The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic

The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic

This study reveals the human mobility from various sources and the luxury nature of social distancing in the U.S during the COVID-19 pandemic by highlighting the disparities in mobility dynamics from lower-income and upper-income counties. We collect, process, and compute mobility data from four dif...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Xiao Huang, Zhenlong Li, Yuqin Jiang, Xinyue Ye, Chengbin Deng, Jiajia Zhang, Xiaoming Li
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Taylor & Francis Group 2021-04-01
Sarja:International Journal of Digital Earth
Aiheet:
covid-19
mobility
responsive index
visualization
big data
Linkit:http://dx.doi.org/10.1080/17538947.2021.1886358

Internet

http://dx.doi.org/10.1080/17538947.2021.1886358

Samankaltaisia teoksia