An Interactive Data Visualization and Analytics Tool to Evaluate
Mobility and Sociability Trends During COVID-19
- URL: http://arxiv.org/abs/2006.14882v1
- Date: Fri, 26 Jun 2020 09:27:53 GMT
- Title: An Interactive Data Visualization and Analytics Tool to Evaluate
Mobility and Sociability Trends During COVID-19
- Authors: Fan Zuo, Jingxing Wang, Jingqin Gao, Kaan Ozbay, Xuegang Jeff Ban,
Yubin Shen, Hong Yang, Shri Iyer
- Abstract summary: The C2 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.
This paper presents the architecture of the COVID related mobility data dashboard and preliminary mobility and sociability metrics for NYC and Seattle.
- Score: 11.351884523503765
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: 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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