Assessing differences in work intensity resilience to pandemic outbreaks using large-scale mobile phone data
文献类型：期刊论文
| 作者 | Yan, Xiaorui1,2; Pei, Tao1,2,3; Gong, Xi4,5; Fu, Zhuoting1,2; Liu, Yaxi6 |
| 刊名 | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
 |
| 出版日期 | 2025-02-01 |
| 卷号 | 136页码:104343 |
| 关键词 | Pandemic outbreak Work intensity Resilience Difference assessment Mobile phone data |
| ISSN号 | 1569-8432 |
| DOI | 10.1016/j.jag.2024.104343 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Pandemic outbreaks significantly disrupt human work activity, which is a crucial aspect of urban daily life, potentially causing reduced income or unemployment. These disruptions often vary across different population groups and regions. However, most existing studies focus on general human mobility patterns with limited attention specific to work activity, and conduct separate analyses on population groups and regions, overlooking intra-population differences across regions and inter-population variations within the same region. To this end, we first introduce the concept of work intensity to quantify the work activity. Using large-scale mobile phone data, we then estimate an individual's work intensity, and characterize the changes in work intensity based on the concept of resilience, i.e., the ability to withstand and recover from a disaster. Finally, we propose a novel analytical framework that integrates both population groups and regions to assess differences in resilience. Herein, we take the pandemic outbreak in Beijing after the sudden relaxation of dynamic zero-COVID policy as a case study due to less policy intervention. Results reveal that females and younger people exhibit lower work intensity resilience, respectively. We also find significant regional differences and several negative features for resilience: short distance to city center, long home-to-work distance, high density of high-paying jobs, low road density, and high density of subway stations. By integrating both population group and region perspectives, we identify vulnerable population groups in specific regions. This integrated perspective can help design more targeted response and recovery strategies, and thereby promote health-related urban resilience and sustainability. |
| URL标识 | 查看原文 |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001399760600001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/211323]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Pei, Tao |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China; 4.Penn State Univ, Inst Computat & Data Sci ICDS, Dept Biobehav Hlth, University Pk, PA 16802 USA; 5.Univ New Mexico, UNM Ctr Advancement Spatial Informat Res & Educ AS, Dept Geog & Environm Studies, Albuquerque, NM 87131 USA; 6.China Mobile Informat Technol Co Ltd, Beijing 102211, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Xiaorui,Pei, Tao,Gong, Xi,et al. Assessing differences in work intensity resilience to pandemic outbreaks using large-scale mobile phone data[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2025,136:104343. |
| APA | Yan, Xiaorui,Pei, Tao,Gong, Xi,Fu, Zhuoting,&Liu, Yaxi.(2025).Assessing differences in work intensity resilience to pandemic outbreaks using large-scale mobile phone data.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,136,104343. |
| MLA | Yan, Xiaorui,et al."Assessing differences in work intensity resilience to pandemic outbreaks using large-scale mobile phone data".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 136(2025):104343. |
入库方式： OAI收割
来源：地理科学与资源研究所
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