Linnell Kelsey, Fudolig Mikaela Irene, Schwartz Aaron, Ricketts Taylor H, O'Neil-Dunne Jarlath P M, Dodds Peter Sheridan, Danforth Christopher M
Vermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.
Gund Institute for Environment, University of Vermont, Burlington, VT, United States of America.
PLOS Glob Public Health. 2022 Sep 13;2(9):e0000766. doi: 10.1371/journal.pgph.0000766. eCollection 2022.
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.
自2020年3月起,新冠疫情扰乱了大多数美国人的出行模式。尽管户外休闲活动提供了有益的、保持社交距离的活动,但混乱且相互矛盾的公共卫生信息使人们进入自然空间变得复杂。我们使用一个包含2019年和2020年约5000万个不同移动设备位置的数据集,分析了美国8135个公园的每周访客模式。通过贝叶斯推理,我们确定了在疫情最初几周访客量发生重大变化的地区。我们发现,访客量没有变化的地区可能人口较少,并且在2020年选举中投票给共和党的人数多于民主党。我们的研究为越来越多利用被动观测来探索谁从接触自然中受益的文献做出了贡献。