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2019-2020 年公共空间活动的时空特征。

Spatial and Temporal Characterization of Activity in Public Space, 2019-2020.

机构信息

Geospatial Science and Human Security Division, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN, 37830, USA.

出版信息

Sci Data. 2022 Jul 5;9(1):379. doi: 10.1038/s41597-022-01480-6.

Abstract

The data reported here characterize spatial and temporal variation in the ratio of short-to-long-duration visits in public places (i.e., points of interest) in the United States for each week between January 2019 and December 2020. The underlying data on anonymized and aggregated foot traffic to public places is curated by SafeGraph, a geospatial data provider. In this work, we report the estimated number and duration of "short" (i.e., <4 hours) and "long" (i.e., >4 hours) visits to public places at the US census block group level. Long visits are shown to be a good proxy for workers based on formal economic data. We propose that short visits are more likely to represent nonobligate activities: people visiting a public place for leisure, shopping, entertainment, or civic or cultural engagement. Our work constructs a ratio of short to long visits, which can be used to inform population estimates for nonworker use of public space. These data may be useful for understanding how people's use of public space has changed during the COVID-19 pandemic and, more generally, for understanding activity patterns in public.

摘要

本报告描述了 2019 年 1 月至 2020 年 12 月期间,美国公共场所(即兴趣点)短时长访问与长时长访问的比例在空间和时间上的变化。基础数据来自地理空间数据提供商 SafeGraph,其对匿名和聚合的公共场所人流量进行了梳理。在这项工作中,我们报告了按美国人口普查街区组级别估算的“短”(即 <4 小时)和“长”(即 >4 小时)访问公共场所的次数和时长。长访问可根据正式经济数据很好地代表工人。我们提出,短访问更有可能代表非强制性活动:人们因休闲、购物、娱乐或公民或文化参与而访问公共场所。我们的工作构建了短时长访问与长时长访问的比值,可用于告知公共场所非工作用途的人口估计。这些数据可能有助于了解在 COVID-19 大流行期间人们对公共空间的使用如何发生变化,并且更普遍地了解公共场所的活动模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7a21/9256745/5a1f9d3be82c/41597_2022_1480_Fig1_HTML.jpg

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