The effects of COVID-19 on Chinese commuting patterns in early 2020

Vander L.S. Freitas; Leonardo B.L. Santos; Ming Tang; Yong Zou; Elbert E.N. Macau

The effects of COVID-19 on Chinese commuting patterns in early 2020

Vander L.S. Freitas
, Leonardo B.L. Santos
, Ming Tang
, Yong Zou
, Elbert E.N. Macau

School of Physics and Electronic Science

Universidade Federal de Ouro Preto
Centro Nacional de Monitoramento e Alertas de Desastres Naturais
Instituto Nacional de Pesquisas Espaciais
Universidade Federal de São Paulo

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

We build mobility networks from Chinese commuting data and track network metrics for the two months before the WHO pandemic announcement. The Wuhan travel ban on 23 January imposed changes to the level of importance of some central cities in the commuting patterns. While Beijing was the most important city in both the inflows and outflows, Wuhan and other cities became more relevant after the transition.

Original language	English
Pages (from-to)	317-322
Number of pages	6
Journal	Proceedings of the Brazilian Symposium on GeoInformatics
State	Published - 2022
Event	23rd Brazilian Symposium on GeoInformatics, GEOINFO 2022 - Sao Jose dos Campos, Brazil Duration: 28 Nov 2022 → 30 Nov 2022

Cite this

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title = "The effects of COVID-19 on Chinese commuting patterns in early 2020",

abstract = "We build mobility networks from Chinese commuting data and track network metrics for the two months before the WHO pandemic announcement. The Wuhan travel ban on 23 January imposed changes to the level of importance of some central cities in the commuting patterns. While Beijing was the most important city in both the inflows and outflows, Wuhan and other cities became more relevant after the transition.",

author = "Freitas, \{Vander L.S.\} and Santos, \{Leonardo B.L.\} and Ming Tang and Yong Zou and Macau, \{Elbert E.N.\}",

note = "Publisher Copyright: {\textcopyright} 2022 National Institute for Space Research, INPE. All rights reserved.; 23rd Brazilian Symposium on GeoInformatics, GEOINFO 2022 ; Conference date: 28-11-2022 Through 30-11-2022",

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AU - Freitas, Vander L.S.

AU - Santos, Leonardo B.L.

AU - Tang, Ming

AU - Zou, Yong

AU - Macau, Elbert E.N.

PY - 2022

Y1 - 2022

N2 - We build mobility networks from Chinese commuting data and track network metrics for the two months before the WHO pandemic announcement. The Wuhan travel ban on 23 January imposed changes to the level of importance of some central cities in the commuting patterns. While Beijing was the most important city in both the inflows and outflows, Wuhan and other cities became more relevant after the transition.

AB - We build mobility networks from Chinese commuting data and track network metrics for the two months before the WHO pandemic announcement. The Wuhan travel ban on 23 January imposed changes to the level of importance of some central cities in the commuting patterns. While Beijing was the most important city in both the inflows and outflows, Wuhan and other cities became more relevant after the transition.

UR - https://www.scopus.com/pages/publications/85159087346

M3 - 会议文章

AN - SCOPUS:85159087346

SN - 2179-4847

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EP - 322

JO - Proceedings of the Brazilian Symposium on GeoInformatics

JF - Proceedings of the Brazilian Symposium on GeoInformatics

T2 - 23rd Brazilian Symposium on GeoInformatics, GEOINFO 2022

Y2 - 28 November 2022 through 30 November 2022

ER -

The effects of COVID-19 on Chinese commuting patterns in early 2020

Abstract

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