A5101723540- Land Use and Ecosystem Services
- Urban Green Space and Health
- Urban Transport and Accessibility
- Urban Heat Island Mitigation
- Air Quality and Health Impacts
- Energy, Environment, Economic Growth
- Environmental Impact and Sustainability
- Regional Economics and Spatial Analysis
- Conservation, Biodiversity, and Resource Management
- Spatial and Panel Data Analysis
- Remote Sensing and Land Use
- Regional Economic and Spatial Analysis
- Rangeland Management and Livestock Ecology
- Economic and Environmental Valuation
- Water Resources and Sustainability
- Impact of Light on Environment and Health
- Fiscal Policy and Economic Growth
- Economic Growth and Productivity
- Urbanization and City Planning
- Urban Design and Spatial Analysis
- Sustainable Building Design and Assessment
- Aviation Industry Analysis and Trends
- Efficiency Analysis Using DEA
- Energy, Environment, and Transportation Policies
- Place Attachment and Urban Studies
Chinese Academy of Sciences
2016-2025
Institute of Geographic Sciences and Natural Resources Research
2016-2025
University of Chinese Academy of Sciences
2014-2025
Northwest Normal University
2019
Rapid economic growth, industrialization, and urbanization in China have led to extremely severe air pollution that causes increasing negative effects on human health, visibility, climate change. However, the influence mechanisms of these anthropogenic factors fine particulate matter (PM2.5) concentrations are poorly understood. In this study, we combined panel data econometric methods investigate main contribute PM2.5 at prefecture level from 1999 2011. The results showed three were...
Identifying the driving mechanisms and forces of urban expansion is an important step toward better understanding spatial pattern, process, consequences expansion, which essential for making effective growth planning policies. Despite many previous studies devoted to investigating patterns mechanisms, spatial-temporal dynamics their regional differences have not been well-documented. This study examines drivers effects across different regions in China periods. A Probit model employed, with...
Abstract Rapid urban expansion has profound impacts on global biodiversity through habitat conversion, degradation, fragmentation, and species extinction. However, how future will affect needs to be better understood. We contribute filling this knowledge gap by combining spatially explicit projections of under shared socioeconomic pathways (SSPs) with datasets terrestrial (amphibians, mammals, birds). Overall, lead 11–33 million hectares natural loss 2100 the SSP scenarios disproportionately...
Urban air pollution is one of the most visible environmental problems to have accompanied China’s rapid urbanization. Based on emission inventory data from 2014, gathered 289 cities, we used Global and Local Moran’s I measure spatial autorrelation Air Quality Index (AQI) values at city level, employed Ordinary Least Squares (OLS), Spatial Lag Model (SAR), Geographically Weighted Regression (GWR) quantitatively estimate comprehensive impact variations urbanization process quality. The results...
Urban landscape spatiotemporal change patterns and their driving mechanisms in China are poorly understood at the national level. Here we used remote sensing data, metrics, a spatial econometric model to characterize of urban investigate its forces between 1990 2005. The results showed that pattern has experienced drastic changes over past 15 years. Total area expanded approximately 1.61 times, with 2.98% annual urban-growth rate. Compared previous single-city studies, although areas...
Urban green space has a critical impact on the urban ecological environment, residents’ health, and sustainability. Quantifying residential exposure to proposing targeted enhancement strategies in areas is helpful rationally plan construction, reduce inequality space, promote environmental equity. However, long-time evolution analysis of at different scales influence quality are rarely reported. Here we produced series dataset from 1990 2020 based 30 m Landsat data used Normalized Difference...