论文标题
观察到的流动性行为数据揭示了社会遥远的惯性
Observed mobility behavior data reveal social distancing inertia
论文作者
论文摘要
研究团队利用了一个集成的数据集，该数据集由匿名位置数据，COVID-19案例数据和人口普查人口信息组成，以研究Covid-19对人类流动性的影响。该研究表明，与社会疏远有关的统计数据，即旅行率，每人旅行的里程以及留在家里的人口百分比都显示出一种意外的趋势，我们将其命名为社会疏远的惯性。这些趋势表明，一旦观察到了共同的19例案件，无论政府行动如何，统计数据就开始改善。这表明，一部分人口可以并且愿意自愿自愿地进行社会疏远，自然而然地对1900案件的出现做出了反应。然而，大约两周后，尽管Covid-19病例的持续增加，统计数据仍饱和并停止了改善。该研究表明，对社会距离有一种自然行为的惯性，这限制了与社会竞争有关的统计数据的改善程度。国家数据表明，惯性现象是普遍的，在美国所有州以及所有研究的统计数据中发生。美国各州表现出同步的趋势，无论其全州COVID-19案件差或政府命令的时间表如何。
The research team has utilized an integrated dataset, consisting of anonymized location data, COVID-19 case data, and census population information, to study the impact of COVID-19 on human mobility. The study revealed that statistics related to social distancing, namely trip rate, miles traveled per person, and percentage of population staying at home have all showed an unexpected trend, which we named social distancing inertia. The trends showed that as soon as COVID-19 cases were observed, the statistics started improving, regardless of government actions. This suggests that a portion of population who could and were willing to practice social distancing voluntarily and naturally reacted to the emergence of COVID-19 cases. However, after about two weeks, the statistics saturated and stopped improving, despite the continuous rise in COVID-19 cases. The study suggests that there is a natural behavior inertia toward social distancing, which puts a limit on the extent of improvement in the social-distancing-related statistics. The national data showed that the inertia phenomenon is universal, happening in all the U.S. states and for all the studied statistics. The U.S. states showed a synchronized trend, regardless of the timeline of their statewide COVID-19 case spreads or government orders.
