users in 10 metropolitan areas in the United States (US). The data covers the period from mid-February 2020 (pre-lockdown) to late June 2020 (easing of lockdown restrictions). We detected when users were walking, measured distance walked and time of the walk, and classified each walk as recreational or utilitarian. Our results revealed dramatic declines in walking, especially utilitarian walking, while recreational walking has recovered and even surpassed the levels before the pandemic. However, our findings demonstrated important social patterns, widening existing inequalities in walking behavior across socio-demographic groups. COVID-19 response measures had a larger impact on walking behavior for those from low-income areas, of low education, and high use of public transportation. Provision of equal opportunities to support walking could be key to opening up our society and the economy.
is ?:annotates of
?:creator
?:doi
  • 10.1101/2020.12.07.20245282
?:doi
?:license
  • medrxiv
?:pdf_json_files
  • document_parses/pdf_json/4b172dd7738050f28ddc18eebb95780a4e045a32.json
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • MedRxiv; WHO
?:title
  • Effect of COVID-19 response policies on walking behavior in US cities
?:type
?:year
  • 2020-12-08

Metadata

Anon_0  
expand all