Fine-scale spatial variability of pedestrian-level particulate matters in compact urban commercial districts in Hong Kong

• Main Authors: Shi, Y, Ng, E
• Other Authors: FINANCE
• Format: Article
• Published: MDPI 2020
• Subjects: environmental risk; health impact; health risk; interpolation; particulate matter; pedestrian; spatial variation; urban area; Hong Kong; human; air pollutant; air pollution; analysis; environmental monitoring; particle size; procedures; spatial analysis; statistical model; statistics and numerical data; China; Air Pollutants; Air Pollution; Environmental Monitoring; Humans; Models, Statistical; Particle Size; Particulate Matter; Pedestrians; Spatial Analysis
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/183500
• Institution: National University of Singapore

10.3390/ijerph14091008