Tong Li

TL;DR: In this article, the authors examined the potential differences in the relationship between urban LST and the landscape characteristics of urban green space (UGS) in different seasons and UGS gradients.

TL;DR: Li et al. as discussed by the authors explored the potential heterogeneity in the driving forces of the urbanization process for air pollution risk, based on ground-level fine particulate matter (PM25) monitoring data and socioeconomic panel data for the period 2014-2018 and found that there were contradictory pairwise-relationship curves related to the classical Environmental Kuznets Curve (EKC) hypothesis between the agglomeration and urban scales.

TL;DR: Wang et al. as mentioned in this paper analyzed data from 1995, 2005, and 2015 using mathematical calculations, spatial analysis, and a geographically weighted regression model, and showed that from 1995 to 2015, the comprehensive regional development degree (RDD) of urban agglomeration in the middle of Jilin Province increased overall, with the average RDD increasing from 0.250 in 1995 to 0.323 in 2015.

TL;DR: Wang et al. as discussed by the authors analyzed the effects of three types of factors (surface biophysical parameters, building form, and landscape metrics) on land surface temperature (LST) in UFZs.

TL;DR: In this study, 11 urban agglomerations with different urbanization levels in China were chosen as the case study areas, to explore the spatiotemporal heterogeneity of PM2.5 and its potential driving difference related to the urbanization process from a multi-urban agglomersation perspective.