论文标题

交互式数据可视化和分析工具,用于评估Covid-19期间的移动性和社交趋势

An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19

论文作者

Zuo, Fan, Wang, Jingxing, Gao, Jingqin, Ozbay, Kaan, Ban, Xuegang Jeff, Shen, Yubin, Yang, Hong, Iyer, Shri

论文摘要

在受影响的城市中,Covid-19-19爆发发生了巨大改变。 C2SMART研究团队一直在研究Covid-19对流动性和社交性的影响。纽约市(纽约市)和西雅图,这是美国Covid-19的两个城市中的两个城市,在我们的初步研究中包括在美国。为交互式数据分析和可视化开发了具有数据挖掘和云计算功能的多合一仪表板,以促进对爆发和相应政策的影响(例如在运输系统上的社会距离)的影响。该平台定期更新,并随着新数据,影响指标和可视化的添加,以帮助公众和决策者做出明智的决策。本文介绍了COVID相关的移动性数据仪表板的架构以及纽约市和西雅图的初步移动性和社交指标。

The COVID-19 outbreak has dramatically changed travel behavior in affected cities. The C2SMART research team has been investigating the impact of COVID-19 on mobility and sociability. New York City (NYC) and Seattle, two of the cities most affected by COVID-19 in the U.S. were included in our initial study. An all-in-one dashboard with data mining and cloud computing capabilities was developed for interactive data analytics and visualization to facilitate the understanding of the impact of the outbreak and corresponding policies such as social distancing on transportation systems. This platform is updated regularly and continues to evolve with the addition of new data, impact metrics, and visualizations to assist public and decision-makers to make informed decisions. This paper presents the architecture of the COVID related mobility data dashboard and preliminary mobility and sociability metrics for NYC and Seattle.

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