Epidemiological-survey-based multidimensional modeling for understanding daily mobility during the COVID-19 pandemic across urban-rural gradient in the Chinese mainland-Reference-Cited by-同舟云学术

Epidemiological-survey-based multidimensional modeling for understanding daily mobility during the COVID-19 pandemic across urban-rural gradient in the Chinese mainland

Published:2023-01-24 Issue:4 Volume:26 Page:603-615
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Zhao Feng¹²^ORCID,Dai Zixuan²^ORCID,Zhang Wenyu²^ORCID,Shan Yiting²^ORCID,Fu Cheng³^ORCID

Affiliation:

1. Key Laboratory of Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan, China

2. College of Urban and Environmental Sciences, Central China Normal University, Wuhan, China

3. Department of Geography, University of Zurich, Zurich, Switzerland

Funder

the Central China Normal University startup fund

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2022.2156821

Reference46 articles.

1. Human mobility: Models and applications

2. Uncovering the socioeconomic facets of human mobility

3. Quantification of Free-Living Community Mobility in Healthy Older Adults Using Wearable Sensors

4. Lockdowned: Everyday mobility changes in response to COVID-19

5. Using global positioning systems to study health-related mobility and participation

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