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Spatiotemporal Patterns of Human Mobility and Its Association with Land Use Types during COVID-19 in New York City

1
Geoinformation and Big Data Research Lab, Department of Geography, University of South Carolina, Columbia, SC 29208, USA
2
Department of Geosciences, University of Arkansas, Fayetteville, AR 72701, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(5), 344; https://doi.org/10.3390/ijgi10050344
Received: 10 April 2021 / Revised: 13 May 2021 / Accepted: 16 May 2021 / Published: 18 May 2021
The novel coronavirus disease (COVID-19) pandemic has impacted every facet of society. One of the non-pharmacological measures to contain the COVID-19 infection is social distancing. Federal, state, and local governments have placed multiple executive orders for human mobility reduction to slow down the spread of COVID-19. This paper uses geotagged tweets data to reveal the spatiotemporal human mobility patterns during this COVID-19 pandemic in New York City. With New York City open data, human mobility pattern changes were detected by different categories of land use, including residential, parks, transportation facilities, and workplaces. This study further compares human mobility patterns by land use types based on an open social media platform (Twitter) and the human mobility patterns revealed by Google Community Mobility Report cell phone location, indicating that in some applications, open-access social media data can generate similar results to private data. The results of this study can be further used for human mobility analysis and the battle against COVID-19. View Full-Text
Keywords: COVID-19; human mobility; big data COVID-19; human mobility; big data
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MDPI and ACS Style

Jiang, Y.; Huang, X.; Li, Z. Spatiotemporal Patterns of Human Mobility and Its Association with Land Use Types during COVID-19 in New York City. ISPRS Int. J. Geo-Inf. 2021, 10, 344. https://doi.org/10.3390/ijgi10050344

AMA Style

Jiang Y, Huang X, Li Z. Spatiotemporal Patterns of Human Mobility and Its Association with Land Use Types during COVID-19 in New York City. ISPRS International Journal of Geo-Information. 2021; 10(5):344. https://doi.org/10.3390/ijgi10050344

Chicago/Turabian Style

Jiang, Yuqin, Xiao Huang, and Zhenlong Li. 2021. "Spatiotemporal Patterns of Human Mobility and Its Association with Land Use Types during COVID-19 in New York City" ISPRS International Journal of Geo-Information 10, no. 5: 344. https://doi.org/10.3390/ijgi10050344

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