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Spatial changes in park visitation at the onset of the pandemic.
Linnell, Kelsey; Fudolig, Mikaela Irene; Schwartz, Aaron; Ricketts, Taylor H; O'Neil-Dunne, Jarlath P M; Dodds, Peter Sheridan; Danforth, Christopher M.
Afiliación
  • Linnell K; Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.
  • Fudolig MI; Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.
  • Schwartz A; Gund Institute for Environment, University of Vermont, Burlington, VT, United States of America.
  • Ricketts TH; Gund Institute for Environment, University of Vermont, Burlington, VT, United States of America.
  • O'Neil-Dunne JPM; Spatial Analysis Laboratory, University of Vermont, Burlington, VT, United States of America.
  • Dodds PS; Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.
  • Danforth CM; Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.
PLOS Glob Public Health ; 2(9): e0000766, 2022.
Article en En | MEDLINE | ID: mdl-36962568
ABSTRACT
The COVID-19 pandemic disrupted the mobility patterns of a majority of Americans beginning in March 2020. Despite the beneficial, socially distanced activity offered by outdoor recreation, confusing and contradictory public health messaging complicated access to natural spaces. Working with a dataset comprising the locations of roughly 50 million distinct mobile devices in 2019 and 2020, we analyze weekly visitation patterns for 8,135 parks across the United States. Using Bayesian inference, we identify regions that experienced a substantial change in visitation in the first few weeks of the pandemic. We find that regions that did not exhibit a change were likely to have smaller populations, and to have voted more republican than democrat in the 2020 elections. Our study contributes to a growing body of literature using passive observations to explore who benefits from access to nature.

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: PLOS Glob Public Health Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: PLOS Glob Public Health Año: 2022 Tipo del documento: Article