School of Geography and Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China.
National Engineering Research Center of Geographic Information System, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China.
Int J Environ Res Public Health. 2021 Apr 26;18(9):4583. doi: 10.3390/ijerph18094583.
Severe air pollution has become a major risk to human health from a global environmental perspective. It has been recognized that human mobility is an essential component in individual exposure assessment. Activity structure reflects the characteristics of human mobility. Thus, a better understanding of the relationship between human activity structure and individual exposure level is of crucial relevance. This study examines this relationship using a large cell-phone GPS dataset in Wuhan, China. The results indicate that there is a strong linear relationship between people's activity structures and exposures to PM. Inter-group comparisons based on the four activity structure groups obtained with K-means clustering found that groups with different activity structures do experience different levels of PM exposure. Furthermore, differences in detailed characteristics of activity structure were also found at different exposure levels at the intra-group level. These results show that people's activity structures do influence their exposure levels. The paper provides a new perspective for understanding individual exposure through human activity structure, which helps move the perspective of research on individual exposure from the semantic of physical location to the semantic of human activity pattern.
从全球环境角度来看,严重的空气污染已成为人类健康的主要威胁。人们已经认识到,人类的流动性是个体暴露评估的一个重要组成部分。活动结构反映了人类流动性的特征。因此,更好地了解人类活动结构与个体暴露水平之间的关系至关重要。本研究使用中国武汉的一个大型手机 GPS 数据集来研究这种关系。结果表明,人们的活动结构与 PM 的暴露之间存在很强的线性关系。基于 K-均值聚类获得的四个活动结构组进行的组间比较发现,不同活动结构的组确实会经历不同水平的 PM 暴露。此外,在组内水平上,还发现了不同暴露水平下活动结构详细特征的差异。这些结果表明,人们的活动结构确实会影响他们的暴露水平。本文通过人类活动结构为理解个体暴露提供了一个新的视角,有助于将个体暴露研究的视角从物理位置的语义转移到人类活动模式的语义。