Human Mobility Change Pattern and Influencing Factors during COVID-19, from the Outbreak to the Deceleration Stage: A Study of Seoul Metropolitan City
Human Mobility Change Pattern and Influencing Factors during COVID-19, from the Outbreak to the Deceleration Stage: A Study of Seoul Metropolitan City
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DOI：
10.1080/00330124.2021.1949729
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发表时间：
2021-07-20
影响因子：
1.8
通讯作者：
Ji, Nam-Seok
中科院分区：
文献类型：
--
作者：
Eom, Sunyong;Jang, Minyoung;Ji, Nam-Seok
COVID-19大流行后，许多国家已开始重新开放经济活动;然而，由于该疾病的潜伏期长且传染性高，尽管已开始接种疫苗，但社交距离仍然是一项必要措施。因此，有必要了解从疫情开始到减速的人员流动变化，以控制疾病的传播和振兴经济。本研究以韩国首尔市为例，提出了一种调查人口流动变化及其影响因素的方法。首先，基于移动的大数据，研究了人类移动的变化模式，包括加速和减速阶段。结果表明，不同地区和旅行距离的影响不同。其次，我们明确了社会人口因素，如员工密度和土地使用比例对人类流动变化模式的影响，通过应用机器学习方法。这一发现意味着，社会距离等政策的有效性可能会因社会人口因素而异。例如，拥有更多真实的房地产、公共管理和医疗保健员工的地区显示出快速复苏，并面临重新开放经济活动的传播风险。建议的方法可以帮助理解人员流动和探索退出战略。
Many countries have started to reopen economic activities after the COVID-19 pandemic; however, due to the disease's long incubation period and high infectivity, social distancing remains an essential measure despite the start of vaccinations. It is therefore necessary to understand the changes in human mobility from the outbreak's initiation to deceleration to control the disease's transmission and revitalize the economy. This study suggests a methodology for investigating the changes in human mobility and their influencing factors using a case study of Seoul Metropolitan City, Korea. First, the changing patterns of human mobility were investigated based on mobile big data, including the acceleration and deceleration stages. The results showed that it varied by area and travel distance. Second, we clarified the influence of sociodemographic factors such as employee density and land use proportion on the change pattern of human mobility by applying a machine learning method. This finding implies that the effectiveness of policies such as social distancing can vary with sociodemographic factors. For example, areas with more real estate, public administration, and health care employees showed rapid recovery and faced a transmission risk by reopening economic activities. The suggested methodology can help understand human mobility and explore exit strategies.