Remote sensing of diverse urban environments: From the single city to multiple cities

G Chen, Y Zhou, JA Voogt, EC Stokes - Remote Sensing of Environment, 2024 - Elsevier
Remote sensing of urban environments has unveiled a significant shift from single-city
investigations to the inclusion of multiple cities. Originated from the ideas of the Remote …

Reconstructing 1-km-resolution high-quality PM2. 5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications

J Wei, Z Li, A Lyapustin, L Sun, Y Peng, W Xue… - Remote Sensing of …, 2021 - Elsevier
Exposure to fine particulate matter (PM 2.5) can significantly harm human health and
increase the risk of death. Satellite remote sensing allows for generating spatially …

Big spatial data for urban and environmental sustainability

B Huang, J Wang - Geo-spatial Information Science, 2020 - Taylor & Francis
Eighty percent of big data are associated with spatial information, and thus are Big Spatial
Data (BSD). BSD provides new and great opportunities to rework problems in urban and …

[HTML][HTML] Observed inequality in urban greenspace exposure in China

Y Song, B Chen, HC Ho, MP Kwan, D Liu… - Environment …, 2021 - Elsevier
Given the important role of green environments playing in healthy cities, the inequality in
urban greenspace exposure has aroused growing attentions. However, few comparative …

Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees

J Wei, Z Li, M Cribb, W Huang, W Xue… - Atmospheric …, 2020 - acp.copernicus.org
Fine particulate matter with aerodynamic diameters≤ 2.5 µ m (PM 2.5) has adverse effects
on human health and the atmospheric environment. The estimation of surface PM 2.5 …

[HTML][HTML] Understanding global PM2. 5 concentrations and their drivers in recent decades (1998–2016)

CH Lim, J Ryu, Y Choi, SW Jeon, WK Lee - Environment international, 2020 - Elsevier
The threat of fine particulate matter (PM2. 5) is increasing globally. Tackling this issue
requires an accurate understanding of its trends and drivers. In this study, global risk regions …

Spatially varying impacts of built environment factors on rail transit ridership at station level: A case study in Guangzhou, China

S Li, D Lyu, G Huang, X Zhang, F Gao, Y Chen… - Journal of Transport …, 2020 - Elsevier
Understanding the relationship between the rail transit ridership and the built environment is
crucial to promoting transit-oriented development and sustainable urban growth …

Understanding the modifiable areal unit problem in dockless bike sharing usage and exploring the interactive effects of built environment factors

F Gao, S Li, Z Tan, Z Wu, X Zhang… - International Journal …, 2021 - Taylor & Francis
Understanding the influence mechanisms of dockless bike-sharing usage is essential for
land use planning and bike scheduling strategy implementation. Although various studies …

Long-term PM2. 5 pollution over China: Identification of PM2. 5 pollution hotspots and source contributions

MA Ali, Z Huang, M Bilal, ME Assiri, A Mhawish… - Science of The Total …, 2023 - Elsevier
Fine particulate matter, with an aerodynamic diameter≤ 2.5 μm (PM 2.5), is a severe
problem in China. The lack of ground-based measurements and its sparse distribution …

The varying patterns of rail transit ridership and their relationships with fine-scale built environment factors: Big data analytics from Guangzhou

S Li, D Lyu, X Liu, Z Tan, F Gao, G Huang, Z Wu - Cities, 2020 - Elsevier
Investigating the varying ridership patterns of rail transit ridership and their influencing
factors at the station level is essential for station planning, urban planning, and passenger …