TY - JOUR
T1 - The effects of COVID-19 on Chinese commuting patterns in early 2020
AU - Freitas, Vander L.S.
AU - Santos, Leonardo B.L.
AU - Tang, Ming
AU - Zou, Yong
AU - Macau, Elbert E.N.
N1 - Publisher Copyright:
© 2022 National Institute for Space Research, INPE. All rights reserved.
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
SP - 317
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 -