Journal article
Distribution patterns and influencing factors of population exposure risk to particulate matters based on cell phone signaling data
Abstract
In this study, spatial-temporal characteristics of particular matter (PM) exposure risk in Shenyang were analyzed with landscape patterns using data from land use, cell phone signaling, and PM mobile monitoring. Pollution surfaces were established with geographically weighted regression models and impact factors analysis was implemented by boosted regression tree models. The results showed that weekdays and weekends had different spatial …
Authors
Zhang C; Hu Y; Adams MD; Bu R; Xiong Z; Liu M; Du Y; Li B; Li C
Journal
Sustainable Cities and Society, Vol. 89, ,
Publisher
Elsevier
Publication Date
2 2023
DOI
10.1016/j.scs.2022.104346
ISSN
2210-6707