中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Measuring Chinese mobility behaviour during COVID-19 using geotagged social media data

文献类型:期刊论文

作者Zhu, Kaixin1; Cheng, Zhifeng2; Wang, Jianghao1,3
刊名HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
出版日期2024-04-27
卷号11期号:1页码:540
DOI10.1057/s41599-024-03050-0
产权排序1
文献子类Article
英文摘要COVID-19 caused widespread disruption to normal lives and human activities. In China, the mobility behaviour response to the COVID-19 pandemic at the intra-city and population group levels is largely unknown, mainly due to a lack of individual-level publicly available mobility data. Using 210 million geotagged posts from 10 million social media users, the study quantified the changes in stay-at-home and outings across amenities and groups in China during the pandemic. The users were compared to national census data to examine their representativeness. To validate the results externally, the geotagged data was performed post-stratified correction and further comparison with commonly used data sources. The findings reveal that (i) there was between 16.8% and 57.7% decrease in visits to places of work, retail and recreation sites, parks, transit stations, grocery stores, and pharmacies within one month of the outbreak; (ii) those who are young, have a bachelor's degree or higher, and are unmarried experienced a greater decline in outings; (iii) people preferred to visit nearby locations, resulting in a 4.3% increase in visits to retail and recreational sites within a 3-kilometer radius of their homes. The data and findings could gain insight into the asymmetric impact of the pandemic on public infrastructure use and socio-demographic groups, helping design targeted policies to promote outdoor activities, stimulate economic recovery, and alleviate social inequality in vulnerable groups.
WOS关键词SOCIOECONOMIC-FACTORS ; RESTRICTIONS ; LOCKDOWN
WOS研究方向Arts & Humanities - Other Topics ; Social Sciences - Other Topics
语种英语
出版者SPRINGERNATURE
WOS记录号WOS:001209752500001
源URL[http://ir.igsnrr.ac.cn/handle/311030/204796]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Univ Southampton, WorldPop, Sch Geog & Environm Sci, Southampton SO17 1BJ, England
4.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Kaixin,Cheng, Zhifeng,Wang, Jianghao. Measuring Chinese mobility behaviour during COVID-19 using geotagged social media data[J]. HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS,2024,11(1):540.
APA Zhu, Kaixin,Cheng, Zhifeng,&Wang, Jianghao.(2024).Measuring Chinese mobility behaviour during COVID-19 using geotagged social media data.HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS,11(1),540.
MLA Zhu, Kaixin,et al."Measuring Chinese mobility behaviour during COVID-19 using geotagged social media data".HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS 11.1(2024):540.

入库方式: OAI收割

来源:地理科学与资源研究所

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