Nonstationary relationships among individuals' concurrent exposures to noise, air pollution and greenspace: A mobility-based study using GPS and mobile sensing data.

Individuals are often exposed to multiple environmental factors simultaneously. Understanding their joint effects is essential for developing effective public health policies. However, there has been a lack of research examining individuals' concurrent exposures to multiple environmental factors during people's daily mobility. To address this gap, this study investigated the relationships between and geographic patterns of individual exposures to air pollution (PM 2.5), noise and greenspace using individual-level real-time GPS and mobile sensing data collected in outdoor environments. The findings indicate that the relationships between individual exposures to air pollution, noise and greenspace vary across different value ranges of exposures. The study also reveals that people's concurrent exposures to multiple environmental factors exhibit spatial nonstationary and strong clustering patterns. These results highlight the importance of considering spatial nonstationary and spatial heterogeneity of environmental exposures in understanding the relationships between multiple exposures in environmental health research. • We investigate the geographic patterns of individual exposures to air pollution, noise and greenspace. • We use real-time GPS data, mobile sensing data, and a mobility-based framework. • The relationships between individuals' concurrent exposures vary across different value ranges of exposures. • People's concurrent exposures exhibit spatial nonstationary and strong clustering patterns. • It is necessary to consider spatial nonstationary and spatial heterogeneity in concurrent environmental exposures. [ABSTRACT FROM AUTHOR]