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

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19
Creator	Shen, Hong Yang, Hong Wang, Jingxing Ban, Xuegang Ban, Yubin Gao, Jingqin Iyer, Iyer, Shri Ozbay, Kaan Shen, Yubin Xuegang, Jeff Yang, Shri Zuo, Fan
Source	ArXiv
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.
has issue date	2020-06-26(xsd:dateTime)
has license	arxiv
sha1sum (hex)	a2225f813f99cb5748c056a66b347939d11de716
resource representing a document's title	An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19
resource representing a document's body	covid:a2225f813f99cb5748c056a66b347939d11de716#body_text
is schema:about of	named entity 'decisions' named entity 'cities' named entity 'changed' named entity 'cloud computing' named entity 'Seattle' named entity 'visualizations' named entity 'Mobility' named entity 'EVOLVE' named entity 'STUDY' named entity 'NEW YORK CITY' named entity 'PRELIMINARY' named entity 'ARCHITECTURE' named entity 'DATA' named entity 'PLATFORM' named entity 'PUBLIC' named entity 'impact' named entity 'transportation systems' named entity 'investigating' named entity 'mobility' named entity 'visualization' named entity 'policies' named entity 'COVID-19' named entity 'study' named entity 'platform' named entity 'impact' named entity 'interactive data' named entity 'Analytics' named entity 'COVID-19' named entity 'transportation systems' named entity 'travel behavior' named entity 'New York City' named entity 'data mining' named entity 'data analytics' named entity 'COVID-19 outbreak' named entity 'U.S.' named entity 'Seattle' named entity 'cloud computing' named entity 'COVID-19' named entity 'time series' named entity 'gross vehicle weight' named entity 'social distancing' named entity 'Seattle' named entity 'stay-at-home policies' named entity 'GPU' named entity 'New Jersey' named entity 'Interstate-5' named entity 'analysis of data' named entity 'social distancing' named entity 'Seattle' named entity 'social distancing' named entity 'data acquisition' named entity 'cloud computing' named entity 'Seattle' named entity 'open-source' named entity 'U.S.' named entity 'traffic camera' named entity 'object detection' named entity 'ResNet' named entity 'COVID-19 pandemic' named entity 'social distancing' named entity 'social distancing' named entity 'COVID-19 outbreak' named entity 'Seattle' named entity 'World Health Organization' named entity 'GVW' named entity 'algorithm' named entity 'social distancing' named entity 'data set' named entity 'downtown Seattle' named entity 'COVID-19' named entity 'Seattle' named entity 'executive orders' named entity 'Intel Xeon' named entity 'Seattle' named entity 'data analysis'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software